Furthermore, the Australian Signals Directorate logged 87,400 cybercrime reports in FY2023 to 2024 and answered 36,700 hotline calls.

Moreover, business email compromise losses reached about 84 million dollars, with more than 55,000 dollars per confirmed incident on average. Meanwhile, in 2025, high profile cases such as the Qantas contact centre incident, which affected data of up to six million customers, kept the issue on the front page.

This post explains how breaches happen, what compliance demands, and how DoxAI reduces data breach and cybersecurity risk with end to end workflow automation, agentic workflows and AI agents for finance, legal, professional services and healthcare.

The breach story in Australia email error and exposure

Email remains risky. The Office of the Australian Information Commissioner (OAIC) reports show human error is a recurring cause, including wrong recipient emails, failure to BCC and failure to redact. Malicious attacks continue to rise, including phishing, credential compromise and ransomware. Australian Signals Directorate business trends confirm that email compromise and business email compromise are top incidents with material losses and disruption .

Remote and hybrid work widens the attack surface. Home and public networks often lack corporate safeguards, which lifts the risk of credential theft and account takeover that frequently begins in the inbox .

What it costs and why prevention pays

Self reported average losses per cybercrime incident were $49,600 for small businesses, $62,800 for medium businesses and $63,600 dollars for large businesses in FY2023 to 2024. Business email compromise alone cost Australian organisations about $84 million with more than $55,000 per confirmed case on average . Cutting even a handful of preventable email driven incidents improves risk and margin.
Australia faces mounting cyber risk, with the average data breach now costing AUD 4.26 million which is a 27 per cent rise since 2020 according to IBM’s Cost of a Data Breach report.

Compliance guardrails you must meet

Australian regulators expect privacy by design. The Australian Privacy Principles govern collection, use, disclosure and security of personal information under the Privacy Act 1988. If you handle Tax File Numbers the Privacy TFN Rule 2015 sets strict rules for collection, storage, use, disclosure, security and disposal. Breaches can be an interference with privacy under the Act . The Notifiable Data Breaches scheme sets out when and how you must notify affected individuals and the Commissioner after eligible breaches .

The implication is clear. Reduce reliance on unsecured networks, email attachments and manual handling. Build evidence into routine work with audit trails, approvals and redaction logs.

Reduce breach risk with a secure pattern then automate it

Here is the pattern that lowers risk and simplifies audit

1. Intake. Collect documents and data via a secure portal, not email.
2. Cybersecurity risk assessment for AI.
3. Fraud Check.
4. Categorise & Classify. Split and label files automatically to prevent mis filing.
5. Extract. Turn unstructured content into structured fields for core systems.
6. Validate. Cross check totals, dates, IDs and anomalies at the gate.
7. Redact. Share client safe copies with TFNs and other identifiers masked.
8. Sign and witness. Capture eSignatures and eWitnessing with full evidence.
9. Archive. Store with retention, legal hold and access controls.
10. Orchestrate. Let AI agents move work to done under policy and logs.

DoxAI productises each step with efficiency, accuracy and compliance.

How DoxAI reduces data breach and cybersecurity risk product by product

Cybersecurity risk Assessment for AI Projects

What it does: Independent cyber risk assessments and continuous monitoring across your organisation and key suppliers, with risk scoring, compliance and resilience reporting, and prioritised remediation in one dashboard.
Risk reduction: Surfaces misconfigurations, third party exposure and control gaps early, so you can fix the highest risk issues first and show clear oversight to boards and auditors.
Use it for: baseline assessments for AI projects, supplier and portfolio reviews, regulatory readiness, and ongoing risk posture tracking.

Prompt Guarding AI

What it does: Applies policy based controls to AI use by monitoring prompts and outputs, isolating context, enforcing allow lists for tools and data, and adding approval steps for sensitive actions.
Risk reduction: Blocks prompt injection and data leakage, reduces unintended access to confidential information, and creates an evidence trail for review.
Use it for: chat and agent workflows, retrieval augmented tasks, internal copilots, and any AI feature that touches sensitive data.

Fraud Check AI

What it does: Detects suspicious patterns across documents and data, verifies identity, income and assets, checks for duplicates and tampering, and routes flagged items for review.
Risk reduction: Lowers false approvals, catches manipulated or fabricated submissions, and reduces financial loss from fraud attempts.
Use it for: onboarding packs, KYC and AML, lending and broker submissions, claims processing, and matter or case intake.

Data Exchange secure intake/onboarding replaces risky inboxes

What it does: Structured document collection, checklists, consent capture, automatic reminders and eSignature in one flow.
Risk reduction: Removes ad hoc attachments, wrong recipient emails and missing BCC scenarios that OAIC flags. Provides access controls, SSO and MFA, and tamper evident audit trails.
Use it for: onboarding packs, document fraud check, KYC and AML, lending, matter intake, patient or student enrolment and much more.

Categorise AI auto split and classify

What it does: Advanced AI & ML model that reads any file formats including PDFs, splits them into the correct document types, then applies your taxonomy automatically in seconds.
Risk reduction: Prevents mis filing and accidental disclosure and routes low confidence items to review.
Use it for: lender packages, legal bundles, claim files, admission packs and much more.

Extract AI accurate field capture

What it does: Extracts key fields, tables and line items from PDFs, images and scans into structured data.
Risk reduction: Reduces manual re keying errors that cause compliance and reporting issues and supports privacy by design handling of personal information.
Use it for: invoices, bank statements, payslips, IDs, forms and much more.

Cross-Check AI validate early and catch anomalies

What it does: Cross checks totals, dates and identifiers across documents and periods and flags exceptions for review.
Risk reduction: Detects fabricated or manipulated submissions sooner and reduces false approvals and downstream rework.
Use it for: invoices, bank statements, payslips, IDs, forms and much more.

Redact AI irreversible redaction by default

What it does: Automatically redacts sensitive client data from structure or unstructured documents automatically. Such as TFNs, Credit Card numbers, ABNs, and other sensitive data from working copies and logs every action.
Risk reduction: Supports the TFN Rule and reduces human error types that OAIC highlights including failure to redact and wrong recipient emails.
Use it for: legal & financial documents, healthcare records, compliance and regulatory reporting,large archive and bulk redaction, document archiving, newsroom integrity, automated storage systems and support centre requests, and more.

eSignature and eWitnessing evidence built in

What they do Secure signing and digital witnessing with identity checks, timing and evidence summaries.
Risk reduction Lowers fraud risk in signature flows and creates complete audit trails for Australian Privacy Principles accountability.
Use it for: Contracts, deeds, resolutions, HR forms, Client consent, enrolments, government attestations, and much more.

eVault secure storage and governance

What it does Retention policies, legal hold, immutable logs and access controls.
Risk reduction Limits over sharing and untracked copies and simplifies investigations and regulator responses.
Use it for: Records under retention, legal hold, audit evidence, Financial & legal documents, clinical and student archives, and much more.

AI Agent Marketplace agentic workflows under policy

What it does: Deploy AI agents that execute the steps above with policy as code, role based access and rollback.
Risk reduction: Keeps agentic workflows inside your governance model and logs every step for review.
Use it for: Onboarding, identity verification, lending, reconciliation and claims, matter assembly, vendor onboarding and procurement flows, and much more.

A 90 day secure automation plan

Weeks 1 to 3 Choose one weekly workflow

Select a process with measurable value such as lower business email compromise exposure, fewer inbox chasers or faster approvals. Map inputs and approvals and agree the definition of done.

Weeks 4 to 8 Engineer the data path

Move intake to Data Exchange. Classify with Categorise AI. Capture fields in Extract AI. Validate with Cross Check AI. Produce redacted sharing copies with Redact AI. Collect eSignatures and eWitnessing.

Weeks 9 to 12 Prove and template

Publish before and after metrics including fewer mis sent emails, fewer exceptions and faster cycle times. Template the build and scale to two more processes.

Bottom line

Breaches in Australia are rising in volume and impact. Email, unsecured workflows and manual handling sit at the centre of many incidents. You can shrink risk and cycle time together. Standardise intake. Structure data. Validate early. Redact by default. Then let AI agents move work to done under policy and audit.

Ready to reduce breach risk and ship secure automation
Book a 30 minute session. We will design your first end to end flow with Data Exchange to Categorise to Extract to Cross Check to Redact to Agents.

About DoxAI

DoxAI is your trusted process automation partner, enabling to transition from outdated systems to cutting-edge AI technology. Our platform streamlines the collection, management, processing, and storage of data, enhancing security, reducing operational costs, and boosting customer engagement. DoxAI empowers providers to automate and secure every step of their data and document handling processes. Our suite of products supports end-to-end workflows, from intake to archiving, ensuring privacy, compliance and faster service delivery.

Security at Scale

We also enforce strict security, including encryption in transit and at rest, strong access controls and multi-factor authentication. As a SOC2 Type 2, HIPPA, GDPR and PCI DSS certified organisation, we undergo regular audits and penetration tests to maintain top-tier data protection. We deliver a scalable cloud-based infrastructure that supports your business growth without compromising performance. Our service-oriented architecture automates expansion, and we store data locally to meet sovereignty and regulatory requirements.

Our solutions are agnostic to the medium and easy to integrate into existing workflows or legacy systems via iFrame or API in less than a week.

References

#documentcollection #workflowautomation #cybersecurityAustralia #processautomation #documentmanagementsystem #compliance #datacollection #esignature #kyc #kyb #aml #ctf #pep #biometrics #automaticreminders #personalisedmessaging #whitelabeling #auditlog processautomation #agenticworkflows #aiagents #AIcategorisation

Key findings at a glance

• Priority vs. proof: 57% rank AI adoption as a top priority. 54% feel confident proving ROI. Yet 53% say reducing AI security and legal risk is “very” or “extremely” difficult.
• Leadership vs. alignment: 55% of CEOs/boards see AI as very important, but only 47% say IT and security goals align with AI strategy.
• Complexity everywhere: Top drivers include unstructured data (44%), IoT growth (46%), and emerging cyber threats (52%). Teams juggle ~15 security tools on average.
• Budget and time: 31% cite insufficient funding, 29% limited time to integrate, and 28% misalignment between IT and security.
• Top risks: Privacy (44%), weak encryption (42%), and poor system configuration from AI over-reliance (40%).
• Mitigations rising: Data security programs (46%), prompt-validation tools (39%), governance frameworks (38%), and staff training on AI-driven threats (39%).
• Adoption trends: Among the 50% already deploying AI, 32% use GenAI today and 26% plan rollout in six months. Agentic AI remains early: 19% live, 16% near-term.

Leadership support is high, but alignment is patchy

Executive sponsorship is no longer the hurdle. However, strategy often outruns enablement. Only 47% report tight alignment between AI goals and IT/security plans. Consequently, teams spin up pilots without the processes, data pipelines, and guardrails that production demands. Many organisations are hiring CAIO/CDO roles to close this gap, yet role clarity and accountability still matter more than titles.

Complexity is the hidden tax on AI readiness

Information sprawl drags down timelines and confidence. Unstructured files, IoT streams, and a sprawling security stack create fragmentation. Therefore, even simple AI use cases inherit brittle inputs and inconsistent controls. Simplify the path in, not the model first.

Practical moves:

• Run AI cybersecurity assessments to test access, logging, encryption, retention, and alignment to ISO 42001 and ISO 27001.
• Apply prompt guarding to block injection and data leakage with allow lists, context isolation, output filters, and human in the loop for higher risk actions.
• Add fraud checks to verify identity, income, and assets, detect duplicates and tampered files, and trigger step up verification when required.
• Standardise intake and consent at the front door.
• Categorise and classify files automatically and route exceptions.
• Extract fields into structured records before they touch core systems.
• Validate totals, identifiers, and periods early.
• Redact sensitive data in working copies by default.
• Cross check and reconcile documents and data before posting, surfacing exceptions for review.
• Assess cybersecurity risk for existing and future AI projects with a single register of use cases, data sensitivity, supplier exposure, controls, and owners.
• Structure data at field level, tag sensitivity and purpose, minimise personal information passed downstream, and enforce least privilege.
• Secure storage and access with encryption in transit and at rest, role based access, retention and legal hold, immutable logs, and access pattern monitoring.

Privacy and security concerns dominate

Privacy risk leads the list, followed by weak crypto hygiene and misconfigurations. Accordingly, leaders are investing in data security programs, governance frameworks, and human training. Evidence is essential. If you cannot show who accessed what, when, and under what policy, audits will stall no matter how clever the model is.

Adoption: GenAI first, Agentic AI next

GenAI is spreading through security operations, productivity, threat detection, and software development. Yet copyright risk, skills gaps, and regulatory uncertainty slow scale-up. Meanwhile, Agentic AI and Service AI remains early but promising. It moves from “assist” to “act,” provided you set policy, logging, and human-in-the-loop checkpoints.

The Path Forward

The findings suggest that while organisations are eager to reap the benefits of AI, their governance, risk management, and information complexity challenges remain major stumbling blocks.

To close the readiness gap, leaders must:

• Run Cybersecurity risk assessments for AI projects
• Engage AI ROI focused business with proven use cases
• Appoint dedicated AI oversight (59% of respondents see this as critical).
• Streamline governance and security policies (56%).
• Reduce overlapping technologies and complexity (55%).

Without addressing these foundations, AI investments risk being undermined by fragmentation, weak security, and misaligned leadership priorities.

A simple readiness blueprint (90 days)

Weeks 1–3 — Pick one weekly workflow
Choose a process with a clear owner and measurable value: time saved, error reduction, or cycle time. Map inputs, approvals, cybersecurity risk assessment for AI projects and “definition of done.”

Weeks 4–8 — Engineer the data path
Replace ad-hoc email with a secure portal. Categorise, classify, extract, and cross-check before data hits systems of record. Redact by default for any external sharing.

Weeks 9–12 — Prove and scale
Publish before/after metrics, document the controls, and template the build for two more use cases.

How DoxAI closes the readiness gap

DoxAI reduces complexity and bakes governance into daily work. Each step is modular; together they create an auditable, end-to-end pipeline.

• Cybersecurity Risk Assessment out of the box provides independent risk assessments and continuous monitoring with compliance and resilience reporting, supply chain and vendor risk scoring, and prioritised mitigation in one dashboard.
• Prompt Guarding AI applies policy based controls to AI use by baselining risks, mapping controls to frameworks, monitoring prompts and outputs, and alerting on prompt injection or data leakage.
• Data Exchange automates data & document secure intake or onboarding with checklists, consent capture, reminders, verification of identity and eSignature in one flow. Result: complete packs, fewer chasers.
• Fraud Check AI: First document agnostic fraud activity detection model designed to detect fraudulent activities in any document type, understand the specific document category and subsequently execute automatic fraudulent checking rules designed for the specific document type.
• Categorise AI auto-splits, categorises and tags mixed files into the right document types and structures. Therefore, reviewers start organised.
• Extract AI turns structured and unstructured files into field-level records your systems can use.
• Cross-Check AI fully customisable, capable of cross-checking, validating, calculating, context cross-referencing, image and document structure comparison, and more, across multiple data sets.
• Redact AI offers keyword redaction, regular expression redaction, and automatic detection and redaction of sensitive content, such as PII and BII. It also provides percentage redaction, key context redaction and detection, dynamic query redaction, and redaction of audio and video files.
• AI Agent Marketplace orchestrates the hand-offs with policy controls, audit trails, and rollback, so agents execute steps inside your governance.
• And 70+ AI mircoservices

Bottom line: simplify intake, structure data, verify early, and share safely. Then let agents execute under policy. That is how AI readiness turns into secure deployment and measurable ROI.

Ready to move from pilots to production?

Book a 30-minute use-case session.

About DoxAI

DoxAI is your trusted process automation partner, enabling to transition from outdated systems to cutting-edge AI technology. Our platform streamlines the collection, management, processing, and storage of data, enhancing security, reducing operational costs, and boosting customer engagement. DoxAI empowers providers to automate and secure every step of their data and document handling processes. Our suite of products supports end-to-end workflows, from intake to archiving, ensuring privacy, compliance and faster service delivery.

Security at Scale

In addition, we enforce strict security measures, including encryption at rest and in transit, robust access controls, and multi-factor authentication. As a SOC2 Type 2, HIPPA, GDPR and PCI DSS certified organisation, we undergo regular audits and penetration tests to maintain top-tier data protection. We deliver a scalable cloud-based infrastructure that supports your business growth without compromising performance. Our service-oriented architecture automates expansion, and we store data locally to meet sovereignty and regulatory requirements.

Our solutions are agnostic to the medium and easy to integrate into existing workflows or legacy systems via iFrame or API in less than a week.

The problem behind the problem

First, most pilots sit outside real workflows. Consequently, they never touch systems of record, approvals, or metrics. As a result, the demos look good, yet nothing moves your P&L.

Secondly, data is messy at the door. Intake is ad-hoc. Files are incomplete. Content is unstructured. Therefore, teams tune models on top of brittle inputs and get brittle outcomes. MIT Sloan’s recent guidance echoes this: focus on data foundations and unstructured data flows if you want compounding value.

Thirdly, evidence is missing. Boards now expect logs, policy gates, and reversible change. However, many proofs-of-concept skip governance and stall at audit.

A 90-day production play (not another pilot)

Weeks 1–3 — Pick one weekly workflow.
Choose something with a clear owner and measurable value (time saved, error rate, cycle time). Map inputs, approvals, and “definition of done”.

Weeks 4–8 — Engineer the data path first.
Standardise collection → classify documents → extract key fields → cross-check totals and identifiers → redact for safe sharing. Then, and only then, add an agent to push the work to the next step.

Weeks 9–12 — Prove, template, scale.
Publish the before/after metrics. Document the controls. Template the build. Line up the next two use cases.

This play addresses the “learning gap” MIT flags between promising demos and enterprise outcomes.

How DoxAI reduces failure risk

To move fast and stay compliant you need productised plumbing that teams can trust.

• Data Exchange automates data & document secure intake or onboarding with checklists, consent capture, reminders, verification of identity and eSignature in one flow. Result: complete packs, fewer chasers.
• Fraud Check AI: First document agnostic fraud activity detection model designed to detect fraudulent activities in any document type, understand the specific document category and subsequently execute automatic fraudulent checking rules designed for the specific document type.
• Categorise AI auto-splits, categorises and tags mixed files into the right document types and structures. Therefore, reviewers start organised.
• Extract AI turns structured and unstructured files into field-level records your systems can use.
• Cross-Check AI fully customisable, capable of cross-checking, validating, calculating, context cross-referencing, image and document structure comparison, and more, across multiple data sets.
• Redact AI offers keyword redaction, regular expression redaction, and automatic detection and redaction of sensitive content, such as PII and BII. It also provides percentage redaction, key context redaction and detection, dynamic query redaction, and redaction of audio and video files.
• AI Agent Marketplace orchestrates the hand-offs with policy controls, audit trails, and rollback, so agents execute steps inside your governance.
• And 70+ AI mircoservices

Tie these steps together and you convert pilots into production in weeks, not quarters. In brief, you attack the three causes of failure: integration, data quality, and evidence.

Customer Testimonial

Who should act first

• Finance & lending: onboarding, data & document collection, data redaction, data extraction, data cross validation, esigning, verification packs, reconciliations.
• Legal & professional services: legal review, esigning, ewitnessing, data redaction, matter assembly, disclosure bundles, eWitnessing.
• Healthcare: onboarding, form filling, hr, extraction of lab reports, recording, transcription, summarisation and more.
• Education: student verification, student onboarding, student data and document collection, student reports, visa verification, identity verification, automated document assessment and privacy by design.
• Government: data and document collection, automated redaction, sovereign hosting, strict access, and tamper-evident records.
• And much more

Bottom line

Pilots don’t fail because GenAI is hype. They fail because workflows, data, and governance are missing and that is where DoxAI helps you. Start with one weekly process. Engineer the data path. Then scale with components that already meet audit needs. MIT’s warning is clear; the fix is practical.

Ready to move from pilots to production?
Book a 30-minute use-case design session. We’ll map Data Exchange → Fraud Check AI → Categorise AI → Extract AI → Cross-Check AI → Redact AI → AI Agent Marketplace end to end so your next AI project lands in the successful 5%.

About DoxAI

DoxAI is your trusted process automation partner, enabling to transition from outdated systems to cutting-edge AI technology. Our platform streamlines the collection, management, processing, and storage of data, enhancing security, reducing operational costs, and boosting customer engagement. DoxAI empowers providers to automate and secure every step of their data and document handling processes. Our suite of products supports end-to-end workflows, from intake to archiving, ensuring privacy, compliance and faster service delivery.

Security at Scale

In addition, we enforce strict security measures, including encryption at rest and in transit, robust access controls, and multi-factor authentication. As a SOC2 Type 2, HIPPA, GDPR and PCI DSS certified organisation, we undergo regular audits and penetration tests to maintain top-tier data protection. We deliver a scalable cloud-based infrastructure that supports your business growth without compromising performance. Our service-oriented architecture automates expansion, and we store data locally to meet sovereignty and regulatory requirements.

Our solutions are agnostic to the medium and easy to integrate into existing workflows or legacy systems via iFrame or API in less than a week.

According to the Australian Government’s recent update on AI adoption in business, nearly two-thirds of medium to large Australian businesses are now using AI. That’s a huge step forward.  

Let’s break it down. 

AI Adoption 

Source: Australian Government 

But what does this really mean for the future business in Australia? 

Data shows that more small and medium sized businesses in Australia are embracing AI. In fact, 40% of SMEs are now using AI up 5% from last quarter. Even the smallest businesses are getting involved, with adoption jumping from 25% to 34%. Business owners are starting to see the benefits. AI can save time, reduce errors, and efficient. At the same time, fewer businesses are saying they don’t understand AI or don’t plan to use it. But challenges remain like lack of time, funding, and technical skills.  

1. For business already adopting AI 

Australia is leading the charge in AI adoption, with over 60% of medium to large businesses applied AI, according to the latest government report. But adoption is just the first step. Many businesses still rely on manual work for core processes. 

2. For business not aware of how to use AI 

You have heard about AI. You know its growing. But how does it apply to your business? According to the government’s Q4 report, many businesses are interested in AI but feel unsure about how to begin, mainly due to the complexity, expensive and out of reach for some. 

3. For business not planning to adopt AI   

While AI adoption is growing across Australia, many SMEs still haven’t taken the leap. The recent report shows that some businesses feel AI is too complex, expensive, and not relevant. But the reality is, not using AI could mean missing out on valuable time, money, and competitive advantage. 

AI Adoption varies across industries 

Source: Australian Government 

Recent data shows that the AI adoption in Australia is growing, but the rate varies quite a bit across industries. Retail trade leads the way, with 45% of businesses now using AI. A rise of 8%. Construction is also picking up, with adoption growing to 34%. Agriculture, forestry, and fishing saw the biggest jump, up 21% to 32%. 

On the other hand, industries like health and education, hospitality, and manufacturing have seen AI use slow down a little. 

Top 5 AI applications for businesses in Australia 

More businesses in Australia are turning to AI to improve how they work. According to the latest data, the top five ways companies are using AI today include: 

It is very important to note the fact that organisations want true value out of Artificial Intelligence and Agents in their day to day lives. Australian organisations struggle to find a provider who can create these tailored needs from an end-to-end perspective and have the data sovereignty at the same time within the organisation’s ecosystem. 
 
This is where DoxAI steps in. DoxAI have time and again proven to be a unique AI driven solutions provider who can create tailored and custom solutions to accelerate and automate workflows and processes while maintaining data sovereignty in a robust ecosystem. It follows an agnostic and modular approach that ensures scalability and security at every stage. 

Top 5 AI applications for businesses in Australia 

DoxAI is a process automation partner, enabling businesses to seamlessly transition from outdated systems to cutting edge AI technology solutions. The platform streamlines the collection, management, processing, and storage of data, enhancing security, reducing operational costs, and boosting customer engagement. Click here to check our product suite and 70+ AI micro services. 

The solutions from DoxAI were made to help reduce human error, processing times, operating costs, manual process, and complex integrations. If you are looking to improve your ROI, compliance & automation your workflows, be sure not to look elsewhere. We already are providing these solutions and services to 6,902+ Brokers and more than 56 Lenders in Australia. All industries can benefit from our services is finance, legal, healthcare, professional services, education and more.  

DoxAI recently introduced AI Agent Marketplace: a secure, self-service platform enabling enterprises to build, anonymise, and deploy custom AI agents via API. An offering unmatched in the market, the Agent Marketplace builds a strong foundation for an ecosystem for businesses delivering an end-to-end process automation, AI Agents, and compliance maintaining data sovereignty and security – all customised and tailored to their needs. Learn more.

 
What’s next for Australia and AI? 

Australia’s growing interest in AI shows a clear shift, businesses are ready to work smarter, not harder. At DoxAI, we are helping shape a future where AI works for everyone in every industry.  

So why wait? Let’s have a chat – Book me a free demo

About DoxAI

DoxAI is your trusted process automation partner, enabling to transition from outdated systems to cutting-edge AI technology. Our platform streamlines the collection, management, processing, and storage of data, enhancing security, reducing operational costs, and boosting customer engagement. DoxAI empowers providers to automate and secure every step of their data and document handling processes. Our suite of products supports end-to-end workflows, from intake to archiving, ensuring privacy, compliance and faster service delivery.

Security at Scale

In addition, we enforce strict security measures, including encryption at rest and in transit, robust access controls, and multi-factor authentication. As a SOC2 Type 2, HIPPA, GDPR and PCI DSS certified organisation, we undergo regular audits and penetration tests to maintain top-tier data protection. We deliver a scalable cloud-based infrastructure that supports your business growth without compromising performance. Our service-oriented architecture automates expansion, and we store data locally to meet sovereignty and regulatory requirements.

Our solutions are agnostic to the medium and easy to integrate into existing workflows or legacy systems via iFrame or API in less than a week.

Data redaction is the process of permanently removing or obscuring sensitive information from documents before they are shared or stored. It protects privacy, ensures compliance, and prevents breaches across financial records, legal files, healthcare documents, and government communications. Traditional manual methods simply cannot keep up in today’s data-rich world.

The Hidden Cost of Manual Redaction

Manual redaction is tedious, inefficient, and risky. Financial teams waste hours each week blacking out PDFs, spreadsheets, scanned invoices, and reports.

Common tools used for data & document redaction are unreliable. When staff ask, “How do I redact a PDF?” they often revert to free or outdated software. These tools can leave metadata intact, fail to fully obscure text/information, or allow redacted content to be reversed. Many also cannot process scanned documents or handle formats like images, audio, or video. These gaps present critical compliance and reputational risks. Cheap alternatives that offer to remove redaction from PDF online for free often compromise security and accuracy.

AI Powered Redaction Requirements Are Growing

Australian financial services must comply with the TFN Rule under the Privacy Act, which mandates secure handling of Tax File Numbers (TFNs). TFNs must be redacted from payslips, bank statements, application forms and any document that may contain sensitive information before sharing or storage. Other sectors like healthcare, legal, education, government face similar demands. Legacy tools can no longer scale. And that is why a new solution is required that can bring efficiency and productivity for teams. As a result, reducing operational costs and human error.

The Shift to AI Powered Redaction

DoxAI’s Redact AI is built for this new reality. It’s an advanced AI data & document redaction tool that automatically detects and removes sensitive content from PDFs, Word, Excel, text files, databases, vector databases, images, audio, and video. Powered by best-in-class OCR, context analysis and machine learning, Redact AI permanently removes data with no residual metadata. Unlike free options like pdf online redactors, DoxAI ensures irreversible redaction. It also handles unstructured data, including scanned and handwritten documents, text and audio files, that other tools fail to recognise.

Designed for Finance, Trusted Across Industries

Finance teams use Redact AI to automate redaction of:

• TFNs from payslips

• Personal details from loan files

• Bank account data in invoices

• Obscuring visuals using blur PDF options

• Credit card details removal from financial documents

• And more

DoxAI is also built for healthcare, legal services, government records, education and more, fitting into any AI workflow automation within a week.

Security, Certified to Global Standards

DoxAI is compliant with:

• SOC 2 Type 2
• ISO 27001
• GDPR
• HIPAA
• PCI DSS

Why Redact AI Is Leading the Market

Redact AI offers:

• Instant, bulk PDF document redaction

• Permanent redacted text

• Support for images, audio, video, and scanned documents

• Simple redact PDF online interface

• Ability to redact on a PDF or entire folders

• A future-proof automated document redaction tool

• Competitive alternative to outdated pdf redacter tools

• Bulk processing via redact PDF document and redact PDF pipelines

• Fully context based redaction

• And more

A Smarter Way Forward

Redact AI helps teams reclaim time. Furthermore, organisations reduce manual workloads, shifting staff from administration to analysis, while minimising compliance risks in a complex regulatory landscape.

Get Started with Redact AI that delivers 100% Compliance, 80% Cost Savings & 99.97% Accuracy!

Click 👉 here

FAQs

What is data redaction?

The permanent removal or masking of sensitive content from files and documents to protect privacy and comply with laws using a document redaction tool.

How do I redact a PDF?

Upload your document to Redact AI and watch as it automatically finds and redacts personal data even in scanned or handwritten files.

How many documents can I redact at a time?

While others stop at 20, we go beyond. You can redact over 200 documents at 2000 pages per document in one go, effortlessly and accurately with Redact AI!

Which file formats can you extract documents with Redact AI?

Redact AI can extract data from multi-file formats. You can extract from multi-file formats such as XML, XLS, DOC, PDF, PNG, JPG, MP3, WAV, JPEG, MP4 and more.

What security measures does Redact AI implement?

Redact AI is SOC2 Type 2 certified, ensuring data security and compliance with regulatory requirements. Verification takes place in a secure environment.

How long does it take to redact a 30 page document?

Literally under 15 seconds! Drag, drop and redact with a breeze with Redact AI

What compliance standards are met?

SOC 2, ISO 27001, GDPR, HIPAA, and PCI DSS.

Can it redact TFNs and bank info?

Yes, it is designed for finance teams to redact TFNs, bank details, personal identifiers and more. Our AI powered Redaction tool comes with more than 50+ built in templates, out-of-box, and custom templates ready for implementation.

Is it truly irreversible?

Absolutely. Once redacted, content cannot be recovered. Unlike tools that offer to remove redaction from PDF online for free, ours is final.

Which industries can benefit from Redact AI’s redaction service?

Extract AI’s services are beneficial for a wide range of industries including Banking, Finance, Real Estate, Health, Tourism, SaaS (Software as a Service), Professional Services, Academia, Government, Security, Crypto, Shared Economy, and more.

Can I redact PDFs online?

Yes, you can redact PDF online via our secure DoxAI portal and disregard the unsecure pdf online redactor tools. Best thing about our platform is that you can drag and drop any files to be redacted in seconds.

Does it integrate easily?

Yes, Redact AI can integrate easily with your existing workflow wiht API, UI or iFrame in under a week.

What is a PDF redacter?

It’s a tool to redact PDF documents. Redact AI is the most advanced AI powered PDF redacter available and is far more secure than browser-based options

Traditional physical vehicle inspections encompass around delays, hidden costs and human error. Lenders or dealerships must dispatch an inspector, who often waits for vendors to turn up. Consequently, they sometimes discover unadvertised damage or incomplete documentation. That inspector then returns to the office and files a report manually costing him time and valuable energy. Hours of travel, fees for site visits and the risk of misinformation, all add up slowing approvals and frustrating customers. What ought to be 30 minutes to an hour inspection, turns into 4-5 business days of chaotic approval process. So, we need to ask ourselves a question. Why are we still doing manual inspections when readily available platforms exist? These solutions expedite approvals, reduce costs, increase time efficiency and maintain compliance. We have an answer to this problem! 

How does digital asset inspection solve the problem? 

Digital Asset Verification from DoxAI is an effective and simplified solution to physical and manual inspections. Asset Verification lets you verify any asset & vendors instantly with a digital, smart and user friendly inspection platform. You can verify assets like vehicles, equipment and collectibles, capturing high resolution photos, videos, documents and ownership details. Buyers and financiers can validate vendors, confirm ownership and check incumbency. It is built with security, accuracy and scalability in mind. 

How Asset Verification works?

In just a few clicks, lenders request vendor ID and document checks. Vendors upload photos, 360° videos and relevant paperwork, guided by intuitive on screen prompts and even audio instruction. Inspectors review submissions in real time, accepting, rejecting or requesting additional evidence on the spot. Remote sellers today, whether in the outback or overseas, no longer force verifiers into costly site visits. As a result, organisations avoid trips for deals that may not be viable.

Why Asset Verification is Australia’s #1 Asset Verification Platform? 

DoxAI’s AI enhanced Asset Verification platform sets the benchmark in Australia. It is trusted by 6,902 brokers and 42 lenders, with over 630,000 verifications completed. As Australia’s original digital asset verification solution, we go above and beyond to deliver unrivalled speed, accuracy and user experience. Security and trust begin with our ID verification, which performs comprehensive VOI checks against government DVS databases. It also uses biometric face recognition and liveness tests in seconds. These measures meet ARNECC’s reasonable steps standard and block fraudulent submissions. Extensive compliance follows through detailed PPSR reporting, confirming security interests, theft records and write off status. It also includes full vehicle specifications, from make and model to engine number and body type. 

Our new and enhanced AI powered features fraud detection flags doctored images, documents and suspicious metadata instantly. Additionally, real time image validation checks for blur, lighting and angles before upload. Audio guided inspections ensure vendors follow each step correctly, even in remote locations. 

Enhanced efficiency is delivered via automated private sale invoices with built in digital eSignatures, removing manual form filling. Further more DoxAI’s Asset Verification is backed by consistent templates, automated data entry and accurate data capture. It also features tamper evident PDF certification and seamless integration via API, iFrame and UI. Thus, DoxAI remains the number one Asset Verification platform in Australia. It continually innovates to protect and provide the ultimate customer experience to lenders and brokers. Click here to see extended features, benefits and use cases of Asset Verification. 

A good customer success story goes a long way! How Asset Verification helped a prominent Aussie Broker fast track their loan approvals

Moneytech switched to DoxAI Asset Verification after repeated platform crashes, security block issues and image recognition failures with other solutions. They found DoxAI’s Asset Verification (formerly Verimoto) far more reliable and user friendly, eliminating the frustration brokers and customers felt during what should be a straightforward inspection.  

Since implementation, inspectors save considerable time: every report now automatically includes vendor ID, registration papers, payout letters and bank account proof, accelerating settlements and delivering assets to customers faster.  

The “Bypass” feature was monumental for Moneytech, allowing internal teams to accept or reject uploads using common sense streamlining workflows by avoiding unnecessary follow-ups.  

 “The DoxAI team have been wonderful to deal with. Incredibly responsive and helpful. No task is ever too much to ask. 10 out of 10”, said Mahalia Fagan, Business Development Manager, Moneytech. 

DoxAI’s AI powered online Asset Verification is built for modern workflows, eradicating the guesswork and bringing accuracy, time efficiency and cost reduction.  

Ready to see how it works? Book a friendly chat with our specialist team today! 

A common issue across industries is extracting key data accurately from online documents, printed paper or images. Let’s consider banks. Each day, bankers pull data such as pay frequency from payslips or customer and bank details from invoices. They do this to validate customer and bank details to ensure accuracy.

In addition, lending involves processing thousands of documents every day. Therefore, human error is inevitable. Furthermore, lengthy copy-and-paste tasks delay approvals and drive inefficiency.

Therefore, we must examine document types and the specific data they contain. This highlights structured and unstructured data as the two file types vital to finance, legal, professional and healthcare sectors.

What is Unstructured Data? Understanding its Implications and Opportunities 

Unstructured data makes up over 80% of all data within many organisations today (TechRepublic, 2024). This file type of data includes everything from customer emails and social media content to video and audio files. It also covers text files, content-based documents, images and more. Unlike structured data, which fits neatly into rows and columns, unstructured data requires advanced data analytics to unlock its value. With effective data management, companies can gain unprecedented insights, giving them a strategic edge in today’s data-driven world.

Types of unstructured data

What Makes Unstructured Data Different? 

Unstructured data doesn’t conform to traditional relational database management systems (RDBMS), as it lacks a predictable format. Instead, it often appears as text-heavy documents, images, audio, or videos. In fact, research shows that businesses with advanced data analytics frameworks can see 10-15% higher productivity (McKinsey, 2023). By employing data modeling and advanced algorithms, companies can process unstructured data and extract actionable insights. 

The Challenges of Managing Unstructured Data 

Without the traditional structure, unstructured data requires innovative storage and management solutions. Conventional data storage formats often struggle with the variety and scale of unstructured data. This challenge necessitates data lakes or similar flexible storage systems for effective database management (Forbes, 2023). Data normalisation, database structure planning, and flexible database storage are key techniques that help streamline data to data transformations. 

What are structured documents? 

Structure documents are documents that follow an organised pattern such as reports, agreements, or other records. The most vital key components of this type of document include how it is formatted for clarity and compliance. Examples include – profit and loss statements, balance sheets, invoices, pay slips, reports, account statements, loan applications, and more. Proper structure ensures accurate information, facilitates analysis, and supports informed decision-making.

How Can You Extract Structured or Unstructured Data and Turn it into Value 

The answer is simple – Extract AI.

Extract AI is an AI-driven solution that can extract data from structured or unstructured documents in seconds. Also, this solution tackles the persistent challenges of manual data extraction. Consequently, it saves financial institutions time, increases accuracy and reduces costly human errors. Our adaptive models extract structured and unstructured data without relying on document layouts, handling diverse formats and layouts automatically. Simply drag and drop your files onto the Extract AI platform. Then, extract thousands of documents and capture your key data in seconds. 

Whether you need data from pay slips, mortgage deeds, bank statements or invoices, our OCR technology has you covered. It detects multiple fonts, calligraphy, handwriting and more.Extract AI can accurately extract key data from PDFs, JPGs, PNGs and TXTs. It also handles XLSX, DOCX, MP3, MOV, MP4 and other formats.

Extract AI’s model can extract specific phrases with context relation, keywords or phrases from files or key values. The speed of our automated data extraction boosts customer response times by up to 40x with no extra training needed. DoxAI’s custom-built extraction models are tailored to your business requirements, delivering the ROI you deserve by turning data into actionable insights with precision and ease. The out-of-the-box solution includes white-labelling options and more than 150 ready-to-use templates for finance, legal, education and healthcare. You can also add your own template in just a few clicks.  

What are the Business Benefits of using DoxAI Extract AI?

*Note that the benefits listed above are based on current client outcomes and may vary depending on your specific use case.

Case Study of a Leading Non-Bank Automotive Lender

Get in Touch with Our Team

No waitlist. No long onboarding. Start using the new DoxAI Extract AI features today.

References 

Forbes (2023). The Future of Data Lakes and Unstructured Data Management. Available at:
https://lakehouse.app/article/The_Future_of_Data_Lake_Trends_and_Predictions.html

Gartner (2022). Customer Satisfaction and Data Analytics. Available at:
https://www.gartner.com/en/marketing/topics/customer-experience

McKinsey (2023). Boosting Productivity with Advanced Data Analytics. Available at:
https://www.ibm.com/blog/unstructured-data-trends/

TechRepublic (2024). Understanding the Rise of Unstructured Data in Business. Available at:
https://www.datacenterknowledge.com/data-storage/data-lakes-unlocked-divisive-data-architecture-fuels-advanced-ai-analytics

TechTarget (2024). Revenue Growth and Data Analysis in Modern Enterprises. Available at:
https://ibagroupit.com/insights/data-lakehouses-vs-warehouses-and-lakes/

A digital, smart and user-friendly inspection platform to verify assets like vehicles, equipment and collectibles, capturing high-res photos, videos, documents and ownership details. Buyers and financiers can validate vendors, confirm ownership and check incumbency. To get a deep dive on Asset Verification’s key functionalities, features, benefits and use cases visit this page. 

Background & Context 

When we launched Asset Verification (previously known as Verimoto) late November 2018, we set the standard for a frictionless, fast and online digital asset verification process for the market. Fast forward to June 2025, we remain the only platform continuously evolving to deliver faster asset inspections and vendor verification in just minutes.

Our inspection engine is used by leading lenders and brokers who want speed and accuracy without the admin drag. This feature release reinforces why Asset Verification remains the top choice in the market, because we build for what lenders actually need. 

Trusted. Faster. Smarter.

From day one, DoxAI has led the industry in online asset inspections, helping lenders and brokers cut delays, reduce fraud, and fast-track approvals. Today, we are rolling out our biggest feature release yet focusing on control, clarity, and confidence at every step of the lending process. 

4 – New Features are Now Live

1- Built-in Digital Report Certification

Every final PDF report is now sealed and certified with a DoxAl digital esignature. If tampered with, the digital signature will be automatically removed exposing any unauthorised edits bringing stronger protection, trust, and transparency.

Benefits:

• Ensure document authenticity and compliance
• Instantly detect unauthorised edits 
• Build trust with secure, tamper-evident reports

2- ️ AI-Powered Fraud Detection

The enhanced fraud module performs real-time scanning of every uploaded document and image to identify tampering, inconsistencies, and digital manipulation. It is capable of detecting altered images, documents, deepfakes, known fraudsters, and datasets previously associated with fraudulent activities.

Benefits:

• Prevent fraudulent asset submissions
• Minimise compliance risks
• Stay ahead of regulators and threats

3- ️ Real-Time Image Validation (AI)

Our AI checks every photo the moment it’s taken detecting: blur, angle, lighting and missing details in the application and the seller is prompted to retake it on the spot. 

Benefits:

• Reduce rework and double handling 
• Fewer rejected submissions 
• Less back-and-forth with clients

4- ️ ️ Audio-Guided Inspections

Not everyone reads instructions, so we made them audible. Every step is now voiced with clear, human-like instructions to help sellers complete inspections confidently and correctly. 

Benefits:

• Faster, smoother experiences for sellers 
• No more incomplete submissions
• Fewer manual follow-ups for brokers and admins

Coming Soon

Live Asset Valuation

Instant market benchmarking will be coming up shortly with our next feature release.

What is Live Asset Valuation?

When a seller uploads asset details, we run real-time comparisons to validate whether the requested loan matches current market value.

Benefits:

• Smarter decisions
• Greater pricing transparency
• Faster approvals

Compliance, Security & Integrations 

• SOC 2, ISO 27001 Certified, GDPR Compliant
• Deployable via API, iFrame, or Web Portal
• Full audit logs + encryption by default
• Custom branding and notifications supported
• Australian data residency

Who’s This For?

• Non-bank lenders
• Brokers & aggregators
• Equipment and asset finance providers
• Digital loan platforms
• Auto, property, and commercial finance teams
• Fleet management, leasing, and car rental services
• And more

Get in Touch with Our Team

No waitlist. No long onboarding. Start using the new DoxAI Asset Verification features today.

Every year, Australian accounting teams brace for the tax season rush. For mid and large firms, this period means mountains of paperwork, endless document chasing, and frantic client follow-ups. These manual, paper-based workflows are tedious and undermines productivity and accuracy across the board. Recent Australian figures underscore the pain points: 

• Manual paperwork & data entry overload: Tax accountants spend nearly one-third of their workday chasing missing data or documents from clients. Reading through emails, scanning forms, and re-keying data consumes time that could be spent on higher-value tasks. Studies find that roughly 45% of employees’ time is spent on manual tasks that automation could handle depicting a massive operational inefficiency.  

• Inefficient client communication: Important client documents often trickle in through ad-hoc emails and last-minute phone calls. Almost 40% of firms report inefficient or manual processes as a key challenge and 69% of accountants say they waste too much time just gathering documents from clients. This disjointed communication leads to delays, duplicate requests, and frustrated clients. 

• Delayed processing & missed deadlines: When staff are stuck emailing reminders or shuffling paper files, critical work gets pushed back. Tasks that should take minutes drag into days. During Australia’s busy tax time, such delays can jeopardise lodgement deadlines and strain client relationships. (For instance, the ATO processes most electronic tax returns in 2 weeks, but paper returns can take up to 10 weeks showcasing, yet again, how manual methods slow everything down. 

• Errors and compliance risks: Manual data entry is error-prone and little as 1% error rate can have serious consequences. A typo in financial data or a missing form can snowball into misreported figures, regulatory breaches, or penalties leading to reworking on the files, legal penalties or reputation damage. With compliance obligations in Australia stricter than ever, relying on humans to flawlessly handle hundreds of documents is a risky bet. 

It is a no brainer, that overworked accounting professionals feel the strain.  

The result? Long hours, stressed teams, and potential errors creeping into financial data. Busy season firefighting has become the norm, but it does not have to stay this way. 

Smarter AI Solutions for Tax Accountants: How DoxAI Automates Tax Workflows

Accounting firms are turning to automation and AI to escape the manual grind. DoxAI’s suite of tools is designed to take the busywork out of tax season and let accounting professionals focus on what really matters.  

Here is how DoxAI’s AI-driven platform tackles the pain points head-on: 

• Seamless Data & Document Collection with Clients (Data Exchange & eSignature): Data Exchange is a secure exchange platform that enables end-to-end automation for collecting, managing, and sharing sensitive data and documents. And with DoxAI’s integrated eSignature, obtaining legally binding signatures on tax forms or engagement letters is fast and hassle-free. Clients can e-sign documents on any device in seconds. The result is a streamlined document exchange process that cuts turnaround times dramatically and keeps everyone on the same page. 
   
  Data Exchange Use Case for Accountants: 
   
  When inboxes are jammed with ad-hoc emails and half-filled Dropbox links, Data Exchange gives accountants a single, automated, bank-grade document request and collection solution where every client sees a personalised checklist, drags-and-drops their files, and signs engagement letters in the same session. Automatic reminders chase your customers’ document uploads for you, while a live dashboard shows what is still missing so you can spot bottlenecks early instead of the night before lodgement. All documents land in the right tax-year folder with an immutable audit trail and two-factor protection, slashing the time your team spends hunting attachments, renaming PDFs and worrying about privacy breaches. In short, Data Exchange turns chaotic document collection into a streamlined, self-service experience that keeps work moving even at the height of busy season.

• Automated Data Entry and Classification (Categorise AI): Categorise AI automatically classifies and organises incoming documents. It “reads” each file’s content and context to determine the document type and appropriate category. 
  
  Categorise AI Use Case Tax Accountants: 
  
  During the busiest weeks of tax season, accountants are flooded with client PDFs that often bundle bank statements, invoices, receipts and engagement letters into a single file. Categorise AI instantly ingests those uploads, splits multipage documents into their individual components, then auto-classifies each page (e.g., “PAYG summary,” “super statement,” “trust distribution,” “ABN registration”) and routes it to the right tax-year folder in your practice-management system. By removing the need to open every attachment, rename files and drag-and-drop them into sub-folders, the tool eliminates hours of low-value sorting work, surfaces missing documents in real time, and provides a searchable audit trail your reviewers can trust. The result is faster file preparation, fewer mis-filed statements, and more time for advisory conversations.

• Automated Extraction of data from documents (Extract AI): 
  
  A powerful data extraction solution that leverages advanced artificial intelligence and machine learning to accurately extract and classify data from various file types. It supports both structured and unstructured documents, with the options of templated and dynamic query extraction. The solution also adapts to evolving data formats, making it highly scalable for growing businesses. It can integrate into existing workflows, enhancing efficiency and reducing manual data processing errors. You can extract from multi-file formats such as XML, XLS, DOC, PDF, PNG, JPG, MP3, WAV, JPEG, MP4 and more.
  
  Extract AI Use Case:
  
  During peak tax-season, tax accountants require to pull out key data from sensitive documents such as ABNs, TFNs, dates, GST amounts, totals directly from even the payslips, receipts or scanned statements with 99.975% accuracy. It then pushes that clean and accurate structured data straight into your practice-management or ledger system, automatically flagging out-of-range figures and missing values so errors are caught before lodgement. The extracted output can be viewed in JSON, txt, or excel file format. In short, Extract AI converts mountains of raw paperwork into ready-to-use data, giving accountants the speed and confidence they crave when the ATO clock is ticking. Want to learn more? Click the link below. 

• Ensuring Accuracy and Compliance (Cross-Check AI): 
  
  Cross-Check AI is an advanced artificial intelligence and machine learning tool that can validate, cross-check, identify and resolve data discrepancies, inconsistencies, and errors within multiple datasets such as documents, databases, and audio files.
  
  Cross-Check AI Use Case for Accountants:
  
  When the ATO clock is ticking and every minute of reviewer time matters, Cross Check AI becomes your turbo-charged quality-control layer. As soon as Extract AI drops structured data into your workflow, Cross Check AI instantly validates totals, GST calculations, ABNs, TFNs and date ranges across all supporting documents, compares them with prior-year figures, and flags any outliers or missing fields for human review. It even reconciles payroll reports against bank transactions and super statements, producing a clear pass/fail dashboard and an exportable exception report your senior accountants can sign off in seconds. By automating the most time-consuming part of review with a line-by-line comparison, Cross Check AI cuts down hefty final-review hours, prevents costly misstatements, and lets your team file with confidence before lodgement deadlines hit.

• Automated AI Redaction to hide customer sensitive data (Redact AI): Redact AI is an advanced redaction solution that leverages artificial intelligence and machine learning to automate the process of identifying personal identifiable information and sensitive information from documents, text, audio with unparalleled accuracy and efficiency. Supporting all file types, including XML, XLS, DOC, PDF, PNG, JPG, MP3, WAV, JPEG, MP4 and more. 
  
  Redact AI Use Case for Accountants:
  
  Redact AI automates the compliance and privacy step for accountants by automatically redacting sensitive customer data such as Tax File Numbers, ABNs, addresses, dates of birth and any custom identifiers you specify, then stores an immutable audit log of each redaction for audit purposes. This process keeps your practice in line with the Privacy Act and ATO confidentiality guidelines, removes the risk of accidental disclosure, and frees staff from a repetitive task at the point when reviewer time is most constrained. Choose from 50+ pre-built redaction templates and create your own customised ones. 

DoxAI automates each step of a tax accountant’s workflow process, drastically cutting the time spent on admin and reducing the opportunity for human error.  

A Better Busy Season: Efficiency Gains and Real-world Impact 

Implementing an AI-driven workflow delivers concrete business benefits. Firms that embrace these solutions see faster turnaround times, more accurate outputs, and happier clients.  

Request a personalised demo of DoxAI today and see how automated document exchange, AI and compliance solutions can transform your tax practice in minutes, say goodbye to weeks of manual work.

Data extraction is the process of capturing specific and relevant data from various sources such as structured or unstructured documents and converting it to an organised and standardised format for easy access, storage and analysis. The process requires a high level of accuracy as this data will be used to derive specific outcomes for businesses.  

Whether you’re a financial institution, healthcare provider, professional firm, or real estate business, extracting data from documents is essential for gaining insights that drive strategic growth. With accurate data extraction, you can future-proof your strategy, optimise decision-making, and support long-term success. 

What are the Current Challenges with Manual Extractions? 

Manual extractions take up more than 30% of an employee’s workday to manually extract data from documents. As a result of which high performing employees find it difficult to focus on what really matters. 

Another challenge facing a lot of businesses is the cost associated with manual extractions. Manual data extraction costs companies thousands of dollars per year. Businesses rely on outdated methods of extracting data from documents and still pay lump sums for it. What if you could save more than 90% of these costs? In this blog we will talk about how we can elevate your business with the perfect solution that leverages innovative cutting-edge technology for data extraction.

Suffering with Manual Extractions?

The Lengthy and Problematic method 

PDFs (Portable Document Formats) are known for maintaining consistent formatting across different devices. This makes them ideal for sharing, but difficult when you need to extract text or data. Data can be structured (tables, forms) or unstructured (paragraphs, scanned images), and both require different extraction methods. 

For basic needs, you might start with copy-pasting data from a PDF document, but this can be inefficient for larger files or more complex tasks.  

Many organisations have outsourced overseas teams to extract large volumes of documents often resulting in high levels of inaccuracy. This inefficiency can end up costing more than anticipated, undermining both quality and budget expectations. 

Some organisations extract customer sensitive data from documents by manually reading documents and writing them on excel sheets. Document after document, data after data—wasting valuable employee time and causing missed business opportunities. 

Recognising the ongoing challenges businesses face in manual data extraction, the need for a fully automated solution is clear. Automated tools can streamline data extraction, significantly improving accuracy and efficiency compared to traditional methods. 

Automate PDF and any File Formats to JSON, Text or Excel Conversion with Extract AI 

Extract AI is a powerful data extraction solution that leverages advanced artificial intelligence and machine learning to accurately extract and classify data from various file types. It supports both structured and unstructured documents, with the options of templated and dynamic query extraction.  

The solution also adapts to evolving data formats, making it highly scalable for growing businesses. It can integrate into existing workflows, enhancing efficiency and reducing manual data processing errors. 

Extract AI supports any file formats. You can extract from multi-file types like MSG, EML, XML, XLS, DOC, PDF, PNG, JPG, MP3, WAV, JPEG, MP4 and it offers dynamic on-query or template-based extraction.

Ever wanted to streamline your document operations with AI-automated extractions in seconds without manual entry and human-prone errors? Extract AI is the way to go!  

With Extract AI, you can start processing your documents instantly —no need to worry about complex setups or training. Just define the fields you need, and our AI takes care of the rest, extracting the data quickly and efficiently—no expertise required. 

Extract AI uses the best-in-class OCR technology to detect multiple calligraphy and handwriting. With advanced OCR capabilities, Extract AI is able to enhance the data extraction process and makes it perfect for extracting data from: 

• Legal documents
• Large number of file extraction 
• Healthcare records 
• Financial services documents 
• Payslips 
• Financial statements 
• Tax documents 
• Invoices, purchase orders 
• Bank statements 
• User manuals and guides 
• Application forms 
• Identity documents 
• Reports 
• And more 

Extract AI’s Custom Extraction Models 

DoxAI’s custom-built extraction models are tailored to your business requirements delivering the ROI you deserve turning data into actionable insights or automated workflows with precision and ease. A lot of providers just focus on a few templated extraction models that limit you to do your extractions efficiently.  

Automation and AI for Efficient Data Extraction 

Automating data extraction with Extract AI ensures that no manual intervention is needed. Handle any complex documents such as invoices, legal contracts, or medical records with Extract AI. Our solution allows you to request the model to extract specific phrases, keywords, or values from files, boosting customer response times, and operational processes by up to 40x—no extra training needed! 

Case Study of a Leading Non-Bank Automotive Lender

So Why Look Elsewhere?
Let’s Connect and Kickstart Your Automated Extraction Process Today!