OPEN SOURCE AI OPERATING MODEL
AI stalls in the in-between
AI initiatives don't fail because models break — they fail where ownership, governance, and value fall apart between idea and production. We're providing a proven AI Operating Model completely free and open source so you can learn where you benchmark in the model.
THE OPEN MODEL
What actually works
We codified what consistently worked: clear ownership, embedded governance, continuous value measurement. Then we made it public.
We didn't theorize this into existence.
We built it from patterns that consistently deliver results.
Foundation
Strategy alignment
Governance framework
Team enablement
Lifecycle
Plan → Build → Run
Clear stage gates
Defined handoffs
Artifacts
Shared templates
Role definitions
Process documentation
Value
Continuous measurement
Business alignment
Impact tracking
FREE RESOURCES
AI Operating Model Workbooks
Concrete templates, checklists, and frameworks that plug directly into your current workflow.
Start building your AI operating model today.
AI OpModel Foundations
Turn AI chaos into repeatable value
Define the people, processes, and platform patterns that eliminate bottlenecks, accelerate deployment, and deliver measurable business value.
Clear roles & responsibilities
Defined handoffs
Built-in compliance controls
Scope & Structure
Define clear boundaries
Without clear boundaries, AI operating models become ambiguous and ineffective. Define exactly where your model applies—and where it doesn't.
Defined scope
Clear end goals
Focused constraints
AI Life Cycle
Map your AI journey
Define how AI projects flow through your organization from idea to production deployment and ongoing maintenance with clear stage gates.
Stage definitions
Team handoffs
Definition of done
Use Cases & Value
Operationalize value delivery
Create clear, consistent frameworks that assess and deliver tangible, measurable impacts on the business from AI initiatives.
Clear prioritization
Structured business cases
Success criteria alignment
AI Governance
Integrate risk management
Establish an AI governance program that creates controls for managing each individual use of AI within your organization.
Policies & controls
Ongoing review & audit
Regulatory alignment
PROVEN INSIGHT
We've seen this
over and over
This isn't a hypothesis. It's an observed pattern across dozens of enterprise AI implementations.
AI doesn't fail because models break.
It fails where ownership, governance, and value fall apart between idea and production.
Enterprise-tested
Implemented AI operating models across Fortune 500 companies and growth-stage enterprises.
Cross-industry
Financial services, healthcare, retail, technology — the pattern persists across domains.
Maturity agnostic
Whether teams are starting or scaling AI, the breakdown occurs in the same places.