Who does what when we build your AI solution?

Once you choose an AI use case, the work involves more than building an agent. Someone needs to own the business result, prepare the information, test the solution, and support the people using it.

Start with clear responsibility on both sides.

Your organization provides a business owner, access to the relevant knowledge, and the people who can judge whether the solution helps. BiG Impact Group provides a Principal to direct the engagement and the delivery skills the scope requires.

The Principal keeps the objective, priorities, acceptance decisions, and roadmap connected. The client owner confirms the organization’s requirements and decisions. These responsibilities are agreed before the work begins.

Five kinds of work support the build.

These are responsibilities, not a promise of five full-time people on every engagement. Team members can cover more than one area. The scope determines the mix and capacity.

Make acceptance concrete.

Consider an assistant that finds internal policy information. The team needs approved sources, access rules, representative questions, and an agreed response when no reliable answer is available. Reviewers need to check correctness and source quality, not just whether the assistant can produce a fluent answer.

Before rollout, agree which findings must be resolved, who approves the next stage, and who maintains the source information. The same discipline applies to a predictive application, but its data, evaluation, and operating requirements will differ.

Agree what continues after launch.

A strategic retainer provides ongoing capacity around named initiatives. Fractional CAIO leadership provides standing ownership across the organization’s AI agenda. Platform management covers the responsibilities specified for an AI Workspace. The agreement should make these boundaries clear.