The AI Automation Brief That Saves Discovery Time

Many AI automation projects start with a vague request: we want to automate support, finance, sales, or operations. That is understandable, but it is not enough to estimate architecture, risk, or delivery effort.

011. Start With the Workflow Name

Name the workflow in business language. For example: invoice exception review, lead enrichment, procurement request triage, contract intake, field service report cleanup, or customer support knowledge lookup.

The name should be narrow enough that a user can describe where the workflow starts and where it ends. If the workflow cannot be named, discovery should begin with mapping rather than automation design.

A useful brief makes workflow boundaries visible before technology choices begin.

022. List the Systems Involved

Document the software touched by the workflow: Oracle APEX, ERP, CRM, email, spreadsheets, document storage, ticketing, payment tools, or internal databases. Include whether each system has an API, database access, export process, or only a manual interface.

This single section often changes the project plan. A workflow with clean APIs is very different from a workflow that depends on screenshots, inbox rules, and undocumented spreadsheet formulas.

033. Define the Human Checkpoints

State who approves the work today and who remains accountable after automation. AI can prepare decisions, but some workflows still require human authority because of financial, legal, operational, or customer impact.

A strong brief separates low-risk assistance from high-risk execution. That separation protects both the user and the project timeline.

044. Describe Success in Operational Terms

Avoid vague targets like smarter or faster. Use practical indicators: fewer manual checks, shorter response time, better routing accuracy, reduced duplicate entry, fewer incomplete submissions, or faster exception review.

The best brief does not need to be long. It needs to be honest enough that the team can design the first useful release instead of chasing an abstract AI transformation.