AGENCY · AI + HUMAN
AI Discovery Synthesis Workflow for Agencies
Turn interviews, workshop notes, and research into themes, risks, decisions, and open questions for client review.
THE SHORT ANSWER
Let AI prepare the work. Keep a person responsible for decisions and final action.
Turn interviews, workshop notes, and research into themes, risks, decisions, and open questions for client review. Build clear inputs, validation, stop conditions, and ownership before connecting tools.
HOW THE WORKFLOW WORKS
A practical implementation path
Step 1
Gather approved discovery notes, research, goals, constraints, and stakeholder inputs.
Step 2
Ask AI to organize the evidence into themes, decisions, assumptions, contradictions, and open questions.
Step 3
Require source references or note locations for important findings.
Step 4
Do not let the model resolve stakeholder disagreement or invent client priorities.
Step 5
Have the project lead review nuance, language, and what should be surfaced to the client.
Step 6
Use the synthesis to prepare the next workshop, recommendation, or scope decision.
COMMON QUESTIONS
AI Discovery Synthesis Workflow for Agencies FAQ
What should this workflow automate first?
Start with the frequent, low-risk step that has clear inputs, outputs, stop rules, and an obvious owner.
Where should AI be used?
Use AI for language-heavy work such as summarizing, extracting, classifying, or drafting. Keep consequential decisions and exceptions under human review.
What should stay human?
Keep sensitive communication, commitments, policy exceptions, money, legal issues, and unusual cases human-owned.
How do I know it is working?
Measure the business outcome, error rate, exception volume, customer or client experience, and time recovered—not just the number of automated runs.