Hiring an AI Implementation Partner

The AI vendor market is not well regulated and moves faster than most buyers' ability to evaluate it. A vendor who shipped a credible product in 2023 may be running on the same demo in 2025. The due-diligence questions in this guide are designed to surface that gap — not to catch vendors in a trick, but to find the ones who have genuinely operationalized what they're selling and can show you the evidence.

The biggest mismatch in AI procurement for small businesses happens at the contract stage. Implementation fees are negotiated, but the terms that actually matter — what happens when the AI produces incorrect output, who owns the training data, what triggers the exit clause — are rarely discussed before signing. Owners who have been through a failed AI deployment almost always identify a contract gap in the post-mortem.

This guide covers three vendor categories — consultant, platform, and managed service — because the right choice depends on what you actually need. If you need someone to tell you what to build, you want a consultant. If you need the system itself, you want a platform. If you need the system built, maintained, and operated for you, you want a managed service. Conflating them during procurement is the single fastest way to spend money on the wrong thing.