The correct option is Managing organizational change and user adoption.

Enablement sessions, communication about expected benefits and workflow impacts, and an open feedback channel are classic change management activities. They prepare people for new ways of working, build confidence and buy in, and create a feedback loop that accelerates Managing organizational change and user adoption.

By investing in training and two way communication, leadership is targeting the people and process side of adoption. This drives sustained usage and helps analysts integrate the assistant into daily work in a way that improves outcomes and reduces friction.

The option Responsible AI governance and model monitoring is not the focus here because that area centers on policies, fairness and safety reviews, human oversight, and operational monitoring of models in production, which are not described in the scenario.

The option Data security and privacy compliance is not correct because the actions do not address data handling requirements, access controls, encryption, consent, or regulatory obligations.

The option Algorithm selection and model fine-tuning is incorrect because the scenario does not involve choosing model architectures, tuning hyperparameters, or adapting models to domain data. It describes preparing users to adopt the solution.

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