Generative AI Leader Practice Question: Implement a change management strategy for GenAI…

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  Remove existing tools to force adoption

  Why it's wrong here

  Removing existing tools disrupts established workflows and creates resentment without demonstrating GenAI's value, so adoption stalls. It is tempting because consolidation forces usage and suits scenarios replacing genuinely redundant, overlapping licences where a single approved tool already covers the same function.

• ✓

  Appoint AI champions in each department to advocate and assist

  Why this is correct

  Embedding advocates within each department gives employees peer-level, context-specific guidance, which addresses the adoption barrier of unfamiliarity and low confidence far better than centralised mandates. Champions translate GenAI use cases into departmental workflows, providing ongoing support that sustains adoption beyond initial training.

• ✗

  Limit access to GenAI tools to senior leadership only

  Why it's wrong here

  Restricting access to senior leadership excludes the broader workforce whose daily tasks GenAI would assist, so organisation-wide adoption cannot occur. It is tempting because controlled pilots reduce risk, and it suits early proof-of-concept phases where a small group validates security and output quality before wider rollout.

• ✗

  Make the use of GenAI tools mandatory for all tasks

  Why it's wrong here

  Mandating GenAI for every task removes employee choice and ignores task suitability, breeding resistance rather than adoption. It is tempting because mandates guarantee initial usage metrics, and they suit compliance-driven rollouts such as security training where universal completion is genuinely required.

• ✓

  Provide comprehensive training programs for employees

  Why this is correct

  Structured training programmes build the practical GenAI literacy employees need to use new tooling confidently, reducing resistance rooted in unfamiliarity. This directly satisfies the stem's adoption goal by equipping staff with the skills that convert mandated rollout into genuine day-to-day usage.

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