We have built a proprietary customer service workflow powered by fine-tuned large language models, but potential acquirers are skeptical of its reliability. How do we prove our AI system is a highly valuable, predictable operational asset rather than a liability during their due diligence process?

Question

Tyler Smith · Accepted Answer

Sophisticated buyers are increasingly looking for companies with automated, AI-powered operations, but they are also deeply skeptical of fragile technology. If your custom AI systems are seen as unpredictable liabilities, they will not add to your valuation. You must prove that your AI integrations are robust and reliable assets.

- First, document how your generative AI models are built, fine-tuned, and maintained. Explain the specific prompts, context windows, and parameters used to run your automated workflows.

- Second, demonstrate that your AI completions are highly reliable. Show how you manage the probabilistic nature of these models to prevent errors, hallucinations, and security breaches.

- Third, prove that your AI systems are deeply integrated into your core processes. Show how they save labor costs, improve customer satisfaction, and accelerate workflow delivery.

During due diligence, present your AI systems as institutionalized operational IP. When you can show a buyer that your AI-driven workflows are secure, scalable, and easily integrated into their existing platform, they will pay a premium. This changes their valuation perspective from a basic Asset Approach to an Income Approach, as they see your automated workflows as a direct driver of future cash flows.