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.
Who it's for
Program sponsors, COOs, and technology leaders managing active AI initiatives that have stalled, drifted, or failed to cross the line from demo to deployment.
Top outcomes
- Production readiness assessment and launch governance
- Outcome scorecard tied to clinical and operational KPIs
- Vendor and SI oversight and accountability framework
Problems it solves
Pilots succeeding in demos — failing in productionGovernance and compliance surface never validated pre-launchVendor and SI programs drifting on scope and outcomesNo measurement framework tied to clinical or operational KPIs
Engagement formats
- Weekly/biweekly retainer during active delivery
- Fixed-scope phase engagement
- Day-rate for go-live readiness and launch sign-off
- Production readiness assessment and launch governance
- Outcome scorecard tied to clinical and operational KPIs
- Vendor and SI oversight and accountability framework
- Architecture and integration validation against regulatory constraints
- Program intake and outcome definition
- Architecture and governance gap review
- Steering and milestone cadence
- Vendor and SI accountability framework
- Production launch readiness certification
- Pilot-to-production conversion rate
- Time-to-live against baseline
- Outcome KPI achievement vs. pre-launch targets
- Reduction in post-launch escalations and rework
- Voice AI deployment oversight for payer contact center
- Clinical decision support launch governance
- GenAI rollout red-team and evaluation harness
- Pilots succeeding in demos — failing in production
- Governance and compliance surface never validated pre-launch
- Vendor and SI programs drifting on scope and outcomes
- No measurement framework tied to clinical or operational KPIs
Outcomes
- Production readiness assessment and launch governance
- Outcome scorecard tied to clinical and operational KPIs
- Vendor and SI oversight and accountability framework
- Architecture and integration validation against regulatory constraints
Process
Step 1
Program intake and outcome definition
Step 2
Architecture and governance gap review
Step 3
Steering and milestone cadence
Step 4
Vendor and SI accountability framework
Step 5
Production launch readiness certification
Success metrics
Pilot-to-production conversion rate
Time-to-live against baseline
Outcome KPI achievement vs. pre-launch targets
Reduction in post-launch escalations and rework
Example use cases
- Voice AI deployment oversight for payer contact center
- Clinical decision support launch governance
- GenAI rollout red-team and evaluation harness
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.