Our company relies heavily on custom AI agents and proprietary automated workflows that we built in house. The buyer is dismissing these as unvalued intangible assets because they are not commercialized SaaS products. How do we quantify the direct margin impact of these systems to force a premium multiple?

Question

Tyler Smith · Accepted Answer

Buyers love to discount proprietary internal systems because they cannot find them on a traditional balance sheet. If you have built custom AI agents and automated workflows that allow your team to operate at twice the efficiency of your competitors, you cannot let the buyer categorize this as valueless software.

To force a premium multiple, you must translate these technical efficiencies into hard financial metrics. Start by showing the direct impact on your gross margins and labor efficiency ratios. For example, calculate your revenue per full-time employee and compare it to the industry average. If your industry average is one hundred thousand dollars per employee and your company generates two hundred and fifty thousand, that gap is the direct proof of your AI operational advantage.

Next, document this workflow within your EOS process documentation. Map out your core processes and show exactly where the AI automation replaces manual labor. This proves the system is institutionalized and not dependent on a single programmer.

During due diligence, present this as a scalable engine that the buyer can immediately apply to their other portfolio companies to increase their margins. When you show a private equity buyer that your automation can be leveraged across their entire platform, they will stop looking at it as an intangible asset and start treating it as a primary multiplier for your enterprise value.