PRIVATE EQUITY
How AI can improve portfolio-company EBITDA.
Oliver Palnau & teamPalnau SystemsDiscuss with Oliver and his team 
AI can improve earnings when it cuts actual expense or adds contribution profit. Time saved becomes financial value only when the business puts it to use.
Pick a measurable process
Choose repeatable work with an owner and a known cost. Quoting, invoice matching and renewals are examples. Check that the data and system access support the build.
Turn time saved into a real benefit
Decide how recovered time will help: avoid a hire, reduce overtime, process more profitable work or replace an outside expense. Record the decision that turns capacity into financial value.
Include the running costs
Subtract model usage, software, support and human review. Keep the one-time build cost separate. Agree with finance on accounting treatment before calling a benefit EBITDA.
Treat valuation as a scenario
The calculator multiplies assumed sustainable EBITDA gains by your chosen multiple: 1×–30×, default 8×. Buyer expectations and market conditions can change. This is a sensitivity calculation, not an appraisal.
Prove it before portfolio rollout
Measure the first company’s baseline, quality, adoption and net result. Reuse the approach where it fits, while respecting each company’s systems and permissions.
Make it specific to your business.
Bring one workflow. We’ll discuss where AI could help and what needs to be validated.
Build your own scenario