Advisory Services
Principal-led strategy without a full-time hire. Fractional leadership or focused consulting sprints on the decisions that matter most, grounded in the same discipline as our delivery work: deterministic, auditable models a CFO can underwrite.
Strategy that survives contact with your data
- A decision-first roadmap: which decisions to automate, in what order, and what each is worth, sized against your own data rather than a vendor's benchmark.
- A KPI framework in the language your board already uses: cost-to-collect, denial rate, A/R days, labor productivity, throughput, and close days.
- Vendor, data platform, and build-vs-buy guidance with cost discipline, from someone who has run these platforms rather than sold them.
- An AI adoption path your governance committee can clear: auditability, human-in-the-loop, and PHI boundaries designed in from the start.
- Stakeholder alignment and an operating model your own team can run after we step back.
Advisory findings feed straight into Delivery when you want the build done, with no re-discovery tax.
Engagement formats
Fractional leadership: 1-3 days per week for 3-6 months. Ongoing executive ownership with sprint-based cadence and weekly updates.
Consulting sprints: 3-4 week focused engagements. Clear scope, defined deliverables, and a recommendation you can act on.
AI Strategy Workshop: a fixed-scope, fixed-price entry point that identifies and prioritizes your AI opportunities and gives leadership a governance and ROI story to act on.
Good fit if
- You need data and AI leadership but not a full-time executive hire.
- Leadership wants measurable outcomes, not dashboard sprawl.
- AI is on the board agenda and you need a plan that clears compliance review.
- Current analytics feels reactive and you want it tied to margin.
Frame, decide, hand off
Frame
Stakeholder interviews and a current-state read of your data, systems, and economics. The output is the decision list, not a maturity score.
Decide
Roadmap, KPI framework, platform and vendor calls, and the governance story, sized and sequenced by return.
Hand off
An operating model your team runs, documentation that survives us leaving, and a clean transition into Delivery if you want the build done.
Common scenarios
Mid-market and rural health systems
Revenue cycle, operational improvement, and a right-sized analytics roadmap that stabilizes margin without adding headcount.
Enterprise and academic systems
AI and cloud strategy, research enablement inside your own walls, and the governance posture that gets programs through committee.
MSOs and physician groups
Back-office automation strategy, physician-compensation and close modernization, and bundled-payment or risk-contract opportunity sizing.
Start with the decision, not the org chart
Tell us the decision your organization needs to make with confidence, and we will recommend the lightest engagement that gets you there.