Ending an AI pilot aged care teams can trust means making a controlled decision to scale, pause or stop, then recording the reasons, evidence and next steps. A pilot should not drift into everyday use simply because the trial period ended or because staff have become familiar with the tool. Closing it well gives leaders a fair account of what was tested and what remains unknown.
This article focuses on the decision point at the end of a pilot, not a broad technology lifecycle. The practical question is whether the provider has enough relevant information to approve a limited next stage, pause while gaps are addressed, or stop the activity. None of those options is a failure when the record is clear and the care context remains central.
Set the End Decision Before the Pilot Starts
A pilot charter should name the decision-maker, duration, participating service or role group, permitted use, excluded use, success and stop criteria, records to collect, and a date for the end review. Define the options in advance: scale means authorise a specified next stage; pause means no further use while named questions are resolved; stop means withdraw access and close the pilot record.
Use criteria that fit the actual use case. If the pilot provides staff with policy answers, relevant evidence might include whether answers could be traced to current local documents, whether staff knew when to seek human advice, the types of questions asked, access issues, privacy concerns and feedback from participating roles. Do not turn a short pilot into a claim that a tool is safe or suitable for every workflow.
The AI and automated decision-making policy template identifies issues such as human oversight, resident rights and data governance that can inform a pilot charter. The guide to using AI tools responsibly in aged care is also useful for setting staff expectations about AI limitations and escalation. Both support planning; neither replaces the provider's own clinical, privacy, procurement or legal advice.
Collect Evidence That Helps a Real Decision
At the end of a pilot, collect only evidence that answers the approved questions. The register may include the participant list, training or briefing record, approved scenarios, output review samples, issues and incidents, changes made during the trial, support requests, feedback, system access logs where appropriate, and the final owner assessment. Record the source and date for each item.
Evidence should be proportionate and privacy-aware. Do not collect detailed personal information merely because the tool can produce it. The OAIC guidance on commercially available AI products advises organisations to consider due diligence, human oversight, privacy and security risks when selecting commercially available AI products. That is a useful reminder to document why each data point is necessary and who can see it.
If a pilot involves resident-related information, specify what may be entered, what must be excluded, and what happens if information is entered in error. Keep the response process separate from the end decision record so an incident can be assessed fairly rather than hidden to protect a project outcome.
Test the Actual Workflow, Not a Demonstration
A polished demonstration rarely answers whether a tool fits work at a busy service. Use a defined set of real, approved scenarios and compare them with the current process. Observe whether staff can find the right source, understand limits, obtain a human review where required and record the outcome. Include shifts and roles that reflect actual use, not only early adopters.
For a policy-query pilot, test whether the tool points to current facility material and whether staff can recognise when a question is outside scope. grounded AI in aged care explains why provider-specific policy context differs from a general internet answer. That distinction should be visible in the pilot design and in the final review notes.
Test results do not need to be dressed up as universal proof. A useful record can say, “In the approved scenarios at two services, reviewers identified that staff needed clearer instructions for escalation after an uncertain answer.” That is more decision-useful than a broad claim about quality or safety.
Use Scale, Pause and Stop Criteria Deliberately
Scaling is appropriate only when the recorded evidence supports the defined next stage and the accountable decision-maker accepts the residual questions. The scale decision should identify scope, conditions, owner, staff communication, monitoring period and the point at which the next review occurs. It may be sensible to scale to another small group rather than to every site at once.
Pausing is appropriate when information is incomplete or a manageable concern needs work before use continues. A pause record should state the reason, what access is suspended, who will address the issue, what evidence is required before reconsideration and when the decision will be revisited. A pause is a control, not a verdict on the people who ran the pilot.
Stopping is appropriate where the use case no longer fits, a material concern cannot be addressed within the approved scope, or the provider decides the expected benefit does not justify continued effort. Record the withdrawal steps, data and access actions, communication, contractual or vendor follow-up, and lessons for future proposals. Do not silently leave a stopped tool available to staff.
Hold a Structured End Review Meeting
Bring the accountable decision-maker together with the pilot owner and relevant clinical, quality, privacy, information security, workforce and technology advisers. Provide the charter, evidence register, issues log, participant feedback and a short options paper before the meeting. A structured agenda keeps the meeting focused on the approved decision rather than a sales demonstration or a post-hoc defence of the pilot.
- Confirm the pilot scope and any changes approved during the trial.
- Review evidence against each scale, pause and stop criterion.
- Consider unresolved risks, resource needs and affected people.
- Decide scale, pause or stop, including conditions and owner.
- Approve the written record, communications and next review date.
The Aged Care Quality and Safety Commission AI transparency statement provides an example of an organisation publicly describing its approach to AI adoption. For an internal pilot, the equivalent is a dated decision record that states the approach actually taken, rather than a vague statement that the trial was “successful”.
Preserve Lessons Without Hiding Disappointment
The lessons record should capture what helped, what did not work as expected, what staff asked, what changed in the workflow, and what should be different next time. Separate observations from conclusions. For instance, a higher number of support requests may reflect weak onboarding, unclear policy wording, a difficult interface or an unsuitable use case. The record should not guess at a cause without evidence.
Make the lessons accessible to people who assess future AI proposals. A short template can include the use case, setting, participants, evidence considered, decision, constraints, follow-up actions and reusable learning. This helps a group avoid repeating the same pilot in a new site without the previous context.
AI policy and evidence mapping describes a method of connecting policy and evidence material. At pilot end, use the same discipline to connect every major decision to a source record: the approved criterion, the observation, the reviewer and the action. This makes the outcome easier to understand later without claiming that the documentation itself resolves every uncertainty.
Close Access and Communicate the Decision
After a stop or pause, remove or restrict access as the decision requires, update local instructions, and tell participating staff what has changed. After a scale decision, communicate the authorised scope and what remains outside scope. Include the contact point for questions and incidents. Staff should not learn a pilot has ended by discovering a tool still available or a link that no longer works.
Where a product connects to policies or evidence, Governa Connect describes why permissions and the source material matter. Retain a controlled copy of the final pilot record even after access changes, with access limited to authorised people. A project folder full of unversioned notes is not a reliable end record.
Governa's aged care AI platform describes Governa as an aged care platform that connects policy and related information. Whatever platform is used, the end decision remains an accountable human decision. The benefit of a clear close is modest but real: leaders know what was tested, staff know what applies now, and future teams inherit a usable record rather than assumptions.
Related Resources
- risk management policy template
- quality improvement policy template
- AI and automated decision-making policy template
- using AI tools responsibly in aged care
- digital readiness checklist
- OAIC guidance on commercially available AI products
Common Questions About Ending an AI Pilot in Aged Care
1. What are the three end-of-pilot decisions?
The usual options are scale, pause or stop. Define each option and its decision criteria in the pilot charter so the final meeting can assess evidence against known expectations.
2. Does a successful pilot mean an AI tool can be used everywhere?
No. A pilot only provides information about its approved scope, participants and scenarios. A scale decision should state the next authorised stage and any conditions, rather than treating limited findings as a universal result.
3. What records should be retained when a pilot stops?
Keep the charter, evidence register, issue log, participant feedback, final decision, withdrawal actions and lessons record under the provider's controlled records approach.
4. When should a pilot be paused instead of stopped?
Pause when a defined question or concern may be addressed before a decision is reconsidered. Record what is suspended, who owns the follow-up and the evidence needed for a later review.
5. Who should make the final AI pilot decision?
Name an accountable decision-maker in the charter and seek relevant clinical, privacy, quality, technology and workforce input. Advice informs the decision; it does not remove accountability from the person with authority.
