How to Start an AI Consulting Engagement: The First Meeting

Start an AI consulting engagement with one problem the team can show. Bring a typical example, a difficult example, the systems involved and the person who owns the result.

Bring a small, useful packet

• A short description of the task, who does it and how often it happens.
• Two or three approved examples with expected outputs; use sample or redacted material if real data is sensitive.
• The tools the task reads from or writes to, with the person who manages access.
• Rough time per task and the cost of getting it wrong.
• Your deadline, decision owner and any restrictions on data or outside tools.

What a good first conversation covers

First walk through the current process from trigger to finish. Point out the judgment calls and who receives mistakes. Then agree which part might become a draft, a routine automation or a separate custom build. Ask what evidence would justify a pilot, what the consultant would need to see, and who can approve that access. The goal is a clear next decision and a small set of questions to answer.

Leave with a decision and an owner

For example, an office wants help creating onboarding folders and checklists when a signed agreement arrives. Discovery should identify the approved trigger, what must be approved manually and where completed work is recorded. The immediate next step might be to test the process with three sample agreements before deciding whether any AI is needed. Name the person who will provide the examples and who will approve the result.

NetSys offers free project discovery. If the work needs an assessment or a pilot, agree its deliverables, access and price before it starts. See what an AI assessment should hand you if you are deciding whether to commission one.

Bring the task, systems and decision owner to a free project discovery call. Explore NetSys AI consulting.