We are planning to exit our business in three years, and we want to use AI to turn our custom onboarding process into a system-dependent operation. How do we structure this as an operations-improvement project that uses ML, rather than an expensive IT project?

Question

Tyler Smith · Accepted Answer

Buyers will discount your valuation if your customer onboarding process relies heavily on the tribal knowledge of a few key employees. To maximize your value for a clean exit, you must build system-dependent operations that a buyer can trust to run without you.

Do not frame this as an expensive IT project. Frame it as an operations-improvement project that uses machine learning to run your documented standard operating procedures.

Start by having your team document your onboarding workflow on your V/TO®. Break it down into clear, repeatable steps.

Identify which of these steps are bottlenecked by human decision-making, such as reading client intake forms and mapping out their customized launch schedule. These are your prime candidates for AI.

Instead of writing custom software, use existing tools to automatically read the intake forms and draft the initial onboarding plan. The AI does not replace your team; it acts as an assistant that does eighty percent of the drafting.

Your onboarding manager then reviews and approves the final output. This keeps a human in the loop while cutting the time to onboard a client by seventy percent.

By replacing manual administrative work with a structured, AI-assisted workflow, you prove to a potential buyer that your operations are fully scalable and system-dependent. This is exactly how you protect value and prepare for a successful exit.