Before you wire the money — or fund another year of "AI initiatives" — know what's real. Three weeks. Fixed price. A verdict your investment committee can act on.
Request a Scope CallThe majority of enterprise AI pilots never reach production. Demos are rehearsed. Costs are understated. The "AI team" is one engineer whose departure would end everything. If you're acquiring a company — or own one whose AI spend keeps growing while production stays empty — the most expensive thing you can do is not look.
You're diligencing a target whose deck says "AI-powered." Is it a defensible capability or a wrapper around someone else's API? The answer changes the price.
A portco has spent two years and seven figures on AI with nothing in production. We find out why — and what it actually takes to fix it.
Management says the AI program is on track. You need an independent, operator-grade read before approving the next tranche.
What's actually real in the AI and data estate versus what's theater — written plainly, with evidence, by someone who builds these systems for a living.
A 0–100 score across six dimensions: data readiness, talent dependency, security & governance, cost reality, vendor lock-in, and profit potential.
What it really costs to industrialize what exists — in numbers, not adjectives. Including what to kill.
Exactly what we'd do first if we owned it — prioritized by EBITDA impact, delivered in a one-hour partner readout.
Our own AI agents sweep the data room, codebase, and architecture in days — the same tooling that has reverse-engineered hundreds of thousands of lines of legacy code in a single day. Then the founder applies the judgment that tooling can't: what's defensible, what's fragile, what's worth fixing. That's why this takes three weeks, not three months.
Agent-driven analysis of the data room, systems, code, and cloud estate. Interviews scheduled.
Architecture review, key-person interviews, cost forensics, security and governance assessment.
Report, scorecard, cost ledger, 100-day plan — delivered in a one-hour partner readout.
The same audit was run against our founders' own AI portfolio. The result: the systems that survived run in daily production — and the ones that didn't earn their keep were killed. That's the standard your target gets held to. Ask for the sample report on the scope call.
The founder — a sitting Chief AI Officer and CIO who builds and runs production AI at enterprise scale — supported by our AI tooling. No leverage model, no associates learning on your deal.
Both. Deal-side engagements run under your diligence NDA and timeline. Portfolio-side engagements typically end with a 100-day plan the operating partner can hand straight to management.
Data-room access, architecture documentation if it exists, cloud billing exports, and 3–5 hours of interviews with the technical owner(s). We work read-only.
Yes — one fixed fee, quoted on the scope call, three weeks, defined deliverables. No hourly meters, no change orders. Timeline pressure on a live deal? Tell us on the scope call.
Many engagements end at the readout — that's fine. Where the 100-day plan calls for deployment, we can execute it, including the AI Sales Team. That's always your call, never a condition.
Fifteen minutes to scope it. We'll tell you on that call whether the Reality Check will pay for itself — and if it won't, we'll say so.
Request a Scope Call