AI workflow discovery for real operations
A field-first way to discover where agents, extraction, search, copilots, and automation should actually live.
Outcome: Find AI use cases that survive contact with messy documents, approvals, handoffs, and edge cases.
Operating sequence
- Inventory decisions, not tasks. AI helps most where judgement, documents, and latency collide.
- Sample ugly inputs: scans, emails, call notes, spreadsheets, policy text, and partial records.
- Rank opportunities by feedback speed, error cost, data access, and human-in-the-loop clarity.
- Prototype with audit trails from day one so trust can compound instead of becoming a late compliance panic.
Artifacts to leave behind
- decision inventory
- data-readiness scorecard
- risk register
- human-review workflow
Kev’s blunt rule
If the engagement does not produce a visible workflow change, reusable product learning, or a clear kill decision, it was just expensive tourism with a laptop.