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Agentic Document Processing (ADP) for extraction, validation, and routing

We extract structured data from PDFs/scans/emails and automate downstream workflows—validation, exceptions, approvals, and integrations—so documents turn into actions, not manual work.

What you get

  • Document types + field mapping
  • OCR + layout understanding (as needed)
  • Extraction pipelines + confidence scoring
  • Validation rules (format, match, duplicates)
  • Exception workflow (human review queue)
  • Routing + integration to target systems
  • Audit trail + dashboards + runbooks

How it works

1

Document

PDF/scan/email

2

OCR/Parse

Text extraction

3

Extract Fields

Key data

4

Validate

Rules check

5

Exceptions

Human review

6

Route/Update

Target system

Example use-cases

1
Invoice extraction → validate PO → route for approval → ERP update
2
KYC/Forms extraction → validate fields → flag missing → follow-up trigger
3
Shipping docs → extract IDs → update tracking system → notify

Integrations & systems

Email/Inbox
Drive/S3
ERP/CRM
Ticketing
Databases
APIs/Webhooks

ISO-backed delivery

Certified processes & security

Security-first

Enterprise-grade controls

Full documentation

Runbooks + handover

Frequently asked questions

How do you handle different invoice formats?

We use layout-aware extraction that adapts to different formats. New formats can be added with minimal training.

What happens when confidence is low?

Low-confidence extractions go to a human review queue with highlighted uncertain fields.

Can we add validation rules?

Yes. We support custom validation rules for format checks, cross-field validation, and duplicate detection.

Do you support audit trails?

Yes. Every extraction, validation, and routing action is logged with timestamps and attribution.

How fast can we pilot 1 doc type?

Typically 2-3 weeks from kickoff to a working pilot for one document type.

Ready to get started?

Let's discuss your use-case and map the fastest path to production.

When to use what

Use Prompting

When rules are simple and risk is low

Best when:
  • Simple classification
  • Low stakes
  • Fast iteration needed
  • No training data

Use RAG

When answers depend on changing knowledge

Best when:
  • Dynamic knowledge base
  • Need citations
  • Frequent content updates
  • Multiple sources

Use Fine-tuning

When you need consistent formats + high precision + domain behavior

Best when:
  • Consistent output format
  • Domain-specific language
  • High precision required
  • Cost optimization

Our AI service lines

AI Workflow Automation

Automate intake → classify → route → act → track SLAs

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ADP & Document Extraction

Extract fields from PDFs/scans/emails with validations and exception queues

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AI Agents & Copilots

Knowledge copilots and agents that retrieve answers and take controlled actions

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Custom Models & Fine-tuning

Higher accuracy and consistent outputs for domain-specific workflows

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Voice AI Systems

Speech analytics and voice workflows for call-heavy teams

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AI Integrations & Deployment

Production engineering: APIs, deployment, monitoring, security controls

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