AI Governance: which data goes into the models and who is accountable
For C-level, Operations, Transformation, IT and Procurement at B2B corporations and subsidiaries of multinationals.
Do you recognize any of these situations?
- 01
Shadow AI
Each area adopted AI tools on its own, with different criteria and no standard for which data can go in.
- 02
Policy not implemented
The corporation issued an AI policy that local operations have not yet implemented.
- 03
Siloed pilots
AI and transformation pilots move forward with no owner and no measurable return.
- 04
No documented response
If a customer, an auditor or a lawyer asks who is accountable for an AI data incident, there is no answer.
Protected data matrix: which data goes into which tool, by area
Illustrative example| Area | Customer data | Intellectual property | Financial information |
|---|---|---|---|
| Engineering and R&D | Prohibited | Prohibited | Restricted |
| Operations | Restricted | Prohibited | Restricted |
| Procurement | Restricted | Allowed | Prohibited |
With a designated owner and an incident response protocol for each cell. The matrix is an illustrative example of the deliverable, not client data.
Governance first, then technology
If operations or governance are fragile, fix them first. AI comes in where there are rules, an owner and a metric.
What it includes
-
Exposure map
By area and data type: what goes into which tool.
-
Usage policy
With a protected data matrix.
-
Owner and protocol
Designated owner and incident response protocol.
-
VMO roadmap
180 days, prioritized by ROI.
Adoption by profile with usage measurement, an authorized internal environment and tracking of captured value.
From public models on personal phones to an authorized internal environment
- R&D area with no AI strategy or owner.
- Shadow AI: free LLMs from personal phones, with no criteria for writing prompts or evaluating answers.
- Generational resistance; IT with no security policy.
- Maturity diagnosis and AI alignment workshop.
- Prioritization of processes suited to automation.
- Separate teams for those who design prompts and agents and those who evaluate them.
- Approved roadmap of 12 processes prioritized by ROI, benefit and effort.
- Authorized internal LLM environment, built with IT, which replaced the use of public models.
- AI integrated into the competency matrix; maturity from level 1 to 3.
Scope: one R&D area. Governance case, no financial figure. Client anonymized.
We only move forward if there is executive sponsorship and a designated internal owner.
Let's start with a viability assessment
Free 60-minute Discovery. We move forward if there is an executive with authority and budget to decide, and a designated internal owner.