Explicit inventory
Represent the exact service, version, model, provider, dependency, and lifecycle state.
Capacitas product
AI Observability
Traces, quality, drift, cost, latency, reliability, safety events, and audit records.
Overview
AI Observability connects intent to execution.
AI Observability is represented as a distinct capability family so availability, dependencies, evidence, and environment support can be evaluated without inheriting claims from another platform.
Discuss this productAI OBSERVABILITYMISSIONENVIRONMENTEVIDENCEOPERATIONS
Capabilities
A governed product record, not a blanket promise.
Environment-aware availability
State where the capability is offered by environment, region, deployment mode, and customer agreement.
Policy and identity
Tie access and execution to customer, workload, data, identity, and mission controls.
Evidence and operations
Record quality, performance, safety, incidents, changes, limitations, and owner-approved evidence.
How it works
Four steps from requirement to receipt.
Define
Capture workload, customer, data, environment, performance, and evidence constraints.
Qualify
Evaluate compatible capacity, dependencies, controls, and operating state.
Execute
Run only within the approved service and local operating envelope.
Reconcile
Preserve usage, decision, evidence, incident, and outcome records.
Use cases
Designed around eligible work.
Use case
Government deployment
Evaluate the capability against the exact environment, data, mission, and authorization record.
ExploreUse case
Federated operation
Coordinate eligible work across qualified capacity without erasing node-specific constraints.
ExploreUse case
Controlled adoption
Move from evaluation to pilot and production through explicit release gates and operating evidence.
ExploreNext step
Evaluate AI Observability
Map the product to the workload, environment, site, data, identity, evidence, and operating model.
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