Scenario
Model route launch
Verify fallback behavior, latency distribution, and policy hit volume before rollout expands.
Use cases
Built for operator decisions, not passive dashboards.
Each use case starts from a production question and ends with concrete evidence, affected routes, and a clear action path.
Scenario
Cost spike prevention
Detect pricing drift early and map exposure to active model routes before budget variance lands.
Scenario
Safety incident response
Connect blocked outputs, prompt context, and retry behavior into one incident timeline.
Scenario
Agentic workflow operations
Monitor multi-step agent runs with per-step permissions, tool-call outcomes, and guardrail verdicts.
Scenario
Vendor migration
Track release-note changes and reliability trends while traffic shifts between providers.
Scenario
Provider outage failover
Automatically redirect traffic from a degraded model endpoint to approved Bedrock or Vertex copies.
Scenario
On-call triage
Route operational updates with enough evidence to decide whether to contain, rollback, or proceed.
Scenario
Software factory governance
Standardize policy packs and permission models across many teams shipping AI features in parallel.
Scenario
Executive reporting
Share concise weekly digests that show risk posture, drift trends, and incident recovery speed.
Failure taxonomy
Understand the categories of AI system failures.
Cyiro helps teams classify and respond to different types of AI failures: provider issues, policy violations, cost anomalies, performance drift, configuration errors, and dependency changes - each with specific detection and remediation paths.
Case narratives
Real-world scenarios handled by Cyiro.
These narratives show how Cyiro detects, responds to, and resolves common AI operations challenges.
Case narrative
Permission denied → escalation → approve
An agent attempts to use a restricted tool. Cyiro blocks the action, logs the attempt with full context, and escalates to the appropriate team member. After review, the action is approved and the incident is documented for future policy refinement.
Case narrative
Provider outage → reroute → stabilize
Primary AI provider experiences downtime. Cyiro automatically detects the outage, reroutes traffic to pre-approved fallback endpoints, and notifies the operations team. Once the primary provider recovers, traffic is gradually shifted back with monitoring for any post-outage issues.
Case narrative
Cost drift → policy update → rollback
Unexpected cost spikes are detected from a model route. Cyiro alerts the team, provides cost breakdown by provider and usage pattern, helps update budget policies, and can automatically rollback to previous configurations if costs exceed defined thresholds.
Case narrative
Unsafe output → block → review
A model generates output that violates safety policies. Cyiro immediately blocks the response, logs the incident with full prompt context, and triggers a review workflow. The team can then analyze the violation, update policies if needed, and implement corrective measures.
Case narrative
Release note change → route impact
A provider releases API changes that could affect production routes. Cyiro detects the release note update, analyzes potential impact on active routes, and alerts the team with specific recommendations for testing and potential route adjustments before the changes take effect.
Case narrative
SLA breach → containment policy
Latency or error rates exceed defined SLOs. Cyiro automatically triggers containment policies, such as reducing traffic to the affected route, notifying stakeholders, and initiating failover procedures. The system continues monitoring until performance returns to acceptable levels.
Need a custom workflow?
We can tailor watcher and policy coverage to your production topology.
Share your current model routes, incident posture, and key provider dependencies. We will map where Cyiro should monitor first.