One governed environment for AI.
Move from scattered, unmanaged AI use to a single environment that is secure, compliant, and on your network, where your governance committee makes roadmap decisions from real data.
- Which models are available, and to whom
- The conditions under which each model can be used
- How the AI use policy is enforced and taught
- Which use cases to prioritize, based on real usage
What your AI governance committee needs, in one place.
Governance works when the rules, the tools, and the evidence live together. MultiModel brings them into one environment your committee can oversee.
A single environment
Replace scattered, unmanaged AI tools with one secure, compliant environment on your network.
Decide with data
Use real usage data to make roadmap decisions, instead of surveys and anecdotes.
Existing agreements
Offer the latest AI tools under your existing Microsoft data agreement.
Access control
Decide who can use which models, and under what conditions, with rules enforced automatically.
Consistent analysis
Get comparable results across models, so evaluations and decisions rest on the same footing.
Policy enforcement
Take your AI use policy from paper to real-time enforcement and training.
“The AI portal gives us one secure place to operationalize all our AI models while providing the granular tracking of AI use that we need.”
A policy your staff follow, and your committee can prove.
You likely have an AI use policy. Showing that it is followed is harder. MultiModel enforces the policy in real time and trains your staff on it as they work, while usage data gives the committee evidence for its next decision.
- Real-time policy enforcement in the portal
- Training tied to the same policy
- Usage data to guide the AI roadmap
Update your AI Use Policy and track user acceptance.
Every admin change is on the record.
Who changed a model, a group, or a policy, and when. The audit log gives your committee and your examiners a full history of how the AI program is run, not only how it is used.
- Timestamped log of administrative actions
- The actor and the subject of every change
- Kept alongside the prompt audit trail
View audit logs for system operations and user actions.
Governed AI pays off in the departments that carry the most risk. See compliance operations, audit response drafting, or the full picture in AI for banking.
AI governance: FAQ
Straight answers for CIOs, CISOs, and compliance officers evaluating AI.
Talk to usWhat does an AI governance committee get from MultiModel?
One governed environment for all AI use, instead of scattered tools and personal accounts. Your committee sets who can use which models and under what conditions, the platform enforces those rules automatically, and real usage data shows what your staff actually do with AI.
How does MultiModel turn our AI use policy into practice?
Your policy moves from paper to real-time enforcement and training. Rules are applied in the portal, and your staff see reminders tied to the policy at the moment they need them. Our AI use policy template for banks and credit unions is a good starting point, and AI training covers the staff side.
Can we use the latest AI tools under our existing Microsoft agreement?
Yes. MultiModel lets you offer the latest AI tools under your existing Microsoft data agreement, so the committee is not negotiating new data terms for every model. See AI guardrails for how the platform runs in your Azure tenant.
How do we decide which AI use cases to fund next?
With usage data rather than anecdotes. MultiModel shows which models and workflows your staff rely on, so your committee can prioritize the roadmap with evidence. AI measurement and reporting explains what you can track, and our use case library shows common starting points.
How does governance help with examiners?
Your examiners want to see that AI is governed like any other technology risk: a written policy, controlled access, and a record of use. A single governed environment gives you all three in one place. See SOC 2 compliance for audit and standards coverage.
Give your AI governance committee one place to work.
We'll show your committee how policy, access, and usage data come together in one governed environment, inside your perimeter.