Every agent. Every model. One operating system.
Discover every agent. Route every request. Enforce every policy. Account for every dollar. Built for regulated enterprises and deployed where your data must stay: our cloud, yours, or fully air-gapped.
Agents
| Name | Status | Project | Environment | Owner | Risk tier |
|---|---|---|---|---|---|
| Fraud Alert TriageCustom · claude-sonnet-4.5 | Active | Customer Channels | Production | Cards & Payments | Critical |
| KYC Document ReviewCrewAI · claude-sonnet-4.5 | Active | Enterprise Platform | Production | KYC Operations | High |
| Digital Banking Chat AssistantAzure AI Foundry · gpt-4.1 | Active | Customer Channels | Production | Digital Banking | High |
| AML Alert InvestigatorLangGraph · claude-opus-4.5 | Active | Enterprise Platform | Production | AML & Financial Crime | Critical |
| Mortgage Underwriting AssistantLangGraph · claude-sonnet-4.5 | Active | Customer Channels | Staging | Mortgage Lending | High |
| Card Dispute TriageCrewAI · gpt-4o | Waiting for first call | Customer Channels | Development | Cards & Payments | Medium |
| Trade Surveillance AnalystCustom · claude-opus-4.5 | Kill switch on | Trading Systems | Production | Trade Surveillance | Critical |
Agents went to production faster than the controls around them.
Agents call models, tools and internal systems on their own. Policies written in documents don't stop a request, and dashboards built after the fact don't stop a bill.
No one knows the full list
Agents live in clouds, SaaS suites, Kubernetes clusters and developers' laptops. Inventories built from spreadsheets go stale in weeks.
Written policy isn't enforced policy
A rule against sending customer data to a model means nothing unless something checks every request, before the model sees it.
AI spend has no owner
Provider invoices arrive per account, not per agent, team or product. Finance can't allocate what it can't attribute.
From a new agent to audit evidence in four steps.
Click through the real screens with demo data: register an agent, watch a policy stop a request, see the cost land and export the record.
Register agent
- Name
- Card Dispute Triage
- Owner team
- Cards & Payments
- Project
- Customer Channels
- Environment
- Development
- Monthly budget
- $2,000
Audit log
| Time | Agent | Model | Decision |
|---|---|---|---|
| 14:02:11 | Card Dispute Triage | gpt-4o | Deny |
| 14:01:58 | Fraud Alert Triage | claude-sonnet-4.5 | Allow |
- Policy
- Card numbers stay out of prompts
- Mode
- Enforcing
- Reason
- Card number found in the prompt
- Provider call
- Not made
Costs
| Agent | Team | Tokens | Cost |
|---|---|---|---|
| Card Dispute Triagethis request, blocked | Cards & Payments | 0 | $0.00 |
| Fraud Alert Triage | Cards & Payments | 18,420 | $0.31 |
| KYC Document Review | KYC Operations | 42,905 | $0.74 |
Evidence pack
- Agent
- Card Dispute Triage
- Decision
- Deny
- Policy version
- v3, enforcing
- Recorded
- 14:02:11 UTC
Seven layers. One operating system.
Underneath is one control plane: one registry, one policy engine, one cost ledger and one audit trail. Each layer works on its own and gets stronger with the others.
Discovery and inventory
Find every agent in your clouds, AI platforms and SaaS suites, including the ones nobody registered.
Learn more ›Gateway and routing
The governed path for every model call: native APIs, four ways to connect, routing, fallbacks and MCP.
Learn more ›Guardrails and content controls
Mask personal data, block secrets and unsafe answers, and run your own guardrail vendors in the same path.
Learn more ›Policy and governance
OPA policies that move from monitor to simulate to enforce, with approvals, exemptions and compliance packs.
Learn more ›Cost controls and FinOps
Budgets checked before each call, negotiated prices, allocation and chargeback for every token and GPU-hour.
Learn more ›Observability and audit
Run traces, every policy decision, change history and signed evidence packs, exported to your SIEM and data lake.
Learn more ›Control Center and digital twin
The whole AI estate on one screen, from GPUs in the data hall to agents at work, with a 2D and 3D twin.
Learn more ›One platform
One identity model, one hierarchy, one policy engine, one cost ledger and one audit trail under all seven layers.
Platform overview ›Control happens before the model answers.
The Clovie gateway sits in the request path. It identifies the agent, checks kill switches, policies, budgets and guardrails, then forwards the request with your provider key, or stops it with a reason.
- One URL change. Agents keep their OpenAI or Anthropic SDKs and point at Clovie.
- Or no change at all. Zero-code routing through your DNS or proxy, or enforcement through the AI gateway you already run.
- Your call on failure. If a check can't run, continue with an alert or refuse, per organization.
How one request is governed.
From the GPUs in the data hall to the agents running on them.
The Control Center draws your data hall as a floor plan and in 3D, from the same facility model. Every rack is shaded by heat, load or power, hot racks are outlined, and each one links to the agents and spend it carries.
Product views with simulated telemetry. Simulated data is always labelled in the console.
Evidence from what actually happened.
Controls mapped to the frameworks your auditors, supervisors and security teams use, with evidence packs exported from real decisions.
- EU AI Act: EU Artificial Intelligence Act
- SOC 2: SOC 2 Type II trust services criteria
- NIST AI RMF: NIST AI Risk Management Framework
- ISO/IEC 42001: ISO/IEC 42001 AI management system
- OSFI E-23: OSFI Guideline E-23, model risk management (Canada)
- OWASP Top 10: OWASP Top 10 for LLM applications and agentic AI
Built to fit the enterprise you already have.
- 4
- ways to connectEndpoint, zero-code, front door or Copilot
- 9
- connectorsClouds, Kubernetes, providers and SaaS
- 9
- AI gatewaysThe ones you run, plus OpenTelemetry
- 13
- guardrail optionsYour vendors or your own webhook check
- 5
- compliance packsMapped controls and signed evidence
- 4
- deploymentsSaaS or VPC, on-premises or air-gapped
A control plane you can place anywhere.
The console, policy engine, registry, cost ledger and audit trail form the control plane. Gateways form the data plane, and they can run next to your agents.
Control plane and data plane. Gateways can run in Clovie’s cloud or next to your agents.
Same features wherever it runs.
Start in our cloud and move inside your network later, or start air-gapped. One codebase, the same signed images, a licence checked offline.
Bring your agents under control without slowing anyone down.
Connect one agent, add a policy in monitor mode and find its audit record. Then decide what to enforce.