We want to use modern AI and automated workflows to increase our margins before we sell, but we are worried a buyer will view custom-built tools as technical debt. How do we document these workflows as robust, transferrable assets?

Question

Tyler Smith · Accepted Answer

Buyers are often skeptical of custom-built technology because they fear it relies on tribal knowledge or requires specialized developers to maintain. If your custom AI workflows are viewed as technical debt, the buyer will discount your valuation. To prevent this, you must package your automation as a core, documented asset that runs on clear processes.

Start by framing your AI systems not as complex code, but as systematic completion tasks. For example, if you use a language model to automate customer support routing or compile project summaries, document the exact prompts, APIs, and data flows in your operational manuals. Use the EOS® 3-Step Process to clarify how these automated tools interact with your human team members on the Accountability Chart.

Next, prove the reliability of these systems by tracking their performance on your weekly Scorecard. Show the buyer historical data on error rates, system uptime, and the specific cost savings achieved through automation.

Finally, ensure that your intellectual property is clean. All custom scripts, database schemas, and AI prompts must be hosted in secure, corporate-owned repositories with clear documentation. Your internal technology seat must have the GWC™ to manage these systems without your personal intervention. By presenting your automated workflows as standardized, easily maintained assets, you turn potential technical debt into a high-value operational leverage point that justifies a premium multiple under the Income Approach.