Use mapping
Tools, teams, data, decisions, outputs and dependencies.
DOSSIER 1101
Operational AI governance
Give teams freedom to use AI without making data, decisions and accountability invisible.
Operational briefPOLICYreadable rules
RISKclassified uses
HUMANclear accountability
Operational brief
Govern use, not only the tool.
Risk appears in real practices: copying data, delegating a decision, publishing without control or depending on a supplier. Governance must be understandable, testable and usable every day.
AR / DOSSIER 1101INDEPENDENT ANALYSIS
CONTROLLED SYSTEM
Automation remains a responsibility.
Sources, permissions, evaluation, validation, logs and stopping conditions are designed with the system. Performance matters only while data, decisions and reversibility remain governable.
02 / Intervention areas
Intervention areas
Risk classification
Impact, sensitivity, autonomy, recipients and correction potential.
Usage policy
Authorised, supervised and prohibited actions plus traceability duties.
Evaluation
Quality, robustness, bias, security, cost and out-of-scope behaviour.
Human control
Validation points, required skill and authority to stop.
Incident management
Detection, shutdown, evidence preservation, notification and correction.
03 / FIELD NOTES
When governance becomes necessary
As soon as use moves beyond individual experimentation and touches data, clients or decisions.
01SPREAD
Tools already everywhere
Teams use multiple assistants without a common framework or inventory.
02AUTOMATION
External actions
A system can publish, send, modify data or trigger a process.
03DATA
Sensitive information
Prompts or documents contain personal, strategic or contractual material.
04SUPPLIER
Growing dependency
An important function relies on a model, API or terms that may change.
04 / OUTPUTS
Governance framework
Short rules, a maintained register and concrete evaluation are better than an unusable charter.
Use register
Purpose, tool, owner, data, risk and status.
AI policy
Principles, allowed cases, prohibitions and validation duties.
Risk matrix
Common criteria and proportionate control levels.
Supplier sheet
Data, retention, jurisdiction, security, cost and reversibility.
Evaluation protocol
Test sets, thresholds, critical failures and frequency.
Incident plan
Shutdown, escalation, evidence, correction and lessons learned.
05 / Method
Usable governance
The framework is designed with users, tested on real cases and reviewed as tools or risks evolve.
- 01Inventory uses
- 02Name owners
- 03Classify data
- 04Assess risk
- 05Define validation
- 06Test systems
- 07Train users
- 08Review periodically
06 / FAQ
Frequently asked questions
Clear answers on scope, limits, methods and engagement conditions.
Should public tools be banned?
Not systematically. Uses and data should be classified, with suitable alternatives.
Who owns governance?
Shared responsibility with one accountable decision-maker and business, technical and security owners.
Is a policy enough?
No. It needs inventory, controls, evaluation and an incident mechanism.
How are changing models managed?
Through regular tests, version monitoring and reassessment thresholds.
Does human review guarantee quality?
Only if the person has the time, skill and information needed.
Can personal data be used?
Depending on purpose, legal basis, contracts, security and applicable rules; specialist analysis may be needed.
How do you avoid blocking innovation?
Concentrate controls on risky uses and provide safe paths for experimentation.
08 / CONTACT
Open a private channel
State the context and objective. You will receive a clear initial reading.