Extract fields from contracts, forms, invoices and IDs with AI, with citations, confidence flags and human review for anything uncertain.
The problem
Teams read documents line by line to copy the same fields into systems. It is slow, error-prone and impossible to scale with volume.
How it works
Fields extracted with citations, uncertain items flagged, and a reviewer in control.
- IngestDocuments arrive by email, upload or integration.
- ExtractAI reads the document and extracts the fields you define.
- ValidateValues are checked against rules and existing records.
- ReviewLow-confidence fields are highlighted for a person to confirm.
- PostApproved data is written to your system with an audit trail.
Where people stay in control
- Every value links back to where it was found
- Low-confidence fields require review
- Rules decide what can post automatically
What it connects to
How we deliver ai document processing
The same method as every AI Agents & Automation engagement: each stage ends with a decision you sign off. We work with teams in Bengaluru, across India and abroad.
We study the problem with the people who live it: workflow, customers, constraints.
Problem brief agreedWe agree what success means, what is in scope and the hypothesis we are testing.
Scope signed offFlows, interfaces and architecture, tested as a prototype before engineering starts.
Prototype approvedWorking software and artefacts, demonstrated every week.
Features acceptedRelease to real users with documentation, monitoring and a runbook.
Release acceptedWe measure what happened and turn it into the next roadmap.
Roadmap reviewedRelated insights
- What is an AI-native company?An AI-native company redesigns workflows, decisions, data access and software so AI is part of how the business runs. What it means, how it differs from adding AI tools, and how to start.
- What should an AI agent be allowed to do? A practical modelA practical permission model for AI agents: four levels of action from read-only to high-impact, how to enforce them in code rather than prompts, and how to design the handoff to people.
- The anatomy of a production AI agentKnowledge, tools, permissions, a provider abstraction, evaluation and observability: the parts that turn an AI demo into a production AI agent a business can rely on.
What documents can AI process?+
Most structured and semi-structured documents: invoices, purchase orders, contracts, application forms, statements and IDs. Handwritten or very poor scans need extra review.
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