When every tool promises to transform your business, choosing a starting point can feel harder than choosing a tool. A useful first move is much simpler: understand a piece of work that already needs to improve.
1. Name the business problem before the technology
Choose a specific challenge: a backlog of routine documents, slow handoffs after customer calls, or too much time assembling weekly updates. “We need AI” is difficult to act on. “Our team spends too long preparing the same weekly report” gives you something to investigate.
Ask the people doing the work where effort accumulates. Document the current steps, who owns them, and which systems or files they use. The most useful opportunities are often visible in everyday frustrations.
2. Look for a manageable first opportunity
A reasonable pilot has a clear owner, a repeatable task, accessible information, and an output a person can review. Consider whether errors are easy to spot and correct. A task that appears repetitive may still involve nuanced judgment or exceptions that deserve a different approach.
Avoid making a high-consequence decision your first experiment. Begin with assistance—such as preparing a draft for review—where your team can compare the output with the current way of working.
3. Check the practical constraints
Before choosing a tool, look at the information involved. Who is allowed to access it? Are there confidentiality requirements? Can the existing system connect with the proposed workflow? What will a tool cost as usage grows?
Use approved sample or non-sensitive information for early exploration. Review data-handling settings and the tool’s terms with the right people in your business. Familiarity with a product does not by itself make it suitable for every type of information.
4. Decide what success would mean
Record a starting baseline for the task. You might track preparation time, corrections, turnaround time, or the number of items waiting. Include the time spent reviewing and fixing AI outputs, not just the speed of generation.
Set a review point and decide in advance what would lead you to continue, change course, or stop. A pilot that reveals poor fit is still useful if it prevents a larger commitment.
5. Make learning part of the plan
Give one person ownership of the pilot and involve the people who will use it. Keep a simple log of good outputs, mistakes, and exceptions. Use that feedback to adjust instructions, review steps, or the scope of the task.
The goal of a first AI project is a sound decision about a useful workflow. Start small enough to learn, and expand only when the evidence and your team’s experience support it.
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Your AI starting-point checklist
Use this checklist to choose one practical opportunity to explore before selecting a tool.
If an item is unclear, use it as a discovery question before expanding the pilot.
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Use this resource independently. When consultations open, you can also bring your notes to a free 30-minute introductory conversation.
Consultation availability ↗General guidance. Apply it in the context of your business and review proposed tools and workflows before using sensitive information or making important decisions.