AI Workflow Pilot Planning Tool

Plan a bounded AI pilot before giving a system live access. Record the operational outcome, permissions, allowed actions, evaluation cases and recovery path.

Use the ai pilot planning pack Read the companion guide

A pilot plan, evidence record and review gate.

Enter your own evidence, or try the clearly labeled fictional example. Generate a report, print it or save an editable copy to reopen later.

Inputs stay in page memory and are not submitted to Regal Nexus Group. Work is not saved automatically. Save an editable copy before leaving and store downloaded business information deliberately.

Prepared by the Regal Nexus Group editorial team. Version 1.0 · 21 October 2026.

The interactive tool needs JavaScript. Read the method and example below, or use the printable checklist.

Plan an AI pilot with boundaries

Define the operational outcome, data permissions, allowed actions, tests and recovery plan before live implementation.

You will create: A pilot plan, evidence record and review gate. Read the companion guide.

Outcome and accountability

Workflow and pilot boundary

Required.

Pilot owner

Required.

Success metric

Required.

Current baseline and measurement source

Required.

Target and measurement period

Required.

Person who authorizes the pilot

Required.

Data and action boundaries

Permitted data, systems and provider handling

Required.

Allowed reads and writes

List exact systems and actions; identify prohibited actions.

Human approval points

Specify who approves, what they see and what cannot proceed without approval.

Are data permissions confirmed?

Required.

Are approval boundaries confirmed?

Required.

Test and recover

Representative test cases

Include normal work, missing/conflicting data, duplicate triggers, failures and untrusted instructions.

Test outcome

Required.

Observed results and evidence

For an untested plan, state what will be measured. Do not invent results.

Stop conditions and monitoring owner

Required.

Rollback and manual fallback

Who stops the pilot, restores state and reconciles incomplete work?

Are recovery ownership and fallback confirmed?

Required.

Review date

Required.

Proposed next decision and remaining conditions

Required.

How this tool works

Define the workflow boundary, baseline, success metric, target period and accountable approver.
Record allowed data and actions, approval points, normal and edge cases, untrusted-input tests, monitoring, stop conditions and rollback ownership.
Unconfirmed permissions, approval boundaries or recovery produce a control-gap result. Untested plans require evaluation; failed tests require revision. Passed tests lead to a documented review, never automatic authorization.

A worked example

The fictional request-routing pilot suggests categories in a review queue. It sends no replies and changes no production records. A reviewer approves routing after the evaluation set has been run.

Questions before you use it

Does a passed review gate authorize live AI actions?

No. A named accountable person must approve access and consequential actions after reviewing evidence and controls.

What should the test set contain?

Include representative normal work, missing or conflicting information, duplicate events, failure cases and untrusted instructions in incoming content.

Download the companion checklist (PDF) · Read the full guide

Review my AI pilot plan

Bring your pilot plan to a free 30-minute assessment. Discuss the workflow boundary, tests, ownership and the implementation conditions that remain unresolved.

Review my AI pilot plan

Your inputs and report are not sent automatically when you open the booking page.

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