Find the waiting point in a handoff
Trace a recurring request through its review steps and a possible failure. Identify the information that can be prepared with assistance while keeping the actual approval and recovery owner visible.
An original hands-on example. Free to explore. This example runs in your browser; the optional AI guide below is separate.
A working local example. Your changes stay in this page until you choose to save, copy or download. No AI model is called.
A workflow you can inspect
A fictional internal request is ready for review. Walk through each step and retain human approval before acting.
- Weekly repetitions
- 5
- Baseline scenario
- 100 min/week
- Assisted normal-run scenario
- 100 min/week
- Illustrative difference
- 0 min/week
Step trace
- 1. Organize the request details
Ready in this simulation. Human step; 5 min baseline. Assistance can prepare a structured summary.
- 2. Check that required evidence is present
Human approval required. Human step; 4 min baseline. A person confirms that the evidence is sufficient.
- 3. Prepare the review record
Ready in this simulation. Human step; 3 min baseline. Consistent formatting can reduce re-entry.
- 4. Make the approval decision
Human approval required. Human step; 6 min baseline. Authority remains with the designated reviewer.
- 5. Update the agreed destination
Ready in this simulation. Human step; 2 min baseline. The approved result can be recorded consistently.
Recovery and ownership
- Before using a real workflow
Choose an owner, check inputs and permissions, and define a safe pause and retry path.
Assisted steps use an explicit 50% time assumption for this illustration; human steps retain full time. Failure recovery time is not estimated. This is not measured savings or a running automation.
For the moments like this.
A recurring request moves between several people, often returning because one detail was missing. The problem may be unclear inputs rather than slow reviewers. Explore a fictional process and inspect where assistance could prepare information, where a person must decide, and what should happen when the destination cannot accept the update.
What becomes possible
AI can help summarize a request and flag missing information, while approved automation can move structured records. Here you choose assistance points and inspect a sample normal run or failure with its recovery path. This sample traces an imagined handoff and a failure. Its timings are illustrative assumptions; no application is connected and no real automation runs.
Take the next little step.
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A little help, right here.
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Sources, capability notes and how this example works
This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.
Microsoft 2026 Work Trend Index ↗May 5, 2026 report; survey excludes nonusers of AI. Accessed September 11, 2026.
ChatGPT capabilities overview ↗Current writing, document, and explanation capabilities; no live model runs in these examples. Accessed September 11, 2026.
Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.