Former Fortune 3 Chief Data Scientist · Optum / UnitedHealth Group
Architect Enterprise AI. Govern Risk. Scale Outcomes.
Enterprise AI strategy, fiduciary governance, and production-grade delivery for healthcare organizations that can't afford to get it wrong— from the former Chief Data Scientist who helped govern a $2.4B AI agenda at Optum/UHG and helped scale a $1B+ healthcare AI exit at Surest.
Or download the Executive Brief ↓ — 1-page PDF overview
$2.4B+ AI Agenda
Governed at Optum/UHG spanning payer, pharmacy, and provider
$1B+ Startup Exit
Scaled Surest — acquired by UnitedHealthcare
35,000+ Deployed
Contact Center Advocates deployed across payer and pharmacy operations
Advisory Services
Five high-accountability engagements designed for Boards, CEOs, executive teams, and investors operating in regulated healthcare environments.
Fractional Chief AI Strategy
Embedded executive-level AI leadership with a defined decision charter, direct access to your executive table, and a governance cadence that scales workforce strategy and institutional AI capacity.
- Defined AI executive charter and operating cadence
- Labor stabilization roadmap tied to capacity metrics
- Board-ready AI governance narrative
Enterprise AI Business Re-Architecture
Redesign revenue-critical workflows and competitive positioning around AI—building durable moats that compound over time, not pilots that expire at the next board cycle.
- Enterprise AI architecture aligned to revenue drivers
- Competitive positioning analysis and moat blueprint
- 2–3 execution-ready strategic initiatives with KPI frameworks
Governance & Fiduciary Risk Management
Board-defensible AI governance that satisfies fiduciary duty, withstands regulatory scrutiny, and enables delivery at the speed the market demands—without creating institutional liability.
- Board-ready AI risk register and governance charter
- Model risk and audit trail framework
- Regulatory compliance mapping — HIPAA, CMS, state frameworks
Production-Grade Delivery Frameworks
Independent oversight and delivery architecture that moves AI initiatives out of persistent pilot purgatory and into governed, measurable production—at healthcare-regulated scale.
- Production readiness assessment and launch governance
- Outcome scorecard tied to clinical and operational KPIs
- Vendor and SI oversight and accountability framework
Investor Diligence & AI Derisking
Independent technical and AI diligence for investors evaluating healthcare technology and AI-enabled targets—separating durable product and data advantages from fragile pilots, vendor dependencies, and undisclosed model risk before capital moves.
- Independent technical and AI risk assessment ready for the investment committee
- Clear view of what's durable IP vs. vendor-dependent or pilot-stage AI
- Regulatory and data-rights exposure mapped (HIPAA, CMS, model provenance)
Selected Engagements
View all →Investor Technical & Product Diligence
An investment team needed an independent read on a healthcare AI target's roadmap before the next board meeting.
- Every finding traced back to a specific piece of evidence — no unsupported claims
- 2-day turnaround available for time-boxed deal processes
Enterprise AI Governance & Execution
A scattered set of AI initiatives, owned by no one in particular, needed to become a governed, prioritized program.
- Maturity assessment broken down to the department and team level — not just an enterprise score
- Every priority leaves with a named owner and a next step
Executive Decision Facilitation
A leadership team needed to leave the room with AI priorities actually decided — not another deck to revisit next quarter.
- Built around a defined agenda and prework — not an open-ended workshop
- Half-day format; offsite preferred for maximum decisions made
Executive AI Upskilling
Leadership needed real, hands-on AI fluency — not a keynote they'd forget by next quarter.
- Hands-on, applied to use cases already active in the business — not generic AI 101
- Planning-committee prework removes tooling and access friction before the session starts
Employee AI Upskilling
Employees needed to understand what recent AI advances actually mean for their day-to-day work — as the on-ramp to real skill-building.
- Starts broad, then routes people into real active-learning programs — not a one-off talk
- Helps select or build the right resource rather than defaulting to generic content
Embedded Fractional Chief AI Officer
An organization needed one person who could translate customer reality into AI product decisions — and sit at the executive table to make them stick.
- Works both ends — direct customer/product discovery and a standing seat at the executive table
- AI roadmap prioritization done with engineering, not handed to them — features get built, validated, and tested together
Summit Evidence AI
Weekly audio briefings on responsible AI in healthcare
Strategy, governance, and evidence-based delivery — signal over hype. Free and premium tiers.
The Haupt AI consulting team operates under the Summit Evidence brand, providing enterprise artificial intelligence strategy, business management consulting, and custom technology research and development.
Common questions
CEOs, Boards, CIOs, Chief Compliance Officers, and executive sponsors inside healthcare payers, systems, and regulated enterprises. Engagements are designed for leaders who carry fiduciary accountability for AI outcomes — not for early-stage exploration or generic digital transformation.
You get direct access to one senior operator — not a partner who sells and an analyst who delivers. Every engagement is led by someone who has helped govern a $2.4B AI agenda, helped scale a $1B+ healthcare AI exit at Surest, and deployed production AI across tens of thousands of users in regulated environments. The perspective comes from having been the buyer, the builder, and the executive accountable for the outcome.
Most begin with a focused diagnostic — 3–5 weeks to map governance posture, AI portfolio, and strategic leverage — followed by a structured cadence to drive decisions, oversight, and measurable outcomes. Fractional leadership engagements run monthly with async support between sessions.
PHI remains within your approved environment and security boundary. Engagements follow least-privilege access, auditable workflows, and your existing compliance requirements. Governance design explicitly accounts for HIPAA, CMS, and state-level regulatory exposure.
Yes — including buy-vs-build decisions, vendor evaluation, SI oversight, and integration governance. A significant part of the value is protecting your organization from demo-only solutions that fail in production and vendor relationships that drift on scope and accountability.
For most organizations, the entry point is either governance posture or portfolio architecture — depending on whether the constraint is liability exposure or strategic misalignment. Common first engagements include:
- Board-level AI risk and governance framework
- Enterprise AI portfolio re-architecture
- Production readiness assessment for an active program
- Fractional Chief AI Strategy retainer
- Investor AI/technology diligence ahead of an LOI or close
Ready to architect your AI strategy with someone who has operated at every level of the stack?
Schedule a 15-minute strategy briefing or send a direct note — let's determine fit.