Document AI
Document AI that reads, checks and routes every file.
We build intelligent document processing pipelines that turn invoices, KYC files, claims, contracts and emails into clean, validated data, with a citation and confidence score on every field and a review queue for anything uncertain.
Start a projectFrom paperwork to data
Most operations teams still retype numbers from PDFs, scans and email attachments. Document AI does the reading, business rules do the checking, and your people only see the exceptions. Work that took days becomes a review queue.
Overview
How intelligent document processing works
Intelligent document processing combines several steps. Documents arrive by email, upload, scanner or API and are classified by type. Layout-aware AI models extract the fields you need, from header values to complex tables, and attach a confidence score and a source location to each one. Business rules then validate the result: totals must add up, references must match open records, identifiers must be valid and nothing suspicious may have changed.
Clean documents flow straight into your ERP, core banking or claims system, while exceptions land in a review queue that shows exactly what needs attention. Reviewers correct and approve in seconds instead of retyping everything, and each correction improves the system. Because every value is traceable to its source and every action is logged, document AI also makes audits easier than manual processing.
What we build
Document AI and automation services
Accurate extraction is only half the job. We build the checks, routing and integrations that make the data trustworthy.
-
01
Invoice processing automation
Extract line items, totals, tax IDs and PO numbers, match against purchase orders and post to NetSuite, SAP, Tally or Zoho.
-
02
KYC and onboarding documents
Read IDs, bank statements and proofs, cross-check details and flag mismatches for compliance review.
-
03
Insurance claims intake
Classify and extract claim forms, estimates and reports, run policy checks and route to the right adjuster.
-
04
Contract analysis
Pull parties, dates, renewal terms and obligations, and flag risky clauses against your playbook.
-
05
Email and attachment triage
Classify incoming mail, extract the data from attachments and create the right record in your system.
-
06
Workflow automation
Connect the extracted data to approvals, ERP, CRM and notifications, with exception queues your team controls.
Process
How we automate document processing
Fixed fee per phase, a measured exit gate at the end of each, and working software from the first weeks. See every playbook week by week.
- 01
Sample and measure
Collect real documents, label a test set and time how long the current process takes.
Week 1
- 02
Extract and validate
Layout-aware extraction, confidence scores, citations and your business rules as automated checks.
Weeks 2 to 4
- 03
Integrate
Post clean data to your ERP or core system and route exceptions to a review queue.
Weeks 4 to 6
- 04
Hand over and monitor
Accuracy dashboards, drift alerts and a measured before-and-after time study.
Week 6 onward
Use cases
Documents we automate
Accounts payable
Supplier invoices, credit notes and statements, with three-way matching and fraud checks on changed bank details.
Lending and BFSI
Bank statements, salary slips, ITRs and GST returns for underwriting and credit memos.
Insurance
Claim forms, garage estimates, hospital bills and survey reports, triaged by severity.
Logistics and trade
Bills of lading, invoices, packing lists and customs documents across carriers and portals.
Healthcare
Referral letters, lab reports and discharge summaries summarised for clinicians.
Legal and procurement
NDAs, MSAs and vendor contracts reviewed against your standard positions.
- Every field links back to where it came from on the page, so reviewers can verify in one click.
- Confidence thresholds you control: certain fields go straight through, uncertain ones go to people.
- Business rules and fraud checks run on every document before anything is posted.
- Handwriting, scans, multi-page PDFs and mixed languages, including Indian document formats.
- Data stays in your cloud and region, with a full audit trail.
What we build with
Chosen for your problem, never for a partnership.
AI and data
- OpenAI
- Anthropic
- Google Gemini
- Llama and Mistral
- LangGraph
- pgvector
- Databricks
- Snowflake
Product
- TypeScript
- React
- Next.js
- React Native
- Flutter
- Python
- Go
- Node.js
- Postgres
Platform
- AWS
- Google Cloud
- Azure
- Kubernetes
- Terraform
- GitHub Actions
Questions
Frequently asked questions
Still unsure? Ask us directly, a senior engineer replies within one business day.
What is intelligent document processing?
Intelligent document processing (IDP) uses AI to classify documents, extract structured data, validate it against rules and route it into business systems, replacing manual data entry.
How accurate is document AI?
Accuracy depends on document quality and variety, so we measure it on a labelled sample of your real documents before you commit. Fields below your confidence threshold always go to a reviewer.
Does it work with scanned and handwritten documents?
Yes. We use layout-aware models that handle scans, photos, tables and handwriting, and we flag low-confidence fields for review.
Can it post data into our ERP?
Yes. We integrate with NetSuite, SAP, Microsoft Dynamics, Tally, Zoho and custom systems through their APIs, with exception queues for anything that fails validation.
How do you handle sensitive documents?
Processing runs in your cloud account and region, access is least-privilege, and every action is logged. We sign your DPA before any data is shared.
How quickly can we automate invoice processing?
Our plan for a first automated workflow is four to six weeks. Our guide on automating invoice processing with AI walks through the steps.
Do you offer intelligent document processing in India, including GST invoices and KYC?
Yes. We handle Indian formats such as GST invoices, e-way bills, bank statements, salary slips and KYC documents. More broadly we can automate invoices, purchase orders, receipts, insurance claims, contracts, shipping documents, medical reports and most structured or semi-structured business documents.
Do we need thousands of examples to start?
No. Modern models work well from a few hundred representative documents. We use a labelled sample mainly to measure accuracy and tune the validation rules.