AI Exposure Assessment
A workflow-level evaluation of how AI can change a business’s sustainable cash generation, competitive durability, required investment, and transferability.
An AI Exposure Assessment evaluates material revenue streams and workflows for supported benefits and risks: realizable cash savings, incremental revenue contribution, pricing pressure, substitution, vendor and oversight cost, rights, dependencies, and implementation needs. It distinguishes outcomes already in earnings, unproven seller improvements, and buyer-created synergies. An AI label or sector classification does not establish a premium or a displacement forecast.
Show what customers pay for, what the workflow delivers, its full cost and failure rate, who retains the benefit, and whether the buyer can use it after close. Keep unsupported upside outside the base case.
Does the evidence change standalone earnings, the forecast, investment, buyer-created value, or willingness to acquire? Test capability, economic capture, and transferable rights separately.
AI Business Valuation Underwriting Map · AI Earnings and Investment Bridge · Signal vs. Narrative · Dependency vs. Leverage · Transferability
