Leadership and execution for organizations that take AI seriously.
Three practices, one team. AI leadership partnerships for strategy, governance, and implementation. Technology leadership from executives who have run hospital IT. And focused engagements for organizations that want to start with one well-defined piece of work.
Ongoing AI leadership, not another AI project
Most organizations do not need another AI project. They need ongoing AI leadership, clear governance, disciplined execution, and a partner who can help them prioritize, implement, and scale over time. We serve as that partner, at the level of involvement the organization needs.
Every partnership starts with the operating model: who decides, what the risk controls are, and how outcomes are measured. Then we lead the work.
Strategic advisory
For leadership teams setting AI direction, prioritizing opportunities, and building governance before implementation. Executive advisory, roadmap development, governance and risk structure, vendor and platform evaluation.
Embedded AI leadership
A trusted extension of your leadership team that leads AI efforts, coordinates across teams and vendors, and maintains accountability. For the right organization this functions as a fractional Chief AI Officer.
Enterprise AI program
For organizations scaling AI across departments: program leadership, governance oversight, cross-functional initiative management, a performance review cadence, and expansion planning.
Interim and fractional CIO leadership from people who have held the seat
The gap between healthcare operations and IT is growing, and it shows up as frustration, silos, and wasted dollars. We have spent decades on the IT side of that gap as CIOs and technology executives, and we close it the way an insider would: with leadership, honest assessment, and a roadmap the team can execute.
Engagements range from a single assessment to an interim executive seat, and they are sized to the organization rather than to a template.
Interim and fractional leadership
- Interim and fractional CIO
- Fractional Chief AI Officer
- IT leadership coaching and team turnaround
IT strategy and governance
- IT strategic planning
- IT assessments and execution roadmaps
- IT governance
- M&A IT planning and integration
Delivery and optimization
- Technology rationalization and optimization
- IT cost reduction
- Contract negotiation
- System integration
Start with one well-defined piece of work
Some organizations begin with one bounded piece of work before expanding into a partnership. These engagements establish momentum, validate direction, or launch a high-priority capability within a defined operational context.
Each one has a fixed scope, a named deliverable, and a clear handoff. Any of them can convert into an ongoing partnership.
AI readiness and governance assessment
Where AI is already in use, what governance exists, where the gaps are against current law and standards, and a prioritized plan to close them.
Proof of value
Validate one strategic AI use case with a working prototype, impact analysis, and implementation roadmap. For organizations evaluating a broader partnership.
Department implementation
Deploy one production AI workflow with integration, enablement, and operating documentation, scoped to measurable outcomes within a single function.
Enterprise rollout
Launch multi-system AI capabilities across departments with governance, enablement, and a performance framework. For organizations ready to scale.
IT assessment
A current-state assessment of the IT organization, benchmarked against peers and regulatory requirements, with an execution roadmap sized to your budget and team.
Command Center walkthrough
A fifteen-minute architecture walkthrough of the Hospital AI Command Center for the CIO, compliance officer, and CMIO together.
Senior capability now, without standing up the whole function
Building an internal AI or IT leadership function takes hiring, governance, tooling decisions, and operating discipline. A partnership gives you senior capability immediately, without the fixed cost and delay of building it all on day one.
Leadership alignment
Every engagement begins with organizational priorities and clear success criteria before technical delivery starts.
Governance by design
Governance and risk controls are built into planning and implementation, not layered on after deployment.
Operators, not observers
The people advising you have held the CIO and AI leadership seats in healthcare and know what the job actually requires.
One partner, less fragmentation
Reduce the sprawl across vendors, initiatives, and internal stakeholders through a single accountable partner.
Measured outcomes
Continuous outcome tracking so leadership can see progress, adoption, and operational value.
Built for scale
Partnership models are designed to support expansion as capability matures across the organization.
Tell us where AI is headed in your organization
One of the founders reads every message and replies within two business days. We will tell you honestly whether a platform walkthrough, a leadership partnership, or a focused engagement is the right first step.