Yes. Our models are designed for both structured forms and unstructured content such as reports, contracts, bank statements and narrative text, without relying purely on fixed layouts. This is critical for AI document processing and workflow automation across real world, messy data.

DoxAI is built for high volume enterprise workloads, with services that can process hundreds of documents and thousands of pages in a single run, and millions of pages per year across customers. It is engineered to support large scale process automation and business automation programs.

Accuracy depends on the use case, but our document extraction, redaction, cross check, fraud check and verification models are benchmarked at 99.97% accuracy on millions of pages, with continuous improvement via feedback loops and model tuning. This level of precision is essential for fraud detection, risk, compliance and other regulated AI automation use cases.

Yes. You can process documents in real time via API or user interface, or run bulk jobs for large backlogs and periodic workloads. This flexibility lets you embed DoxAI into both transactional workflow automation and large digital transformation initiatives.

Yes. Many solutions allow configuration of rules, templates and flows via no code or low code interfaces, while more advanced use cases can leverage APIs and orchestration tools. This makes it easier for operations, risk and compliance teams to own their process automation without constant engineering effort.

DoxAI aligns to enterprise grade frameworks including GDPR, PCI DSS, SOC 2 Type 2, ISO 27001 and HIPAA for relevant services, with regular external audits and penetration tests. That means your AI automation and workflow automation can meet stringent regulatory and governance requirements.

Data is hosted in secure cloud environments with options for data residency depending on region and solution. Specific locations, retention and access controls are defined during solution design so your digital transformation and AI projects align with internal policies and regulatory obligations

Customer data is not used to train shared models without consent. For many deployments, models are either pre trained or fine tuned under strict agreements, with options for private instances where needed. This approach balances AI innovation with privacy, compliance and cyber security.

Retention rules can be configured based on your policies. Some services support automatic data purging and short lived processing, so documents are removed once workflows are complete. This helps you align AI automation with records management, risk and regulatory requirements.

In many cases, DoxAI can support private cloud or dedicated environments for customers with strict regulatory or data sovereignty requirements. This is especially relevant for financial services, government and other sectors where cyber security, fraud prevention and data residency are critical.

Simple integrations can be completed in days or weeks using existing APIs and templates. Larger digital transformation programs with multiple systems and complex workflows usually follow a phased rollout to de risk change and prove ROI at each step.

Yes. Our fraud and verification solutions connect to government, business and financial registries (for example ABN and company registers), internal datasets, and global data sources used for AML, CTF, PEP and sanctions screening. DoxAI can cross check customers, entities and documents against international watchlists and sanctions lists, turning the platform into a powerful fraud detection, AML/CTF compliance and risk management layer across your ecosystem.

Yes. DoxAI can be orchestrated via tools such as Make and other workflow platforms, allowing teams to design end to end automation without heavy development. This accelerates delivery of AI powered workflows and makes process automation more accessible to business users.

Yes. Several solutions support white labelling and UI customisation so you can embed AI automation, document verification and fraud check capabilities into your own portals and customer experiences under your brand. This is ideal for SaaS providers and platforms looking to offer embedded AI powered features.