We have built proprietary AI agents that handle client onboarding, which has doubled our capacity without hiring, but buyers are treating this as generic software rather than proprietary enterprise value. How do we structure the transfer of this technology to prove it is a core asset that warrants a higher multiple?

Question

Tyler Smith · Accepted Answer

Buyers will always try to dismiss your internal AI tools as generic or easily replicable to keep your multiple low. To force a buyer to pay a premium for your AI-powered operations, you must treat your technology as a distinct, transferrable intellectual property asset with a clear return on investment.

Start by documenting the exact operational leverage your AI agents create. Show the buyer your historical capacity metrics before and after the implementation of the technology.

Use your EOS Accountability Chart to show how the AI has permanently replaced specific administrative roles, allowing your team to focus strictly on high-value client delivery. This proves the sustainability of your margins.

When structuring the deal, create a separate IP transfer agreement within the purchase contract. Clearly define the proprietary algorithms, data sets, and custom integrations that make up your AI stack.

You should also offer a dedicated technology transition period during which your technical leads train the buyer's team on how to maintain the AI models. By structuring the sale as an acquisition of both an operating business and a proprietary automation platform, you shift the conversation from a basic services multiple to a tech-enabled premium multiple.