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AI Change Management

Plan AI changes with the people doing the work

Yes AI can help your team define the change, involve affected staff and prepare a reviewed pilot. Agree responsibilities and support before rollout, then use evidence from the pilot to decide what happens next.

30-minute consultation: free for businesses with 20+ full-time staff; otherwise AUD200 including GST.

What the workflow can include

01

Understand the work and its consequences

Map the task as it is performed today, including informal checks and exception handling. Ask affected staff what should improve and what must be protected. Record changes to responsibilities and decisions that need management or specialist review.

02

Prepare communication and practice

Explain the proposed scope, its limits and how staff can raise an issue. Build training around representative tasks, unsuitable outputs and the fallback process. Agree time for practice and ways to check understanding without treating course attendance as proficiency.

03

Run a limited pilot with review points

Select a workflow and participants with clear permission to use the required data. Record a baseline and acceptance checks. Review errors, rework and staff experience alongside usage. Keep a route to pause or change the pilot when the evidence warrants it.

04

Hand over ongoing responsibility

Document the approved process and identify who maintains instructions, access and support. Agree how new staff are introduced and how changes are reviewed. Set a review schedule that fits the work rather than assuming adoption will continue without support.

Build a discussion checklist

Tick topics you have discussed and use the remaining prompts at your next planning meeting. This is a local checklist, not an assessment of readiness. Selections reset when the page is reloaded.

Topics discussed with the responsible people

0 of 8 topics marked as discussed.

Still to discuss: Named sponsor, Affected roles, Staff consultation, Current workflow, Training time, Safe fallback, Pilot measures, Ongoing ownership.

Agree the scope before connecting data

Start with a defined workflow and representative examples. The proposal should identify the software, responsibilities, access and acceptance checks. Delivery time and price depend on that scope.

  • Name the workflow, affected roles and sponsor who can approve or pause the pilot.
  • Agree staff consultation, training access and a working manual fallback.
  • Define a baseline, quality checks and how staff feedback affects decisions.
  • Separate the initial plan, implementation work and any ongoing support in the proposal.

Questions about ai change management

What does AI change management include?

It concerns how a proposed workflow affects the people using and supervising it. A scoped engagement can include staff interviews, a role and responsibility map, communication drafts, practical training and a pilot review. Start with a specific workflow and its current problems. The output is a plan and supporting material agreed with your team, with clear owners for decisions and follow-up.

How should we respond to staff concerns about AI?

Ask staff what changes they expect and what could make their work harder or less safe. Concerns about workload, job design, privacy or incorrect outputs may identify real problems. Record the concern, assign someone to investigate and explain the resulting decision. Training should cover when to question an output and how to use a human escalation or manual fallback.

Does the planning checklist measure readiness?

No. It records which discussion topics you have considered in this browser session. The count is a checklist count, not a validated readiness score, staff survey or prediction of adoption. Checking every topic does not establish that a team is ready. Review the supporting evidence with the affected staff and responsible decision makers before deciding whether to pilot.

Can adoption or a completion date be guaranteed?

Set a schedule after reviewing the workflow, staff availability, training needs and unresolved concerns. Agree pilot checkpoints and the conditions for proceeding, changing direction or stopping. Adoption levels and business results depend on the implementation and how people use it. This service does not promise a fixed adoption percentage, a completion date or the absence of workforce changes.

How can we measure whether the change is useful?

Record a baseline before the pilot. Compare task quality, rework, time spent including review, exceptions and staff feedback over a defined period. Record how many eligible staff use the workflow and what they use it for; logins alone do not establish useful adoption. Check for extra work transferred to other roles and agree who will review the findings.

What about multiple locations, shifts or employee representatives?

Include the people and representatives relevant to the proposed change. Review differences in local workflows, access needs, shifts and available training time. Your responsible HR or workplace adviser should confirm any consultation obligations. A common set of materials can be adapted after these differences have been understood; this page does not claim a particular union engagement history.

What support can continue after a pilot?

An agreed handover can include process notes, approved training material, issue reporting and named owners. Define who maintains the knowledge base and reviews changes to tools or policies. Ongoing sessions or support can be quoted separately. Staff should know how to report a problem and who can pause the workflow without waiting for a scheduled review.

How is a change management engagement priced?

Yes AI quotes the work after agreeing the workflow, participating teams, deliverables and review arrangements. Training delivery, travel, implementation and ongoing support should be identified separately where relevant. The consultation terms shown on this page apply to the initial booking; they are not a fixed package price for a change programme.