What should you get from AI consulting?

Match the session to the problem

If you are deciding between tools, an advice session can compare a short list against your actual tasks. Bring examples of the writing, planning or research you do. The result should explain the recommendation and the tradeoffs in terms you can use.

If you already have a tool but rarely use it, hands-on training may be more useful. Work through a real task in your own account, adjust the setup and practice checking the output. A short learning plan and reusable prompts give you something to return to afterward.

If several people or processes are involved, start with research and planning. That could produce a market map, an AI readiness assessment or a prioritized workflow plan. Choose the output that answers your question rather than bundling every possible deliverable into one engagement.

What does an on-site AI training session include?

We agree on one task, the tool and the outcome before the visit. A session can cover setup in your own account, a guided attempt at your actual task, ways to check the output and a short practice plan. On-site sessions in Raleigh, Durham and Pinehurst are arranged around the location and scope. A larger integration or custom build is scoped separately.

“Help me use AI” is a reasonable opening conversation. To make the working session useful, narrow it to something like drafting a weekly customer update, organizing meeting notes or comparing information from several documents. Explain what makes the task difficult today.

Use a sample you are comfortable sharing. We can often start with invented or redacted material while deciding what account access is necessary. Setup should happen in accounts you control, with clear agreement about which information a tool will receive.

• One task you would like to do better.
• The tools you already use and who uses them.
• An example of a good result.
• Any limits on time, access or information sharing.

Make an AI readiness assessment practical

For a small team, readiness can begin with simple questions: Is the source information available and reliable? Who will check the output? Does someone own the process? Can you recognize a wrong answer, and can you recover if something fails? A score without next steps is not much help.

NIST’s AI Risk Management Framework provides a voluntary foundation for considering trustworthiness when designing, using and evaluating AI. Its generative AI profile addresses risks specific to these systems. We use that as a reason to discuss review, data and responsibility alongside possible benefits; a consulting session is not a certification.

The framework and its companion generative AI profile. NIST: AI Risk Management Framework

Leave with something you can use

A useful written recap names the decision, explains why it fits and identifies the next action. A learning plan names a few tasks to practice and how to check your progress. A market map compares options against stated criteria, with sources and a date so you know when it was researched.

If the next step requires an integration or custom software, that is a separate build to scope. Training someone to use a tool and maintaining a connected workflow involve different responsibilities. Clarifying that distinction early makes it easier to buy only the help you need.

Arc Labs offers remote consulting and on-site sessions in Raleigh, Durham and Pinehurst by arrangement. The brief sets out the topic, deliverable and follow-up so you know what to expect before we begin.