Assist
Drafting, summarization, coding help, and internal research.
- Approved tools
- Basic review
- No sensitive inputs
RESPONSIBLE AI, BUILT FOR REAL DECISIONS
Put AI to work.
Keep humans in control.
A practical governance studio for teams adopting AI. Classify a use case, expose its real-world risk, and generate the minimum controls required before deployment.
Risk-basedHuman-accountableSecurity-firstVendor-neutral
LIVE ASSESSMENT
AI Use-Case Classifier
0 / 6 signals
THE CONTROL MODEL
Govern the capability,
not the hype.
The same model can be low-risk when summarizing a memo and critical-risk when given credentials to move money. Controls should follow what the system can access, decide, and execute.
Advise
Analysis that informs people but does not make the final decision.
- Output verification
- Logging
- Data controls
Decide
Systems affecting rights, opportunities, safety, or essential services.
- Named human owner
- Bias and impact tests
- Appeal path
Execute
Autonomous actions with financial, security, infrastructure, or physical impact.
- Explicit authorization
- Least privilege
- Kill switch
POLICY BASELINE
01
A human owns the outcome.
Every consequential system has a named accountable owner. “The AI did it” is never an acceptable explanation.
02
Access follows least privilege.
Models and agents receive only the data, credentials, tools, and time-bound permissions required for the task.
03
High-impact decisions are contestable.
People receive notice, meaningful explanation, and a path to human review when AI affects them.
04
Deployment is observable.
Teams log actions, monitor failures and drift, test security, and maintain a rehearsed incident response.
Designed to complement—not certify compliance with—recognized governance approaches.