Signal Map
Move the decision circle.
Each number is a decision signal. Drag the circle into position and use it as a compact map for strategy, diligence, and execution.
Three Disciplines. One Operator.
AI strategy, M&A advisory, and applied AI tools — executed by one senior operator who has led all three at scale.
Where will AI actually create value in your business?
Board-level AI strategy that goes beyond hype. We assess readiness, build the roadmap, identify the real ROI cases, and stay through execution — not just the deck.
View Solutions →- AI Readiness Assessment
- Enterprise AI Strategy Roadmap
- Fractional Chief AI Officer (CAIO)
- Vendor Evaluation & Selection
- AI Governance & Risk Framework
- Board & C-Suite Advisory
$4B+ in deals, now structured around AI.
Target identification and technical diligence for organizations acquiring AI companies — or being acquired by them. The build/buy/partner decision, structured by someone who’s made it dozens of times.
View Solutions →- AI-Era M&A Target Identification
- Technical Due Diligence
- Competitive Moat Assessment
- Integration Planning
- Build / Buy / Partner Framework
- Deal Structuring Support
What I’ve built. What you can ship next.
Seven production AI systems built for operators — not demos. Tools that run daily, process real data, and change real decisions. Access as standalone or integrated into your workflow.
View Tools →- AI Book — 800+ private AI companies
- AI Radar — News intelligence pipeline
- AI ROI Calculator — DCF + Monte Carlo
- News Intelligence — Multi-model consensus
- Deal Lens — M&A target pipeline
- Exec Brief — Board-ready AI briefings
Common Questions
Most engagements start with a 30-minute conversation — no pitch, no deck. We agree on scope (fractional advisory, defined project, or tool access), set clear milestones, and move fast. Fractional retainers typically run 3–6 months with a defined exit. Project work is 4–12 weeks with board-ready deliverables at the end.
Mid-market and enterprise organizations where AI is now a board-level topic — but they lack a senior operator with hands-on execution experience. Typically: PE-backed portfolio companies assessing AI risk in deals, enterprise teams building an AI strategy that needs to survive a board meeting, or growth-stage companies deciding whether to build, buy, or partner their way into AI capability.
One operator, not a team of analysts. Every deliverable is produced by someone who has personally closed $4B+ in deals, built and shipped production AI systems, and operated inside the companies (Google, Intuit, Philips) facing the same questions you’re asking. No pyramid model. No first-year associate on your account.
Yes. Tool access is a standalone engagement model. AI Book, AI Radar, ROI Calculator, and other systems are available with guided onboarding — no retainer required. Contact us for current availability and pricing.
Healthcare, financial services, enterprise SaaS, and industrial/manufacturing have been primary. The common thread is: large organizations where AI is now creating measurable competitive separation between the operators who execute and the organizations still in strategy mode.
“The agent race is not won on model benchmarks anymore. It’s won on who controls the testing surface that enterprise buyers actually trust.”
— JJ Shay, Global Gauntlet · April 2026
Complexity, Simplified.
One conversation. No pitch. Just a direct discussion about whether this is the right fit — and what we’d build together.