AI Operating Model & Governance
Roles, controls, escalation paths, and governance for AI that operates inside real business workflows.
Why this service
What Cortaris solves with it
Once AI touches more than one workflow, companies need operating logic. Who decides, who runs, who escalates, who documents. Without that model, scale fragments into isolated initiatives.
Who it is for
Best-fit context
For companies that need to scale AI safely without blurring ownership and compliance.
Typical triggers
When this service makes sense
Roles, controls, escalation paths, and governance for AI that operates inside real business workflows.
Unclear accountability
Security and compliance uncertainty
No operating logic for AI workflows
Scope
What is included
The work connects strategy, workflow design, governance, and implementation logic.
Role model
Governance model
Control framework
Observability and escalation logic
Operating cadence
Outcome
What becomes clearer
The focus is durable decision quality and operational follow-through.
Clear decision rights
Better risk control
Scalable operating frame
Deliverables
Concrete deliverables
- Role and accountability model across the AI value chain
- Governance and decision model aligned with risk and compliance
- Control framework with mandatory checks, logging, and audit points
- Operating cadence including run and escalation forums
- Stakeholder plan for legal, privacy, security, and the line
Engagement model
How an engagement unfolds
- 01 · 2 weeksBaseline
Review of existing structures, roles, controls, and cultural realities.
- 02 · 3 to 4 weeksModel design
Iterative development of the role model, governance model, and control framework with all relevant functions.
- 03 · 2 to 3 weeksAnchoring
Enablement, operating cadence implementation, and handover to sponsors and the line.
Questions
Frequently asked
How is the model different from an AI policy?
A policy describes what is allowed. An operating model describes how AI is decided, run, controlled, and improved every day.
Do you cover the EU AI Act and similar requirements?
Yes. Requirements from EU AI Act, GDPR, NIS2, and sector-specific regulation are built into the model without paralyzing operations.
Who keeps the model up to date?
We define explicit roles and reviews so the model does not die in PowerPoint but lives inside the operating cadence.
Can the model be tailored to a single business area?
Yes. Pilot and multi-business-unit designs are possible; the key is a clear separation between enterprise frame and local adaptation.
How do you collaborate with our IT and architects?
Cortaris involves IT and architecture leaders from day one. Platform decisions, data security, and integration patterns are shared rather than bolted on.
How is the engagement structured commercially?
Clear fixed-price or sprint models for strategy and assessment phases, time-and-material or fixed price for build, retainer for optimization. Scope and expectations are documented.
Which roles do we need to provide?
At minimum a workflow owner, an IT architecture lead, and a governance stakeholder. Sponsor and line leadership decide adoption.
Next step
Start with a clear, low-risk next step.
We assess which workflows are commercially relevant, technically feasible, and operationally realistic.