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Issue 02 · Product

The first product brief for an agentic workflow

The ten decisions that turn a broad agent idea into a buildable and testable internal product.

Most weak AI builds do not fail because the model was incapable. They fail because the instruction concealed a dozen product decisions inside a paragraph.

“Build an agent that helps employees find answers and route requests” sounds like a reasonable starting point. It is not yet a product brief.

What counts as an answer? Which sources are approved? When is routing automatic? What happens when a request belongs to two categories? Who sees sensitive fields? Does the system make a decision or prepare one? What observable behavior would tell us the build is correct?

An AI coding agent can produce something quickly from the original sentence. The speed makes the missing decisions more—not less—important.

A product brief is a decision document

For an agentic workflow, the first brief needs ten sections.

1. The user promise

One sentence that says who can do what, under which boundary. For example: “An employee can submit an internal request and receive a sourced next-step recommendation for human review.”

The final four words matter. They prevent “recommendation” from quietly becoming “decision.”

2. The user and the owner

The user experiences the product. The owner is accountable for its operation. They may be different people. Name both.

3. The trigger and happy path

Describe the event that starts the workflow and the sequence through a useful result. Keep it end to end. A complete narrow path teaches more than five disconnected features.

4. Required inputs

Define fields, formats, allowed values, sensitive information, and what happens when something is missing. “Ask a follow-up question” is a feature and needs acceptance conditions.

5. Structured outputs

Do not begin with a beautiful paragraph. Define the output contract: classification, evidence rows, recommendation, confidence, conflict, reviewer action, and source identifiers.

Structure makes evaluation possible.

6. Business rules

Write what is deterministic. A request above a threshold may always require a certain approver. A missing required field always blocks submission. Do not ask a model to improvise rules the organization has already decided.

7. Human decisions

Identify who can approve, revise, reject, or escalate. Show what evidence they receive and how their disposition is recorded.

8. Edge cases and prohibited behavior

Include incomplete, contradictory, duplicated, sensitive, out-of-scope, and malicious inputs. State what the product must never do.

9. Acceptance fixtures

Write five synthetic cases before the build. For each one, describe the expected observable behavior. Include at least one case the system should refuse or escalate.

10. Non-goals

Name what this version will not solve. Non-goals are not an apology. They protect the first useful product from becoming an untestable platform ambition.

The transfer test

A good brief passes a simple test: a capable builder can implement it without inventing the organization’s policy, and a reviewer can decide whether it works without relying on taste.

That standard changes how leaders work with AI coding agents. The leader is not required to know every framework or write every line. They are required to make the product decisions legible.

The brief becomes context that persists across prompts. Acceptance fixtures become a test set. Non-goals resist drift. Human decisions remain visible. The agent can move faster because the organization has stopped outsourcing ambiguity to it.

Try this this week

Take the AI build your team is discussing. Write the user promise, structured output, three business rules, two human decisions, five test cases, and three non-goals.

If the exercise feels difficult, the difficulty was already present. The brief simply made it visible early enough to resolve.


The Internal Product Leader Lab uses this brief to direct a complete build: an Internal Request and Knowledge Hub that accepts a request, uses approved evidence, prepares a cited recommendation, records human disposition, and can be operated by a named owner.

Explore the live Lab →

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The first product brief for an agentic workflow · Built Into Work