AI adoption
Help your team adopt AI with confidence: decide what to hand over to Microsoft Copilot, build agents your team can rely on and redesign workflows so AI adds value without taking judgement out of human hands.
-
To build participants’ understanding of where AI and Microsoft Copilot can add value to their team’s work, and where human judgement must stay central.
Learn to decide what to delegate to AI, challenge its outputs proportionately and stay accountable for the results.
Design, build and govern Copilot agents with trusted knowledge, clear boundaries and human oversight.
Redesign team workflows so each stage is automated, augmented or kept human-led on purpose.
Use AI in line with public sector guidance on responsible use, transparency and data.
-
Your team moves from ad-hoc experiments to AI-supported ways of working that it trusts and repeats.
Better judgement about when AI output is fit for purpose, without over-checking or blind acceptance.
Clear guardrails, ownership and human checkpoints for every AI-assisted task.
Practical tools your team keeps using after the training, such as prompt frameworks, agent designs and review checklists.
Greater confidence in making the case for AI adoption to senior leaders, and in knowing when not to use it.
-
This module can be applied in a range of circumstances and is ideal for teams who are:
Rolling out Microsoft Copilot or another AI tool and wanting people to use it well from the start.
Already using AI day to day and wanting to move beyond basic prompting.
Looking to turn recurring work into AI agents the whole team can rely on.
Tasked with improving internal processes or public-facing services using AI.
Unsure what to delegate to AI, how far to trust its outputs and where accountability sits.
Needing clear guardrails, governance and responsible-use practices that meet public sector guidance.
Working with sensitive information and needing to know what can and can’t go into AI tools.
Leading AI adoption and needing to build the case, set priorities and bring sceptical colleagues with them.
Facing mixed confidence across the team, from enthusiasts to reluctant users.
Building a network of AI champions to support adoption across the organisation.
Wanting to measure whether AI is improving quality, speed and consistency.
Responsible for spotting which emerging technologies are worth backing, and making a safe case for trying them.
Our programmes are built around Microsoft Copilot, but everything in this module can be applied to any AI tool your organisation has approved, including ChatGPT, Gemini and Claude.

