How to Document an AI-Assisted Workflow
Document an AI-assisted workflow with the purpose, input rules, prompts, model details, review steps, exceptions, and ownership.
Documentation makes assistance reproducible
If AI helps with research, drafting, classification, coding, or support, record enough context for another person to understand the process. State the task, audience, input boundaries, approved tool, expected output, and final human decision. Do not store private inputs merely to make the documentation look complete.
Keep the prompt or instruction version with the workflow when it affects results. Note model or service changes when they may alter behavior. Explain which claims, fields, or actions require review before they leave the team.
Describe failure and recovery
List common errors, escalation points, and the fallback path if the service is unavailable. If the workflow can send messages, change records, or make decisions, define the approval boundary. Include examples of acceptable and unacceptable output without exposing real private data.
- Give the workflow an owner and review date.
- Keep access and data retention rules near the instructions.
- Track corrections and recurring failure modes.
- Remove unused prompts instead of keeping every experiment.
A short, current workflow record helps people use AI with judgment. Include the input type, sensitive-data rule, review step, owner, and date checked. Note which parts require a human decision and where the final output is stored. It also makes it easier to stop using a step that no longer earns its place or introduces more correction work than it saves.