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Business Operations#23 Call Summary
Document Processing Automation Agent
"Extract, classify, and file 1000 documents a day"
30 sec/doc
Processing Speed
98.5%
Accuracy
₹3
Cost per Doc
The Problem
Builders process thousands of agreements, KYCs, invoices, possession letters. Manual processing is slow, error-prone, and expensive at scale.
Workflow
How the system runs
- 01Document received via email/upload
- 02OCR + classification
- 03Data extracted into structured schema
- 04Validated against business rules
- 05Filed in DMS with metadata
- 06Exceptions queued for human review
Customer Interaction
Call Summary
Call Summary
positiveDaily document run · Pune portfolio
Duration · 1,000 docs/day
- 32 KYCs, 9 agreements and 6 invoices processed in latest batch
- Two files flagged for signature mismatch
- All approved files stored with metadata and searchable IDs
Auto-created CRM Tasks
- 1Notify compliance team for flagged signatures
- 2Send batch completion report to operations
- 3Update audit log and retention folder
✓ Pushed to CRM · summary attached · follow-ups assigned
Dashboard & Reporting
Document Processing Control Room
Document Processing Control Room
Documents processed by class
Live
Documents Processed
31,842
+41%
Avg Time / Doc
30 sec
−94%
Extraction Accuracy
98.5%
+12%
Human Review Rate
4.2%
−18%
Cost / Document
₹3
−76%
Daily Throughput
1,000+
scaled
Documents processed by class
Exception rate
4.2%
sent to review
KYC documents
58%
largest
Signature mismatches
91
flagged
Filed to DMS
30,504
auto
Operational Improvement
Before vs After
Before
- Manual OCR and spreadsheet entry
- KYC mismatches discovered late
- Files named inconsistently across Drive
- Audit prep takes days
After
- Documents classified and extracted automatically
- Validation rules flag exceptions immediately
- DMS filing uses consistent metadata
- Audit-ready logs generated daily
Business Impact
Measured outcomes
30 sec/doc
Avg Processing Time
98.5%
Accuracy
₹3
Cost per Document
1,000+ docs/day
Throughput
Technology Stack
Enterprise architecture
4-week build · production-grade infrastructure
Automation Layer
- n8n
CRM Layer
- Notion API
- Airtable
Communication Layer
- Slack
AI Layer
- OpenAI
Integration Layer
- Google Workspace
Suitable Industries
Real Estate Banking Insurance Healthcare Legal Firms Logistics Accounting Teams
Implementation Brief
Document Processing Automation Agent rollout plan
Architecture, integration layers, operating rhythm and KPI governance for a 4-week production rollout.
System Walkthrough
6-step workflow · 6 KPI dashboard · ops interaction model
Project Note
"Paper-pushing is the most expensive job in any business. We replaced it with software."
Project Concept & Design
Anurag Dube
Developed Under
NeovraAI