ClovieSolutions
Built for regulated industries and the people who answer for AI.
The same platform, configured with policy packs for your regulators and views for your role.
By industry
Controls written for your regulators, ready to install.
Each industry page shows the controls in its packs, the rules they are mapped to and how Clovie fits where you run.
12 controls
Banking and capital markets
US and Canadian bank policy packs.
Explore ›6 controls
Insurance
Claims, underwriting and fairness.
Explore ›6 controls
Telecom and media
Subscriber data, SIM swaps, network changes.
Explore ›6 controls
Public sector
Isolated networks, offline licences.
Explore ›6 controls
Energy and critical infrastructure
Agents near operational technology.
Explore ›6 controls
Healthcare
PHI, clinical oversight, patient safety.
Explore ›6 controls
Cyber security
Security teams and security providers.
Explore ›Any industry
Your own policies
Start from NIST AI RMF, EU AI Act or OWASP packs.
Policy engine ›By role
One platform, four jobs.
Stop unsafe AI before it acts.
- Shadow agents found by discovery and by keys rejected at the gateway.
- Kill switches for one agent or all of them.
- Key misuse alerts when a key is used from the wrong network or client.
- Risk signals to Microsoft Defender XDR or any SIEM.
Questions you can answer
- Which AI identities call models without going through the gateway?
- Which requests did policy block this week, and why?
- Who turned a policy on, and on what evidence?
Is our AI estate healthy, safe and worth what it costs?
- Control Center executive view across infrastructure, models, the front door and agents.
- One operating system instead of a gateway, a guardrail tool and a spreadsheet inventory.
- Deployment choice that meets your sovereignty rules.
Your weekly check
- Approved model usage and gateway coverage
- Budgets on track
- Compliance score and open incidents
Every token and GPU-hour, attributed.
- Negotiated prices applied to live costs, with past usage repriced.
- Budgets with alerts, throttles and hard stops for organizations, teams and agents.
- Allocation and statements: cost categories, shared-cost splits, monthly chargeback.
Unit economics
- Cost per request and per million tokens
- Cost per successful agent run
- Idle GPU cost in the Control Center
One governed path, without slowing teams down.
- One URL change per agent, or zero-code routing.
- Model catalog, routing and fallbacks across frontier and self-hosted models.
- MCP servers and tools registered and governed.
- Shadow tests to try a model on copies of real traffic.
Developer experience
- Governed coding agents from the first request
- Python SDKs and a command-line tool
- Platform API for everything in the console
Govern AI the way your regulators expect.
We'll show the packs for your industry on your own agents.