AI tools such as Microsoft 365 Copilot are increasingly part of day-to-day work across LSE. As a manager, your role is both to use these tools responsibly in your own practice, and to support your team in using them appropriately, fairly and with confidence.
For detailed guidance on how to support an AI-enabled team, see the M365 Copilot Manager Guidance. For more information on available training and resources for you and your team, see Understanding Copilot. This page brings together learning options for different levels of confidence, including responsible AI guidance, introductory learning, practical Copilot pathways and live workshops focused on common Microsoft 365 apps.
Using AI in your role as a manager
AI can support a range of management activities, particularly where it helps with preparation, drafting and organising information. For example, you may use it to:
- prepare for one-to-ones by summarising notes or previous emails
- draft agendas, communications or reports
- review and refine written content, including checking tone and clarity
- summarise discussions or highlight key points from longer threads
AI should support your work, not replace your judgement. Managers remain fully accountable for decisions about people, performance and team dynamics. Any AI-generated content should always be reviewed and adapted before use.
To learn more about appropriate use of AI, explore the AI: Responsible Use at LSE course and the Responsible-AI-Checklist. These resources can help managers and staff think through appropriate use, data handling, accountability, bias, transparency and the need to review AI-generated outputs before they are used or shared.
Setting expectations for your team
You play an important role in shaping how AI is used within your team. Clear expectations help ensure consistency and fairness:
- AI use is optional - staff should not feel required to use it
- use or non-use of AI should not be used as a proxy for performance
- individuals remain responsible for the accuracy and appropriateness of their work, including anything supported by AI
- outputs should always be reviewed for accuracy, tone and potential bias
Not all colleagues will have access at the same time, and access may vary by role or device. This should not affect how work is assessed or distributed.
Supporting adoption in a fair and inclusive way
Teams will have different levels of confidence and interest in AI. As a manager, you can support this in a balanced way by:
- being clear that exploring AI is encouraged, but not expected
- sharing practical examples of how you use AI in your own work
- allowing time and space for experimentation where appropriate
- encouraging peer learning and knowledge sharing within the team
Open conversations about how AI is being used can help identify support needs early, clarify expectations, and build shared understanding across the team.
Encourage your team to explore training that matches their confidence level and role. Staff who are new to Copilot may want to begin with the introductory learning pathway, while colleagues who already have some experience may find the confidence-building pathway more useful. Managers can also use these resources to identify shared learning opportunities for their teams, support peer discussion, and help colleagues make informed choices about when Copilot is useful and when other approaches are more appropriate.
Managing risks and maintaining good practice
AI tools can generate helpful suggestions, but they do not understand context, relationships or organisational nuance. Good management practice remains essential.
As a manager, you should:
- treat AI outputs as drafts or prompts, not final answers
- avoid relying on AI for decisions involving people, including performance, progression or wellbeing
- check outputs carefully for accuracy, tone and unintended bias
- use human judgement and direct conversation for sensitive or complex situations
If AI produces content that feels unclear or inappropriate, treat this as a signal to review and add context, rather than something to act on directly.
Supporting wellbeing and confidence
The introduction of AI tools can raise questions about workload, expectations and confidence. As a manager, it is helpful to:
- avoid creating pressure to work faster or differently without support
- encourage staff to use AI in ways that suit their role and confidence level
- signpost staff to training that matches their confidence level, including responsible AI, Copilot learning pathways and live workshops
- reinforce that AI is a support tool, not a measure of performance
Where there are concerns, these should be addressed through normal management conversations and support routes, rather than through AI tools.