Type it, done.
Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.
Connect ServiceNow and PagerDuty — AI-native workflow automation
Build multi-step AI automations that flow through ServiceNow and PagerDuty — and chain in 1000+ other apps when the workflow needs them. One instruction, many steps, every API call run by AI. No code, no flowcharts, self-healing.
ServiceNow and PagerDuty are two anchors of a much bigger automation. Definable Workflow chains your dev workflow, your dev workflow, and as many other tools as the job needs into a single multi-step flow — built, executed, and verified by AI. Describe the outcome; Workflow plans the steps, runs every API call, branches on conditions, fans out in parallel where useful, retries on failure, and self-heals when an upstream API shifts shape.
What you can automate between ServiceNow and PagerDuty
6 ways to automate ServiceNow + PagerDuty
- When a pull request opens in ServiceNow, file a tracked issue in PagerDuty
- When a build fails in ServiceNow, post a status update in PagerDuty
- When a pull request opens in PagerDuty, file a tracked issue in ServiceNow
- When a build fails in PagerDuty, post a status update in ServiceNow
- When a new issue is filed in ServiceNow, kick off a follow-up job in PagerDuty, and log the result in a structured record for team review
- When a deploy completes in ServiceNow, page the right responder in PagerDuty, then send a notification to the assigned owner with the full context
Most automation tools run code. Workflow runs on AI.
AI builds it AND runs it.
Other platforms use AI to generate brittle code that runs offline. Workflow's entire execution layer is AI — it interprets, decides, and acts step by step.
Self-healing by design.
Every step is monitored by a verification layer. If something fails — a rate limit, an unexpected response, a skipped condition — Workflow detects it, corrects it, and reruns automatically.
Cross-tool orchestration.
Multi-step, event-driven, condition-based flows across ServiceNow, PagerDuty, and 1000+ other tools — all from one instruction.
How Definable Workflow automation works — step by step
- 1
Describe your workflow
Type what you want to happen between ServiceNow and PagerDuty. No setup wizard.
- 2
Workflow builds it automatically
Definable maps your instruction to the right actions across both tools. You see the plan before it runs.
- 3
AI executes every step
Workflow runs end-to-end. It calls ServiceNow, processes the data, applies your conditions, and fires the PagerDuty action.
- 4
The verification layer monitors everything
Every step is verified. If something fails, Workflow catches it, adjusts, and retries — without you lifting a finger.
Example workflow
Trigger
When attach file to record in ServiceNow
Condition
If the ServiceNow record meets your field conditions
Action
Retrieve log entry by id in PagerDuty
Verified
Workflow verified all steps completed successfully.
Frequently asked questions
What can I automate between ServiceNow and PagerDuty?
Anything you can describe. Workflow connects ServiceNow (your dev workflow) and PagerDuty (your dev workflow) through a single instruction. Examples: when a pull request opens in ServiceNow, file a tracked issue in PagerDuty; when a build fails in ServiceNow, post a status update in PagerDuty. There's no limit to step count or branching depth.
Do I need to write code to connect ServiceNow and PagerDuty?
No. You describe the outcome in plain language and Workflow assembles the steps, authenticates both tools, runs the flow end-to-end, and self-corrects if anything fails.
What happens if ServiceNow or PagerDuty returns an unexpected response?
Workflow has a verification layer on every step. If a response is malformed, an API rate-limit hits, or a condition is unmet, Workflow detects it, adjusts, and reruns the step automatically — without breaking the flow.
How is this different from drag-and-drop automation tools?
Most automation tools generate static workflows that run brittle code. Workflow is AI-native: the execution layer interprets each step at runtime, so it adapts when ServiceNow ships an API change or PagerDuty returns a new field shape. You don't maintain it.
How long does it take to set up?
Minutes. Authenticate ServiceNow and PagerDuty, type what you want to happen, review the plan Workflow generates, and start running.
Your workflows. Built by AI. Run by AI. Fixed by AI.
Stop maintaining automations. Start describing outcomes. Workflow handles everything between ServiceNow, PagerDuty, and your entire stack.