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How do I scope my first AI agent?

Scoping a first AI agent means answering three things in order: which repetitive task consumes the most hours, how many systems that task touches, and what the agent should do when it is unsure. Those answers decide the architecture. Start with one trigger, one output, and one integration — anything wider is a system, not a first agent.

The wizard below asks the first two questions and returns a framework recommendation. The third one — the escalation rule — is the question worth answering with a human before any code is written.

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Your business

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What the blueprint actually asks

Scoping is not a discovery call in disguise. It is four inputs, and each one exists because it changes what gets built:

There is a fifth question the form cannot ask well, and it matters more than any of the above: what should the agent do when it is not sure? Stop, escalate to a named person, or act anyway. Teams that have not answered it end up with an agent that escalates everything, which is useless, or guesses at everything, which is dangerous.

What you get back

The wizard returns four things immediately, on screen, without an email gate on the result:

The blueprint is deliberately not an architecture document. It is the decision that has to be right before an architecture document is worth writing: which single workflow goes first.

What a good scope looks like — and what it does not

"Automate our sales process" is not a scope. "Score inbound demo requests against these five criteria, enrich them from the CRM, and route anything above the bar to the owning rep" is. The difference is that the second version names the trigger, the judgement, the systems, and the output, which means it can be built, tested, and argued with.

A scope this tight is also what keeps the calendar honest. A first agent on one well-defined workflow runs on real work within days; the one to three weeks that follow go into memory, fallback models, guardrails, logging, and real credentials —the timeline breakdown is here, and it is the part most proposals leave out. If the scoping exercise ends with more than one workflow, the honest move is to build the first one and re-scope after it has been running for a fortnight, the waya single automated business processusually expands.

Scoping also has to be allowed to conclude "do not build this". If every step in the workflow is deterministic, an automation platform is the better tool. If the work is a customer conversation on a channel a vendor already supports, compare theno-code AI agent platforms first — being live next week on a subscription beats a build you would outgrow in the wrong direction. And if nobody can yet describe the steps a human takes today, that write-up is the work, and it is free to do internally.

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