The work spans AI governance, PE operating partnership, and fractional product leadership. The pattern is the same in each case: tighter accountability, faster execution, and measurable operating improvement.
Client identities are kept confidential. Outcomes, timelines, and context are accurate.
The company had deployed six AI initiatives across product and operations over 18 months. None had formal governance. Two had potential GDPR exposure. The board was aware but hadn't acted, because they didn't have a framework for what acting even meant. With an acquisition process likely in 12 months, due diligence risk was real.
Full AI Readiness Index across all six initiatives, classified by trust tier and risk surface
Decision rights framework adopted as board policy with clear accountability mapping
Two high-risk AI deployments remediated before due diligence opened
Board AI literacy program with measurable improvement in GP confidence scores
Governance framework cited positively in acquisition due diligence report
The investment thesis depended on AI-enabled product differentiation that the existing leadership team lacked the capability to execute. The company was 18 months post-acquisition with a stalled product roadmap, unclear technology ownership, and a board that had lost confidence in the CEO's ability to deliver the tech agenda.
New product and technology org structure with clear accountability, implemented in 45 days
AI operating model integrated into core service delivery instead of a parallel track
Product roadmap rebuilt and delivered to the board with 18-month visibility
Three senior hires made: VP Engineering, Head of AI, and Head of Product
12-month revenue impact from AI-enabled product features: greater than 15% improvement in retention
The CPO departed unexpectedly during a critical product cycle. The company was three months from a major launch with a demoralized product team, no clear direction on two contested strategic decisions, and investors watching closely. The CEO needed a senior operator who could step in with authority immediately, not a consultant with a 90-day discovery phase.
Product team stabilized within 30 days with no additional attrition during the engagement
Launch delivered on schedule, the first major product release in 18 months to hit target date
Two contested strategic decisions resolved with board alignment
Permanent CPO search run in parallel and hired in month seven with a clean transition
Product operating model rebuilt so the new CPO inherited a functioning structure from day one
The governance framework Joe built gave our board a real basis for AI decisions, not just confidence theater. Two board members specifically cited it in our post-acquisition review as a differentiator in due diligence.
He doesn't give you a deck and leave. He stays until the thing actually works. That's rare at this level. Most advisors optimize for the relationship, not the outcome. Joe optimizes for the outcome.
We needed someone who could walk into a room of skeptical senior engineers on Monday and have their trust by Friday. Joe did that. The team was better for having him, not just the product.
After 20-plus years of product leadership and a growing number of PE and advisory engagements, the failure modes are consistent. They're not random. And they're almost always fixable when you catch them before they become audit findings or missed targets.
This is the pattern I look for in every discovery call. If any of these sound familiar, the engagement is probably worth having.
Discovery calls are 30 minutes. No pitch. If I can help, I'll say exactly how. If I can't, I'll tell you that too.