This diagram shows the minimum path for a bounded AI-supported workflow. The system starts with a real trigger, finds trusted source material, creates a reviewable output, and records what happened.
A client, team member, or leader asks for a repeated piece of work.
The user supplies the goal, constraints, owner, and expected output.
The workflow uses approved notes, examples, and templates. It can also use policies or prior outputs.
A folder, database, or searchable knowledge base gives the workflow the source material it needs.
The AI role drafts, summarizes, compares, or routes work inside a defined task limit.
The system can read the source set and fill a template. It may update a draft or record a status note.
The reviewer checks accuracy, source fit, risk, and usefulness before use.
The output may be a packet, draft, brief, or routing note. It may also be a dashboard item or handoff record.
The system records source use, reviewer, open questions, and changes.
The owner approves, revises, routes, or pauses. They may also scope the next improvement.
The first version supports one repeated task and one source set. It also has one working memory, review path, and useful output.
The output should make source material visible so a reviewer can check the result before decisions are finalized.
The person who owns the work decides whether the output is ready, needs revision, or should stop.
