AI Agent Setup for Small Firms: Map First, Then Build

Why we map before we build

A team of agents works best when each one has a single job: hunting leads in one market, scoring them, researching and drafting, grading the pipeline, writing articles, routing work. That only works when the process is mapped first, so every agent knows where its work comes from and where it goes next. See an illustrative blueprint in one giant AI assistant or twenty narrow ones.

An agent can only follow a process that someone has written down. Skip the map and you get an impressive demo that never makes it into daily work.

How an AI agent setup works

1. Free sketch. Tell us about one loop of work that still runs through you. You get a one-page sketch of how it probably moves and where AI fits.
2. The process map. We walk through the work with the people who do it: every step, who touches it, what they check and where it stalls. You get the map, the steps an agent could take, and the ones it mustn't.
3. The build. We set up the agent on the tools you already pay for, test it on your real work, and add the review step: a named person approves anything that reaches a client, a supplier or your books.
4. Measure. We compare the before and after on the same job, so you know whether it paid.
5. Optional upkeep. If you want, we keep the agents and the map current as your team and the models change.

The full ladder of steps is on our services page. These business process mapping examples show what a finished map looks like.

Fixed-fee pricing

• Free sketch: free, built from public information and what you tell us.
• Process map: a fixed fee, scoped to the size of the process and agreed before work starts.
• Agent build: priced off the savings it produces, measured against the before number from the map. If the map shows no saving worth building, we tell you and stop.
• Optional retainer: monthly upkeep to keep the agents and the map current. You can stop after the build.

Running costs are separate and usually small. How often agents re-read their work matters more than the model price; a worked example is in what AI agents cost when they re-read their lists. For your own numbers, see what AI really costs a small firm.

What a good first agent looks like

A good first agent takes a job that is frequent, routine and easy to check. Order entry is a classic. In a vendor case study we covered, North West Meat Company in Chicago had staff retyping orders from phone, voicemail and email every night. According to Choco, the vendor, nightly order entry fell from about three hours to under one. Trade coverage of the same deployment says orders still pass a staging step for approval before they reach fulfilment. Those are the vendor's figures, not ours, and not an audit.

The shape is what matters: the machine reads the routine, a person approves, and the time saved can be measured. That's the pattern we look for in every map. The first three agents we'd usually suggest are in AI agents for small business: the three we'd set up first.

The rule we don't break: agents draft, people send

An agent can find, score, research and draft faster than any person. Sending is a different decision. Anything that reaches a client or prospect goes out in your firm's name, and you are responsible for it, as Air Canada found when a tribunal held it to its chatbot's answer. So in every setup we build, agents find, score, research and draft, and a named person reviews and sends. Not sure an agent is even the right tool? Take the test on AI agents for business.

Frequently asked questions

Start with one process

Tell us about one piece of work that eats your week. You'll get a straight answer on whether an agent fits, where it shouldn't, and the next step.

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