Your first AI workflow should be small enough to prove.

Most businesses do not need to automate everything at once. They need one recurring piece of work that takes less effort to finish, without creating a new problem for someone else.

A useful first workflow has a clear trigger, a source of information, an owner and an observable result. Start there. The model and the messaging app come after you understand the work.

Look for repetition with a clear finish line

Pick something your team already does repeatedly. A conversation becomes a summary. A meeting becomes a follow-up draft. A customer request becomes a task with an owner. These are proposed starting points, not a promise that every integration is already available for your account.

Avoid choosing a process just because it sounds impressive. If nobody can describe what a good result looks like, it will be difficult to decide whether the agent helped. A bounded task lets you compare the same kind of work before and after implementation.

Map the handoffs before the tools

Write down what starts the work, where the relevant information lives and who needs the result. Then follow one recent example through the entire process. Include the copying, reformatting and checking that usually gets left out of a process diagram.

In his public interview, marriage coach Mathis Kennington describes an earlier process involving a call transcript, instructions about his frameworks and another tool to assemble a playbook. Around 13:10, the detail is the movement between those steps. Around 5:16, he describes Wren helping turn a recorded call into a portal and playbook using his methods. That is a specific account of a workflow, not a guarantee for another business.

Define the output and the boundary

A draft follow-up and a sent follow-up are different outcomes. Make that distinction before connecting an agent to your tools. State which information it can read, which records it can change and which actions need a person to approve them.

• Trigger: a meeting finishes and the transcript is available.
• Input: the approved transcript, the relevant business context and a follow-up template.
• Output: a draft with next steps, owners and unresolved questions.
• Review: the person responsible checks names, promises and dates before sending.
• Exception: missing information is flagged instead of invented.

This is an example acceptance checklist. Adapt it to your own process and the permissions of the tools you use.

Measure the whole job

Record how long the task takes today, including review and correction. After implementation, measure that same complete job. A fast first draft is less useful if it takes longer to repair than the old process took to finish.

Track the number of completed tasks, the corrections needed, the time spent reviewing and the exceptions that required intervention. Keep revenue claims separate from operational observations unless you have evidence that supports the connection.

Expand only after the first workflow is useful

Once the team can recognize a good result and handle failures, decide what should come next. The next step may be an additional source of context, a second output or a new workflow. It may also be better documentation for the process you already have.

At Be Human, the starting conversation is about how your business works. Bring one recurring task, one real example and the person who owns the outcome. Those three things are a useful foundation for implementation.