We have built custom prompt-engineering chains and local database integrations that automate our client onboarding. How do we prove to a buyer during technology due diligence that this custom intellectual property has real value and is not just a generic wrapper around a public language model?

Question

Tyler Smith · Accepted Answer

To prove that your custom AI integrations represent valuable proprietary intellectual property rather than a simple wrapper around public language models, you must demonstrate their operational integration and repeatability. Buyers are skeptical of hype; they want to see concrete workflows and predictable outcomes.

Frame your AI tools as specialized completion tasks. Explain to the buyer's due diligence team how your system predicts the most relevant operational completions by leveraging your proprietary historical data and customized context inputs. This is not just a generic search query; it is a refined process that produces repeatable, high-margin results.

To validate this value during due diligence:

- Provide a clear map of your custom prompt-engineering libraries and the middleware that connects them to your internal databases.

- Show historical performance data that demonstrates how these AI-driven workflows keep your administrative headcount flat while scaling production.

- Document the standard operating procedures that your team uses to manage and audit these AI completions, proving that the technology is easily transferable to a new owner.

By showcasing this custom technology as a structured operational asset rather than a loose collection of tools, you prove its strategic value under the Market Approach, allowing you to command a premium valuation for your tech-enabled operations.