Track value-creation plan delivery against a frozen baseline using evidence updates that cite sources, not RAG dashboards that can be months stale.
A deal structure decision record documents the business rationale for structural choices like earn-outs and escrow so the board can interrogate them.
A defensible acquisition valuation builds a price bridge from an unaffected baseline to the offer price, with a separate verified source behind each step.
Score acquisition targets against explicit criteria with source-backed ratings, so the investment committee can interrogate the final shortlist.
Build, buy or partner recommendations need shared scoring criteria and source-backed evidence per option so the board can interrogate the preferred path.
Automation bias makes reviewers scrutinise AI-generated strategy decks less. Here is the evidence and five structural governance fixes that counteract it.
AI platforms compress performance spreads and converge analysis: where it happens across three layers, why methodology alone cannot stop it, and the fix.
The confidentiality clauses a strategy firm should require from an AI platform vendor, plus the due-diligence questions that test them before signing.
AI-assisted deal analysis defensibility standard: the IC evidence pack, LP disclosure language and a six-item pre-IC checklist for private equity and M&A teams.
AI model version disclosure for boards: the cover-page line, the materiality test for model upgrades and three vendor questions that make it enforceable.
Who is accountable when an AI strategy goes wrong: the three named roles, the five-field sign-off record and what EU AI Act Article 14 requires.
AI disclosure in consulting engagement letters: a seven-point checklist, the Deloitte Australia refund case and what EU AI Act Article 50 actually covers.
