Insights
Field notes on AI adoption, the pilot-to-production gap, and the revenue discipline behind both, written by the executives who lead our engagements.
Featured · Agentic AI in the portfolio
83% of operating partners report at least one agentic AI use case deployed or piloting. Most are scaling it with no playbook.
Operations
A real cost anatomy from discovery to retainer, the five ways these projects fail, and a buy-vs-build framework you can use yourself.
Operations
Intuit's documentation covers the how. It cannot cover the whether. The full list of what does not convert, the failure modes that hurt, and a straight decision framework.
Compliance
A signed plan is not a program. The nine required elements sized to a 3 to 30 person firm, and the evidence auditors and insurers actually ask for.
Compliance
All nine elements of 16 CFR 314.4 in one table: what satisfies each at 5 and 50 seats, honest costs, and the evidence to keep.
Private Equity
Operating teams are getting leaner while AI demands get louder. A standardized, per-portco readiness module is how sponsors keep pace without adding headcount.
Revenue
AI projects with quantified success metrics set up front succeed about 54% of the time. Without them, about 12%. One discipline, four times the odds.
Governance
In IBM’s 2026 breach study, 68% of breached organizations lacked AI governance, and 92% of those attacked through AI had no access controls on it. Company data. A ban won't fix it. A policy that channels the demand will.
Revenue
Nine in ten organizations use AI. Six percent get 5% or more of EBIT from it. The gap between the pilots that stall and the ones that scale is organizational, and it is closeable.
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