ScrinOps · AI-assisted incident response

Move from cloud alert to reviewed remediation.

Turn incidents into tracked, reviewable engineering work.

Connect cloud monitoring, incident evidence, engineering work, and AI assistance so teams can move from alert to diagnosis, proposed fix, and verified resolution without losing context.

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Production operationsCheckout API
Incident #1842
Evidence currentReview active
Controlled response

From signal to verified resolution

Revision 12
  1. 01Incident signal

    Service health changed

  2. 02Evidence ready

    Context assembled

  3. 03Diagnosis

    Likely cause identified

  4. 04Work item

    Engineering task linked

  5. 05Proposed change

    Change prepared for review

  6. 06Human review

    Decision required

    Current
  7. 07Verified resolution

    After approved delivery

5 stages completeResolution unlocks after review

Connect monitoring

Bring alerts, logs, and incident context together from connected cloud sources.

Investigate with AI

Focus AI assistance on the incident evidence to explain failures and suggest response options.

Create engineering work

Open GitHub issues, Jira tickets, and tracked response tasks automatically.

Prepare code fixes

Prepare reviewable pull requests while keeping human approval in control.

Reviewable response

A clear path from incident to verified resolution.

Follow the evidence, proposed change, and human decision in one connected view—then verify the outcome after approved delivery.

  1. 01Signal

    Service signal captured

  2. 02Evidence

    Context brought together

  3. 03Diagnosis

    Likely cause identified

  4. 04Work item

    Engineering task linked

  5. 05Proposal

    Change prepared

  6. 06Review

    Decision required

    Current
  7. 07Verified

    Outcome confirmed

Context preserved

The incident story stays clear from signal onward.

Review recorded

The decision and its evidence remain visible.

Outcome verified

Resolution is confirmed after approved delivery.

Review gate activeHigh-impact changes move forward only after approval.

Built for operations and engineering teams

AWS and Azure monitoring

Connect leading cloud monitoring services.

Ticketing connections

Create and update GitHub and Jira work without losing incident context.

Repository-aware fixes

Keep proposed fixes aligned with your repositories.

Human approval

Engineers stay in control with review and approval gates.

Clear operations history

Keep a complete record for review and compliance.

Reduce the distance between detection and resolution

Give operations and engineering teams one clear path from cloud incident to reviewed resolution.