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Should the manager attend the team’s AI training?

A manager does not need to sit beside employees for every attempt in an AI tool. Their participation may matter when the group cannot agree on a useful result or what it can change about the work. Attendance should follow those questions. A name on the participant list does not explain why the manager is there.

Author

Syntalith

Published Updated 3 min read

When preparing Syntalith team training, we can propose manager involvement in selected parts of the program. Before commissioning, we discuss team tasks, readers' expectations, and issues requiring a company decision. The buyer can see where a shared discussion is needed and where employees need time for independent practice and questions to the instructor.

The manager can clarify the purpose beforehand

Selecting a task requires understanding the work people will return to. If training covers preparing a comparison, the manager explains which question it should answer. They can also identify someone who knows the sources and will read the result. That preparation may be more useful than attending an entire introduction to AI.

The program still includes the practice employees need: explaining the goal and context, selecting material, analyzing or drafting, and checking the response. It also covers model limitations and company data rules. Practice can use approved ChatGPT Work or Claude Cowork access. We agree on the environment and files so participants can repeat the work afterward.

CIPD's guidance on learning needs includes operational managers, subject experts, and employees. Their knowledge helps connect the program to actual work requirements.

When a shared discussion helps

Suppose the team prepares a shorter report, but the manager still expects every detail from the old document. Employees return to the previous format. A selected workshop discussion can compare both versions and establish which information the manager uses to decide. The instructor helps turn that into a task for the authors. A course on shortening text alone would leave this difference in expectations unresolved.

The manager can also read a participant's work and explain what is still missing. The instructor helps distinguish comments about the document's purpose from language preferences. The author practices revising their own work instead of watching a supervisor do it for them.

Time without the manager has a purpose too

During initial attempts, people need room to ask tool questions and show unsuccessful results. The company can agree on a working session with the instructor and a later discussion of selected outputs with the manager. The format should suit how the particular team works and learns; groups need not follow an identical arrangement.

Job title does not determine AI familiarity. A manager who uses it daily may need a harder task, while an experienced specialist needs a slower introduction. If the manager prepares analyses themselves, they should have practice relevant to that work. In a later independent task, an employee prepares new material and the agreed reader assesses its usefulness.

Involvement after the sessions

The manager establishes when the team will use the approach and whom to ask about company rules. Further instructor feedback can be a separate part of the engagement. The proposal specifies sessions, preparation, materials, and any consultations so continued practice does not depend on someone's unagreed availability.

Describe which team decisions require the manager's involvement. We can discuss their role before the sessions and in reviewing participants' work. See our pricing page for information about working together.

Syntalith is a member of Claude Partner Network, Anthropic's partner program.

Denotes membership in Anthropic's partner program for Claude. Not an endorsement of Syntalith's services by Anthropic.

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