IT

Incident intake and escalation

Technology incidents enter through different channels and lose severity, ownership and escalation discipline during response.

Business problem

Technology incidents enter through different channels and lose severity, ownership and escalation discipline during response.

What teams see

  • Work waits between receive incident and validate affected service.
  • Owners reconstruct status from Generic webhook and Jira.

Why it happens

  • No shared state spans Generic webhook, Jira, Slack.
  • Decision and exception rules are applied inconsistently.

Why it becomes expensive

  • Capacity is consumed by coordination and rework.
  • Late exceptions weaken visibility and service quality.

Business outcomes

  • Shorter create post-incident task cycle
  • Fewer handoff and missing-information exceptions
  • Clear ownership from receive incident to create post-incident task
  • Inspectable decisions and recovery

Measurable KPIs

  • Turnaround time: Elapsed time from receive incident to create post-incident task.
  • Manual intervention rate: Share of items needing a person outside defined review conditions.
  • Exception age: Time unresolved exceptions remain without a completed action.
  • Successful completion rate: Share of valid workflow items completing without terminal failure.

How the workflow works

  1. Receive incident — Accept and identify the incident intake and escalation trigger. Generic webhook
  2. Validate affected service — Execute validate affected service with validated sample data and an auditable result. Generic webhook
  3. Apply severity rules — Execute apply severity rules with validated sample data and an auditable result. Jira
  4. Assign incident owner — Execute assign incident owner with validated sample data and an auditable result. Slack
  5. Notify responders — Execute notify responders with validated sample data and an auditable result. Generic webhook
  6. Escalate by time — Execute escalate by time with validated sample data and an auditable result. Jira
  7. Record resolution — Execute record resolution with validated sample data and an auditable result. Slack
  8. Create post-incident task — Execute create post-incident task with validated sample data and an auditable result. Generic webhook
  9. Audit and KPI update — Persist the execution outcome, audit facts and workflow measurement events. SEIDO execution store

Integrations and ownership

  • Generic webhook: Provide workflow input
  • Jira: Lookup and update context
  • Slack: Receive controlled outcome

Human responsibility: IT service owner

Failure and recovery

Generic webhook is temporarily unavailable.

Retry with capped exponential backoff; preserve the run and move it to the inspectable failure queue after the limit.

Required data for validate affected service is malformed or missing.

Stop downstream actions and show the missing fields, source evidence and correction action to the named reviewer.

The trigger or provider event is delivered more than once.

Return the existing execution identified by the idempotency key and do not repeat downstream business actions.

The human decision expires before completion.

Escalate to the configured substitute, retain the original request and record both expiry and reassignment.

When not to build this

  • Monthly volume is too low to justify integrating Generic webhook, Jira, Slack.
  • An existing configured platform already handles incident intake and escalation with adequate ownership and reporting.
  • Reliable source data or supported API access is unavailable.
  • No business owner has authority to define the decision and exception rules.

Related workflows