AI Evidence Plane
Discuss one workflow

AI Operations

Operate AI workflows by outcome—not model calls.

Track quality, reliability, latency, token cost and remediation across every production run.

Follow an incident Discuss one workflow

Operational signals become useful when they connect to the workflow, decision and outcome behind them.

Operational view centred on one production workflow, with connected outcome signals and traces.
  • Claims review workflow
  • Attention required
  • Outcome success
  • Evaluation quality
  • p95 latency
  • Cost per successful outcome
  • Human review
  • Contained run
  • Execution Trace
  • Governance Trace
  • Evidence Graph
  1. Claims review workflowProduction run under observation.
  2. Attention requiredOutcome, quality, latency, cost and review signals are connected.
  3. Affected workflow instanceThe alert points to one run, not a generic model call.
  4. Trace bundleExecution Trace · Governance Trace · Evidence Graph

Model telemetry shows that something changed. Connected evidence shows where, why and what followed.

Relate operational change to the exact workflow instance, configuration, governance decision and outcome.

Explore Connected Evidence

Workflow-Level SLOs

Measure whether the workflow delivered the intended outcome.

Define objectives around successful completion, evaluated quality, latency, cost, approval and remediation.

Three-level SLO hierarchy where supporting signals explain workflow SLOs and workflow SLOs support business outcomes.
  • Business outcome
  • Successful outcome
  • Action completed
  • Human review completed
  • Workflow SLO
  • Completion
  • Evaluation pass
  • p95 latency
  • Cost per outcome
  • Remediation rate
  • Supporting signals
  1. Business outcomeSuccessful outcome · Action completed · Human review completed
  2. Workflow SLOCompletion · Evaluation pass · p95 latency · Cost · Remediation
  3. Supporting signalsAgent binding · Agent execution · Model call · Tool action · Policy · Approval · Tokens
  4. Connected evidenceSignals explain the workflow objective.

Operate the workflow the business depends on—not isolated technical calls.

Alert To Evidence

Move from a signal to the affected run.

Follow an SLO breach to the workflow instances, configurations and decisions behind the change.

Incident investigation flow from an SLO breach through affected workflow instances, traces, evidence graph and accountable owner.
  • SLO breach
  • Affected workflow instances
  • Observed configuration
  • Execution Trace
  • Governance Trace
  • Evidence Graph
  • Investigation context
  • Responsible owner
  1. SLO breach
  2. Affected workflow instances
  3. Observed configuration
  4. Execution Trace
  5. Governance Trace
  6. Evidence Graph
  7. Investigation context
  8. Responsible ownerApplication, platform, reliability or risk owner.
Owner categories
  • Application owner
  • AI platform team
  • Reliability team
  • Risk or policy owner
Notification carries
  • Workflow
  • Affected run
  • Severity
  • Evidence link
  • Required action

An alert should lead to evidence—not another disconnected dashboard.

Governed Recovery

Remediate without creating a second incident.

Contain the affected path, apply an approved remediation, re-evaluate and restore only when the workflow passes.

Governed recovery state loop where pass restores the governed path and failure remains contained.
  • Detect
  • Contain
  • Select approved remediation
  • Apply remediation
  • Re-evaluate
  • Verified recovery
  • Restore governed path
  • Remain contained
  • Recovery authority
  1. Detect
  2. Contain
  3. Select approved remediation
  4. Apply remediation
  5. Re-evaluate
  6. Pass: verified recoveryRestore governed path.
  7. Fail: remain containedReview or repeat approved remediation.
Approved remediation profileRequired human approvalPermitted rollbackRe-evaluation threshold

Contain first. Change under authority. Prove recovery.

Token And Model Economics

Track cost against successful outcomes.

Compare token use, latency and model cost with evaluated quality—not requests alone.

Two production configurations compared through a quality threshold before cost per successful outcome.
  • Configuration A
  • Model and prompt version
  • Token consumption
  • Latency
  • Evaluation result
  • Quality threshold
  • Cost per successful outcome
  • Configuration B
  • Model and prompt version
  • Token consumption
  • Estimated model cost
  • Successful outcome
  1. Configuration AModel, prompt, tokens, latency and cost context.
  2. Quality threshold
  3. Outcome economics
  4. Configuration BCompared against the same quality requirement.
  5. Quality threshold
  6. Outcome economics
  7. Comparison decisionQuality must pass before cost decides preference.

Quality threshold must be met before cost comparison determines preference.

Explore Build & Release

The lowest token cost is not economical if the workflow fails.

Accountable Operations

Send the right signal to the right owner.

Route reliability, quality, policy, cost and remediation events with the evidence needed to act.

SignalsReliability breachEvaluation failurePolicy eventCost anomalyRemediation required
Accountable ownersApplication ownerAI platform teamReliability teamRisk or policy owner
Evidence and actionWorkflowAffected runSeverityEvidence linkRequired action
  1. SignalReliability breach · Evaluation failure · Policy event · Cost anomaly
  2. Accountable ownerApplication · Platform · Reliability · Risk
  3. Evidence and required actionWorkflow · Affected run · Severity · Evidence link

Designed To Enable

  • Earlier detection
  • Faster investigation
  • Controlled remediation
  • Cost visibility
  • Verifiable recovery

Design-Partner Pilot

Bring one production workflow.
Leave with an operating model.

Define its SLOs, alert conditions, evidence path, accountable owners and recovery authority.

Discuss one workflow