Workflow discovery maps how work is done so an AI opportunity can be defined clearly.
Workflow discovery is the process of understanding how people, systems, data, and decisions work together today.
It reveals the real inputs, handoffs, exceptions, delays, and outcomes. This evidence helps a team decide where AI could help and where it should not be used.
Think of it like tracing a package through a delivery network.
You follow each handoff, delay, and exception instead of looking only at the final destination. Workflow discovery makes the hidden path visible.
Input: support tickets, routing rules, and team handoffs
AI / System: identifies categories and suggests routing
Output: a scoped assistant with human review
Input: forms, approval steps, and exception cases
AI / System: extracts fields and flags missing information
Output: a measured opportunity for automation
Workflow discovery: studies real work and evidence.
Brainstorming: generates possible ideas.
Workflow discovery: explains the current process and needs.
Technical scoping: defines a feasible system boundary.
Workflow discovery: maps and assesses the process.
Process automation: changes how the process runs.
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Workflow discovery makes the real problem visible before an AI solution is designed.