Invoices, contracts, KYC — read by AI, posted to ERP.
Multi-engine AI OCR on GPT-4 Vision, Document AI, Form Recognizer, and Textract — extracted, validated, and pushed into Odoo / SAP / NetSuite with full audit trail.
95%+ accuracy on invoices, three-way match, PII-safe, compliance-aware (GDPR / HIPAA / DPDP). Real-time or batch.
Eight document AI categories we automate
From invoices to KYC — production-grade pipelines, not Jupyter notebooks.
Invoice & Vendor Bill Automation
Extract every line item, tax breakdown, GSTIN/VAT, and total from PDF or scanned invoices — three-way match against PO and goods receipt, post to ERP.
Contract Analysis & Redlining
AI reads contracts, extracts key clauses, flags risky terms, compares against your standard playbook, and surfaces only what needs lawyer review.
KYC & Identity Document Extraction
Aadhaar, PAN, passport, driving licence, utility bill — extract structured fields, verify authenticity hints, push to KYC system with audit trail.
Forms & Application Processing
Hand-written or printed forms (loan applications, insurance claims, healthcare intake) — extracted, validated, routed into your system.
Document Search & Q&A (RAG)
Turn 1,000+ PDFs / contracts / SOPs / manuals into a searchable AI assistant — chat, ask questions, get cited answers from your private corpus.
Document → Data Warehouse
Bulk-process historical documents (5K–500K) into structured data — invoices, statements, reports — to backfill your warehouse or analytics platform.
Mixed-Format Document Pipelines
Real-world documents arrive as scanned PDFs, photos, faxes, email attachments, Excel exports — we normalise the input chaos before extraction.
Compliance & PII-Safe Processing
GDPR / HIPAA / DPDP-aware pipelines — PII redaction, residency-aware processing, audit logs, retention policies, optional on-prem deployment.
The document AI stack we build on
OCR engines
LLMs
Orchestration
Storage
ERP / CRM
Reviewer UI
Compliance
Hosting
Work with us the way that fits your business
Pilot Pipeline
One document type (e.g., invoices) end-to-end in 3 weeks. Validate accuracy and savings before scaling.
- 1 document type
- Standard extraction fields
- ERP push
- Reviewer UI for exceptions
- 30-day support
Production Pipeline
Multi-document-type pipeline with full compliance, reviewer UI, exception handling, ERP/CRM integration, batch + real-time.
- 3–5 document types
- Reviewer UI + queue
- Full ERP/CRM integration
- Compliance (PII, audit)
- 3-month optimisation
Managed Document AI
We run the pipeline — accuracy monitoring, model upgrades, exception triage, monthly accuracy report.
- 24/7 monitoring
- Exception triage
- Model upgrades
- Monthly accuracy report
- SLA-backed support
From accuracy audit to live pipeline in six weeks
Document Audit & Accuracy Baseline
Week 1Sample 50–200 real documents, run them through 2–3 OCR engines, measure baseline accuracy, identify edge cases. Output: a target accuracy floor in the SOW.
Pipeline Design
Week 2Pick engines per document type, design extraction schema, exception handling rules, ERP/CRM mapping, reviewer UI scope.
Build & Integrate
Weeks 2–4Pipeline built — input adapters (email/scanner/upload), OCR + LLM normalisation, validation, ERP push, reviewer UI, observability.
Pilot & Tune
Week 5Run alongside manual processing. Measure accuracy vs target, time saved per document, exception rate. Tune extraction prompts.
Launch & Operate
Week 6 onwardsFull cutover with monitoring. Monthly retainer: accuracy monitoring, model upgrades, new document types, accuracy reporting.
Why teams trust us with their document AI
Multi-engine routing
Some engines win on invoices, others on contracts, others on handwriting. We route per document type — not lock you into one vendor.
Validated against gold-standard
We measure accuracy formally on a labelled set. Promise an accuracy floor. Show monthly accuracy reports. No 'AI does ~80%' hand-waving.
Production-grade pipelines
Real input chaos (email, scanner, photo, fax), reviewer UI for exceptions, audit logs, ERP push, retry/replay — not a Jupyter notebook.
Compliance built in
PII redaction, region-locked processing, audit logs, retention policies, on-prem option for regulated industries (BFSI, healthcare, legal).
Cost-engineered
Free / cheap engines on the easy 80%, premium models on the hard 20%. Our pipelines cost a fraction of single-vendor lock-in.
ERP-integration native
We know Odoo, SAP, NetSuite, Dynamics — extraction lands as a properly posted entry, not a CSV your team has to import.
Document AI for every industry
Frequently asked questions
How accurate is the AI extraction?
Typical accuracy after our tuning phase: 95–98% on printed invoices, 92–96% on contracts, 88–94% on handwritten forms. We measure on a labelled set, promise a floor in the SOW, and route low-confidence items to a reviewer queue.
Which OCR engine do you use?
We're multi-engine — GPT-4 Vision and Claude 4 Vision for complex layouts and unstructured docs, Google Document AI / Azure Form Recognizer / AWS Textract for structured docs at scale, Tesseract for cheap bulk pre-processing. We route per document type for best accuracy + cost.
Can you handle handwritten documents?
Yes — Azure Form Recognizer, Google Document AI, and GPT-4V handle handwriting reasonably well (88–94% accuracy on typical forms). For high-stakes handwritten content (legal, medical) we add a reviewer step.
Can it integrate with Odoo / SAP / NetSuite / Dynamics?
Yes. Extracted data lands as a properly posted entry in your ERP — vendor bill, sales order, customer record — not a CSV import. We routinely integrate with Odoo (any version), SAP, NetSuite, Microsoft Dynamics, and custom ERPs.
What about GDPR / HIPAA / DPDP compliance?
We deploy on enterprise-grade infrastructure (Azure OpenAI, AWS Bedrock, Vertex AI) where data does NOT train foundation models. PII redaction at ingress, region-locked processing, audit logs, retention policies. For HIPAA/regulated data we can run on-prem with local Llama/Mistral.
How long to set up an extraction pipeline?
Single document type pilot: 3 weeks. Multi-document production pipeline with ERP integration and reviewer UI: 5–7 weeks. Batch backfill of historical documents (10K–500K): typically a 1–2 week sprint after the pipeline is live.
What does it cost?
Pilot pipeline: ₹2L–₹6L ($2.5K–$7K) build + per-document cost ₹0.5–₹5 ($0.006–$0.06) depending on engine and complexity. Production pipeline: ₹5L–₹20L ($6K–$25K) build + per-document cost. Managed retainer: ₹40K–₹2L/month ($500–$2.5K).
Can it process documents in real-time?
Yes. Real-time pipelines (5–30 seconds per document) for live workflows (KYC, invoice approval at receipt). Batch pipelines for backfill. We pick the right mode per document type.
Ready to put documents on AI autopilot?
Free 30-minute audit — we'll run your sample documents through 2–3 OCR engines and send accuracy benchmarks + a fixed-price proposal within 48 hours.