Verdify

Worked example

Operations signal review and exception routing.

A realistic design for turning alerts, logs, forecasts, and work records into reviewable exceptions without giving AI hidden authority over physical systems, safety settings, or systems of record.

Source layer

Start with the records the workflow is allowed to trust.

A useful assistant needs approved sources, current ownership, access rules, and visible gaps before it can prepare work for review.

Approved alerts and event streams
Current operating state and work records
Asset and service ownership maps
Escalation and safety policy
Forecasts and known operating limits
Prior dispositions and reviewer corrections

AI may

Prepare work for accountable review.

  • Group related signals and identify likely duplicates.
  • Prepare a time-ordered summary with source links.
  • Flag missing context, stale signals, and conflicting state.
  • Suggest an owner from approved routing rules.
  • Draft a recommendation from documented options for review.

AI may never

Cross the authority boundary.

  • Control physical equipment or change safety settings.
  • Write authoritative state without a checked and approved path.
  • Suppress an alert because it appears inconvenient or duplicative.
  • Invent a cause, impact, or action unsupported by evidence.
  • Close an exception without the required disposition and owner review.

End-to-end workflow

Each handoff names the AI role, accountable authority, and evidence.

The example keeps uncertainty and exceptions visible. A plausible draft is never a substitute for an approved decision.

StepAI mayAuthority stays withEvidence captured
1. Collect approved signalsRead permitted alerts, logs, forecasts, work records, and operating context.System owners define source access, freshness, and authoritative state.Signal IDs, timestamps, source health, access, and freshness.
2. Group and contextualizeAssociate related signals, identify duplicates, and prepare a time-ordered summary.Operations owners confirm correlation rules and critical-context requirements.Grouped signals, correlation reason, missing context, and confidence.
3. Prepare an exceptionDraft the observed condition, likely impact, evidence, and possible next checks.A qualified reviewer determines whether an exception exists and how it is classified.Draft exception, sources, reviewer edits, severity, and disposition.
4. Route to the right ownerSuggest the accountable team and required review path from approved routing policy.The receiving owner accepts, reroutes, or rejects the handoff.Suggested owner, accepted owner, route time, reroute reason, and queue state.
5. Recommend controlled actionPrepare a recommendation within documented options and limits.People, policy, and control systems approve or execute consequential actions.Recommendation, option set, approval, executed action, and readback.
6. Capture dispositionSummarize the final cause, response, exceptions, and evidence gaps for review.Operations owners approve lessons and changes to rules, sources, or evals.Disposition, outcome, false-positive label, correction, and follow-up owner.

Example private evals

Judge the workflow against organization-specific review standards.

These evaluation categories show how workflow owners can set baselines, thresholds, review responses, and release gates before implementation.

EvaluationWhat it measuresWhat happens next
Signal grouping qualityWhether related events are grouped without hiding distinct incidents.Bad merges and missed relationships become evaluation cases.
Exception precisionReviewed true exceptions, false positives, and missed exceptions.Thresholds and context requirements change only through owner review.
Routing acceptanceWhether the proposed owner accepts the exception without avoidable rerouting.Reroute reasons update the ownership map and test set.
Evidence completenessWhether the handoff includes required sources, timestamps, context, and known gaps.Incomplete evidence blocks recommendation or routes to investigation.
Operating outcomeReview time, exception aging, accepted actions, and adverse effects without assuming causal lift.Observed outcomes support expand, tune, hold, or stop decisions.

Feedback loop

Review decisions should improve the next cycle.

The useful output is not only the prepared work. It is the record of corrections, exceptions, dispositions, and source gaps that makes future work easier to review.

A false positive, missed exception, or bad correlation becomes a labeled evaluation case.
A reroute updates the ownership map only after the accountable teams review the reason.
A missing timestamp, state readback, or source becomes explicit instrumentation work.
Final dispositions and adverse effects inform future rules and scope without becoming unsupported performance claims.

Apply the pattern

Have a similar workflow that needs a defensible next step?

Start with the sources, authority, review path, evaluation evidence, and outcome decision. Verdify can help determine whether an audit, knowledge pass, or workflow sprint comes first.