The Product
A living AI operating model that evolves with the technology it governs. Not just ahead of regulators. Ahead of the technology curve itself. Four engines. Three edges. Continuous updates. Almost like software.
The Problem
Static governance breaks in a moving environment. The technology changes monthly. Regulations lag by years. Your operating model has to move with the technology, not wait for the regulators to catch up.
92%
have policies on paper
→
3%
say governance works in practice
The gap between policy and practice is where risk compounds. TEMPO closes it.
Sources: NAIC Health Insurer AI/ML Survey (2024–2025); HealthEdge 2026 Payer Survey
The Architecture
TEMPO is not a checklist. It is a system with four interdependent engines that keep governance operational, not theoretical.
Engine 1
Structured AI adoption with governance built in from day one. Use-case evaluation, risk-tiered approval workflows, and organizational readiness. Every new AI capability enters through a governed path.
Engine 2
Operational governance infrastructure: councils, RACI matrices, decision rights, policy frameworks, and accountability structures. Not documents that sit on a shelf. Operating systems that run every day.
Engine 3
Cross-functional coordination, training, role design, and change management. Governance works when the entire organization runs it, not just the compliance team. Orchestrate makes governance the operating rhythm.
Engine 4
Continuous alignment with evolving regulations, standards, and organizational needs. TEMPO watches the regulatory horizon, maps incoming changes to your governance structure, and updates before mandates land.
The Control Layer
Edges connect the engines and enforce the operating rhythm. They are the feedback loops that prevent governance from drifting.
Controls the pace of AI adoption. Too fast and governance cannot keep up. Too slow and shadow AI fills the gap. Throttle calibrates adoption velocity to governance capacity.
Sets the governance cadence. Review cycles, audit schedules, council meetings, reporting rhythms. Clock ensures governance operates on a regular beat, not in crisis-response mode.
Scans the regulatory and technology horizon. New standards, new risks, new capabilities. Radar feeds the Adapt engine so your governance evolves before mandates arrive.
The Journey
TEMPO's maturity model is not a scorecard. It is a navigation system. Each stage tells you where you are, what to build next, and which BDC service gets you there.
Stage 1
Establish the beat. Basic governance awareness, initial AI inventory, foundational policies. You know what exists and what is ungoverned.
Entry: AI Readiness Assessment
Stage 2
Write the rules. Governance structures operational, councils running, RACI defined, risk frameworks in place. The system has a score to follow.
Built by: Agentic Architecture + Enablement
Stage 3
Play together. Cross-functional governance operating smoothly. Teams coordinate. Governance is embedded in workflows, not bolted on.
Sustained by: AI Enablement
Stage 4
Full orchestration. Governance adapts continuously. Regulatory changes absorbed automatically. The operating model runs itself.
Powered by: TEMPO Adapt engine
The Ongoing Relationship
Project work builds the foundation. TEMPO as a managed service keeps it current. Continuous governance operations, regulatory monitoring, and technology adaptation delivered as an ongoing retainer.
Project Work
Strategy, Data Governance, AI Governance, and Enablement engagements build your governance infrastructure. Fixed scope, fixed price, defined outcome. You own the result.
Managed Service
TEMPO's Adapt engine runs continuously. When AI capabilities change, your governance updates. When new regulations land, your frameworks absorb them. When new risks emerge, your operating model responds. Like a software subscription for your governance stack.