01Solutions
The same control plane, read by different teams.
An AI engineer needs traces. A security engineer needs policy and evidence. A CTO needs to know what is in production and what it costs. Those are views of one system, not four products.
02By team
AI Engineering
Runtime visibility and debugging
Traces for every agent run, with model calls, tool calls, span durations and the policy decision that applied.
Platform Engineering
Infrastructure control and reliability
Environments, API surfaces, telemetry pipelines and a deployment architecture that fits existing cloud practice.
Security Engineering
Policy, permissions and evidence
Policies evaluated before an action leaves the boundary, permissions per tool, and an append-only audit record.
Finance Operations
Control over financial actions
Thresholds, approval routing and per-agent cost attribution for actions that move money.
Customer Operations
Safe autonomy in support
Let routine resolutions run automatically and hold the consequential ones for a human, with context attached.
Enterprise AI Leadership
Adoption with governance
One inventory of production AI, its operating cost, its risk classification and its decision history.
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17Use cases
Where control matters.
Five operations where an AI action has a consequence. Each row shows the path an action takes and the capability that holds it.
19Scenario index
Each scenario ends in the same place: an audit event.
- AI Support OperationsCustomer request → Support agent → CRM lookup → Refund API → Policy → Approval → Audit
Open scenario - Finance OperationsInvoice event → Finance agent → ERP read → Payment write → Policy → Approval → Audit
Open scenario - Developer OperationsIssue event → Dev agent → Repository read → Pipeline action → Policy → Audit
Open scenario - Enterprise ResearchResearch task → Research agent → Knowledge index → Data rule → Result → Audit
Open scenario - Internal AutomationTrigger → Automation agent → Internal tool → Policy → Action → Audit
Open scenario
Put a control layer around your AI systems.
Connect your agents, understand their behaviour, define their boundaries and operate AI systems with a clear audit trail.