AI workflow use case
AI document intake for invoices, forms, requests, contracts, and operational records.
Many back-office workflows start with documents or emails that must be read, checked, extracted, and routed. The AI agent handles first-pass intake and leaves exceptions to humans.
Governed Agent Pattern
TriggerRequest, document, ticket, event
ContextApproved knowledge and systems
ReasonClassify, summarize, decide
ActDraft, route, update, notify
ApproveHuman gate where needed
AuditLogs, metrics, exceptions
Workflow story
1
Document arrives
The agent receives an email attachment, uploaded document, scanned form, invoice, or request.
2
Extract and validate
It extracts key fields, checks completeness, compares against simple rules, and flags missing or conflicting data.
3
Route the work
It creates or updates the destination record in a CRM, ERP, ticketing, document, or approval system.
4
Handle exceptions
Low-confidence, high-value, regulated, or policy-sensitive cases are sent to a human queue.
Controls that make it production-safe
- Human review for exceptions and high-risk approvals.
- Field-level confidence and audit logging.
- Approved destination systems only.
- Sensitive-data handling rules defined before production.
Expected outcomes
- Less manual data entry.
- Faster document turnaround.
- Better completeness checks.
- Clear exception queues.