Updated October 14, 2026
Giving people access to an AI tool is an early rollout milestone. The more important question is whether they can use it appropriately in the work they are expected to complete. That requires a clear task, reliable support and enough time to learn a changed way of working.
Build the adoption plan around the workflow. Explain where AI fits, what the user must still check and how to complete the task when the tool is unavailable or unsuitable. Make those expectations concrete before asking teams to change their habits.
Describe the change in one page
A useful change brief answers six questions:
Which task is changing, and what problem are we trying to solve?
Who should use the workflow, and for which cases?
What may the tool produce or do?
What must a person verify or approve?
What should happen when the output is wrong or incomplete?
Who owns support, feedback and the decision to expand?
Show one ordinary example and one exception. Explain how the work will be assessed during the learning period. Where people are concerned about workload, accountability or the use of performance data, answer directly and avoid promises that leadership has not agreed.
Choose champions for credibility and coverage
A champion should understand the work and be willing to explain both the useful features and the limitations. Include people from different roles, experience levels and working patterns. A confident early adopter alone may miss the obstacles encountered by colleagues with less time or different tasks.
Give champions a bounded role: demonstrate approved workflows, help colleagues practise, collect recurring questions and escalate problems. They should not become the unofficial support desk or be expected to approve changes outside their authority.
Write down the time allocation, manager agreement, escalation contact and duration of the assignment. If champion work is added without adjusting other responsibilities, the plan relies on spare capacity that may not exist.
Protect time for practice
Arrange short practice sessions using realistic, approved material. Let users complete the task themselves, examine the output and work through a failure case. A demonstration can introduce a workflow; supervised practice can reveal where instructions or controls need improvement.
Training should differ by role. Users need task-level guidance and checking habits. Managers need to recognise appropriate use and interpret the measures. Support teams need troubleshooting routes. Owners need to understand the changes they can approve and the conditions that require escalation.
Keep a concise job aid at the point of use. Include permitted inputs, required checks, common errors and the fallback procedure. Update it when the workflow changes, with an identifiable owner and revision date.
Measure enabled, adopted and useful separately
Track the rollout in stages:
Enabled: people have the required access, training and support.
Tried: eligible users have completed a supported first task.
Adopted: the workflow is used appropriately across eligible work over time.
Effective: quality, end-to-end effort or service outcomes improve against the baseline.
Use clear denominators. Twenty weekly users means something different in a team of 25 than in a team of 200. Count eligible tasks as well as users, and explain exclusions. Logins and prompts alone do not show whether useful work was completed.
Balance usage measures with rework, corrections, escalations and user feedback. A person who rejects a poor output may be demonstrating good judgement. Avoid incentives that reward uncritical acceptance or encourage unsuitable tasks to be routed through the tool.
Use feedback to change the rollout
Consider a hypothetical service team using an assistant to prepare internal case summaries. Staff complete training, but repeated use remains low. Interviews reveal that checking the source material takes longer than creating the summary manually.
The next step is to investigate the checking burden. The team could improve source references, narrow the eligible case types or revise the task. Asking champions to promote the same workflow more enthusiastically would leave the underlying problem unresolved.
Maintain a short feedback log with the issue, affected task, consequence, owner and response. Tell users what changed and why. Route security concerns and serious errors through the incident process rather than leaving them in a general suggestion channel.
Expand when the workflow earns it
Before adding more users, review whether people can complete the task safely, support can handle demand and the observed benefit remains worthwhile after review and correction effort. Agree the next rollout boundary and the conditions for pausing.
A sustainable rollout makes the expected behaviour achievable during an ordinary working day. Clear ownership, realistic practice and visible responses to problems give teams a sound basis for deciding when the workflow deserves their trust.
Explore Daly Ventures’ AI Strategy & Readiness approach to connect an AI initiative with its operating model, adoption plan and measures of value.
