Investment committee memo
An investment committee memo runs to 15 to 40 pages and draws on the information memorandum, advisers' reports, the financial model, market research and minutes of meetings with management. Preparing it takes 20 to 40 analyst hours per deal, 60 to 70% of them spent gathering and structuring material before the first line is written. For a fund working on several deals in parallel, that assembly becomes the limiting factor on the pace of investment.
The automated workflow
A structured process for fast, reliable results.
Gathering the deal sources
The available material is brought together: memorandum, advisers' reports, financial model, meeting notes, comparables and due diligence work already produced.
Reconciling the figures
Data is compared across sources and discrepancies are flagged explicitly, for example between the memorandum's projections and historical accounts.
Drafting section by section
Each section is generated in your house memo format, citing the source document for every point made.
Preparing the meeting
A list of the questions the committee will ask, drawn from your past memos and investment criteria, so answers can be prepared in advance.
Tangible results
Up and running in 4 to 6 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Investment committee memo
More workflows: Due Diligence & Committee
Data room assistant
A mid-market deal data room commonly holds 500 to 5,000 documents, several thousand pages, and the due diligence cycle runs for 4 to 8 weeks with a peak of requests in weeks 2 and 3. Short of time, teams sample and review 5 to 10% of the documents, betting on those reputed to be sensitive. Issues lodged elsewhere surface late, sometimes after the letter of intent, when renegotiation costs the most.
AI maturity due diligence on a target
AI maturity is becoming a valuation variable. In its “2026 Private Equity AI Radar” (May 2026), FTI Consulting finds that only 7% of funds have taken AI to enterprise scale in their portfolio companies. Conventional technical due diligence describes the systems in place and leaves two questions open: can the target capture this value, and is its market at risk of being reshaped by AI-native competitors during the holding period?
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