We have integrated AI-powered automation to reduce our back-office administrative costs, but our M&A advisor warns that buyers will view these savings as fragile during a Quality of Earnings audit. How do we prove these savings are permanent?
To defend your adjusted EBITDA, you must treat your AI-powered automations as permanent operating infrastructure, not temporary software hacks. During a Quality of Earnings audit, the buyer's financial team will look for any risk of operational collapse or sudden cost increases. You must prepare a rigorous technical and financial dossier. First, document your API integrations, software licenses, and maintenance protocols. Show that your AI systems are built on stable foundation models with predictable, usage-based pricing rather than volatile, custom-coded workarounds. Second, track the labor hours saved. Keep clear historical records showing that as transaction volumes increased, your administrative headcount remained flat or decreased without a drop in quality. Frame these operations as standardized completion tasks with clear error-rate metrics. Show the buyer that your systems have built-in quality checks and human-in-the-loop overrides. This proves the systems are robust and easily managed by an incoming team. By demonstrating that your high margins are driven by predictable, scalable, and documented AI workflows rather than fragile, unmaintained scripts, you neutralize their skepticism. You transform what the buyer perceives as a technical risk into a highly valuable, transferable asset that justifies a superior market multiple.
Category: Exit Planning