Start with the work, not the tool
Which task repeats? Where does the team wait for information? What takes time without requiring a new decision every time? Those questions reveal more than a general request to “add AI.” We review the process, the input information and the people responsible for the output.
A useful first use case has a defined boundary. Examples might include preparing a draft brief, finding relevant information in approved material or classifying an incoming request for review. The appropriate choice depends on the business and the consequences of a mistake.
Define what good enough means
A pilot needs representative examples and evaluation criteria. We identify what a correct answer looks like, which errors matter and when a person must check or take over. The evaluation should reflect the actual workflow rather than a polished demonstration.
We also identify what the system should decline to decide. AI output can be incomplete or inaccurate. Important commitments, sensitive decisions and actions that need business authority should have a deliberate review step.
Plan access and information handling
Before connecting a system, the team needs to know what information it can use and which actions it is allowed to take. We discuss access boundaries, retention expectations and the services involved in processing the information.
The integration plan should provide only the access needed for the agreed task. Secrets stay out of public website code, and user-facing interactions should clearly explain whether an assistant is generating an answer, preparing a draft or submitting something for review.
Make an evidence-based rollout decision
The pilot produces a practical decision: refine the approach, use it in a limited setting or stop because the benefit is not sufficient. Time saved, review effort, output quality and operating costs all belong in that decision.
If the workflow moves forward, the scope identifies ownership, monitoring, fallback handling and ongoing maintenance. The aim is a tool your team understands, with a useful role and manageable limits.
What we can build into your scope
- Workflow discovery and use-case selection
- A contained pilot plan
- Information and access requirements
- Evaluation examples and review criteria
- Agreed prototype or integration work
- A rollout recommendation and ownership plan
Your proposal defines the deliverables, responsibilities, schedule, fees and ongoing costs.
Questions about ai consulting
Do we need a large AI project to get started?
No. A narrow task with useful examples is often a better starting point. A pilot should answer a specific question about quality, effort or workflow fit.
Can AI replace all customer conversations?
That is not a sensible assumption. An assistant can help with defined questions and preparation, while people remain responsible for project commitments, exceptions and decisions requiring judgment.
Can you connect AI to our existing tools?
Potentially. We first review available integrations, access requirements, information handling and the action you want to support. The proposal defines the specific connection and its limits.
