What breaks today
Documents arrive in inconsistent formats and humans spend time classifying, extracting, validating, and routing them.
Use cases
Use case
AI Document Intake Workflowinside your tools.
Deploy AI document intake workflows that classify, extract, validate, route, and log documents with human review.
Before and after
The workflow is scoped around pain, systems, and measurable outcomes.
What live means
Documents are classified, key fields extracted, confidence scored, routed for review, and logged to the right system.
Deployment design
Systems, governance, and KPIs are defined before build.
Systems involved
- Drive/SharePoint
- CRM
- ERP
- Case management
- Spreadsheets
Governance controls
- Low-confidence review
- Sensitive-field handling
- Approval before writeback
- Extraction audit log
KPIs to baseline
- Intake cycle time
- Manual extraction hours
- Exception rate
- Data completeness
What the workflow does
It turns messy intake into a controlled path from document to system update.
- Classify document
- Extract fields
- Validate rules
- Route exception
- Update system
What Agentra refuses
Document AI should not quietly push bad data into systems of record.
- No low-confidence writeback
- No unlogged extraction
- No sensitive-field shortcuts
Next step
Bring one painful workflow.
Agentra will qualify owner, KPI, data, access, approval rules, and deployment readiness before recommending a diagnostic or rejecting the fit.