Output: A staged change decision memo with update and retirement rules.
Before this: Experience of a workflow or change project; foundation concepts assumed.
Work through the fictional examples and feedback. Short notes are enough.
LecXie suggested study allocations, not provider runtimes or verified learning time. Optional deeper work is outside the total.
0 / 4
Stops marked explored
Off by default. Notes stay in this tab while navigating Learning; reload or close loses them unless exported. Nothing is sent to a learner database. Avoid personal or sensitive information.
Stop 1 of 4
Map the whole intervention
Define the system and its human dependencies before changing a component.
Journey fit: Start with the prerequisite concepts above. The selected resource supplies context; the local case is where you use it.
Selected resource · Feedback + Control
Google PAIR
Feedback + Control
What you will learn: Plan what feedback users can give and what control they retain.
Why this is worth the time: Useful when a change practitioner moves from a model to an ongoing service. Feedback does not necessarily retrain a system immediately.
Before this
Basic AI concepts and a system boundary
Study time
Suggested 20-minute study activity
Access
Free public text; optional worksheet available at the original site
Currency / limits
Foundational guidebook originating in 2019; page undated
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Part of this stop’s selected reading.
Selected resource · AI Risk Management Framework
NIST
AI Risk Management Framework
What you will learn: Turn a vague risk concern into ownership, context, measurement and controls.
Why this is worth the time: Provides a general risk lens. It does not replace local controls or legal advice.
Before this
A candidate task and people affected by it
Study time
Suggested 25-minute exploration of Govern, Map, Measure and Manage; not a provider runtime
Access
Free public framework; no account needed
Currency / limits
AI RMF 1.0 (2023) is being revised; check current guidance before use
Self-reported and shared across routes. Source date: 2023-01-26 · Last update: not established · Checked 2026-10-15. Part of this stop’s selected reading.
Original local activity · Fictional case
Define the system and its human dependencies before changing a component.
A retrieval assistant depends on documents, permissions, a model, reviewers and a business process. Which boundary belongs in its evaluation?
Apply it to a working example
Use a hypothetical or approved non-sensitive example. Map information owners, system components, decision owners and downstream consequences.
A self-report of exploration, not verified proficiency. Your work is not sent to LecXie.
Stop 2 of 4
Compare learning value across pilots
Choose a small portfolio that can answer useful questions.
Journey fit: Build on Map the whole intervention before this activity. The selected resource supplies context; the local case is where you use it.
Selected resource · Impact Evaluation of AI Interventions
HM Treasury · Evaluation Task Force
Impact Evaluation of AI Interventions
What you will learn: Specify a baseline, comparison and outcome measures before starting a pilot.
Why this is worth the time: Connects the earlier notes to a testable pilot rather than a demonstration.
Before this
Task, safeguards, workflow and capability notes from stops 1–5
Study time
20 min selected sections; full guidance takes longer
Access
Free public guidance; no account needed
Currency / limits
Updated 15 May 2026; UK public-sector guidance, adapt to context
Self-reported and shared across routes. Source date: not established · Last update: 2026-05-15 · Checked 2026-10-15. Part of this stop’s selected reading.
Original local activity · Fictional case
Choose a small portfolio that can answer useful questions.
Three sponsors propose similar pilots using the same task and data. What would improve the portfolio?
Apply it to a working example
Use a hypothetical or approved non-sensitive example. Compare two pilot ideas by risk, evidence gap, overlap and the decision each would inform.
A self-report of exploration, not verified proficiency. Your work is not sent to LecXie.
Stop 3 of 4
Design a staged transition
Keep a credible fallback and learning loop during introduction.
Journey fit: Build on Compare learning value across pilots before this activity. The selected resource supplies context; the local case is where you use it.
Selected resource · Impact Evaluation of AI Interventions
HM Treasury · Evaluation Task Force
Impact Evaluation of AI Interventions
What you will learn: Specify a baseline, comparison and outcome measures before starting a pilot.
Why this is worth the time: Connects the earlier notes to a testable pilot rather than a demonstration.
Before this
Task, safeguards, workflow and capability notes from stops 1–5
Study time
20 min selected sections; full guidance takes longer
Access
Free public guidance; no account needed
Currency / limits
Updated 15 May 2026; UK public-sector guidance, adapt to context
Self-reported and shared across routes. Source date: not established · Last update: 2026-05-15 · Checked 2026-10-15. Part of this stop’s selected reading.
Selected resource · Feedback + Control
Google PAIR
Feedback + Control
What you will learn: Plan what feedback users can give and what control they retain.
Why this is worth the time: Useful when a change practitioner moves from a model to an ongoing service. Feedback does not necessarily retrain a system immediately.
Before this
Basic AI concepts and a system boundary
Study time
Suggested 20-minute study activity
Access
Free public text; optional worksheet available at the original site
Currency / limits
Foundational guidebook originating in 2019; page undated
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Part of this stop’s selected reading.
Original local activity · Fictional case
Keep a credible fallback and learning loop during introduction.
A successful trial is proposed for immediate organisation-wide rollout. What should the transition plan add?
Apply it to a working example
Use a hypothetical or approved non-sensitive example. Define the first stage, affected groups, support owner, fallback and evidence needed to expand.
A self-report of exploration, not verified proficiency. Your work is not sent to LecXie.
Stop 4 of 4
Control updates and retirement
Keep the evidence meaningful as models, sources and processes change.
Journey fit: Build on Design a staged transition before this activity. The selected resource supplies context; the local case is where you use it.
Selected resource · AI Risk Management Framework
NIST
AI Risk Management Framework
What you will learn: Turn a vague risk concern into ownership, context, measurement and controls.
Why this is worth the time: Provides a general risk lens. It does not replace local controls or legal advice.
Before this
A candidate task and people affected by it
Study time
Suggested 25-minute exploration of Govern, Map, Measure and Manage; not a provider runtime
Access
Free public framework; no account needed
Currency / limits
AI RMF 1.0 (2023) is being revised; check current guidance before use
Self-reported and shared across routes. Source date: 2023-01-26 · Last update: not established · Checked 2026-10-15. Part of this stop’s selected reading.
Original local activity · Fictional case
Keep the evidence meaningful as models, sources and processes change.
The vendor changes the model while a pilot is running. What should the change practitioner preserve?
Apply it to a working example
Use a hypothetical or approved non-sensitive example. Write an update and retirement rule: trigger, owner, retest, communication and retained evidence.
A self-report of exploration, not verified proficiency. Your work is not sent to LecXie.
A staged change decision memo with update and retirement rules.
Assembled from your working notes. Empty sections remain prompts. This is a draft for discussion with the responsible people.
Optional deeper branches
Separate from the core route. Alternatives cover a similar outcome; deeper work extends it. Choose deliberately rather than repeating everything.
