Harnessing AI for Change Management

Practical Insights and real-world strategies for Harnessing AI for Change Management

Artificial intelligence continues to accelerate at remarkable speed, reshaping how organisations operate and how Change Managers approach their work. In this session, Natasha Bradley and Sue Gilkes share practical, grounded insights into why AI adoption matters, how tools such as Microsoft Copilot transform day-to-day delivery, and what Change Managers can do to harness its full potential with confidence. Their discussion offers a clear, experience-based look at what AI can do right now, the opportunities it creates, and the realities organisations must consider as they integrate it into their change practice.

The Case for Embracing AI in Change Management

Across industries, organisations face pressure from reduced budgets, staff shortages and increasing demand for efficiency. Many teams are experiencing budget cuts in the region of 20 to 30 per cent. At the same time, spend that cannot be measured requires board-level approval, slowing programmes and adding complexity. Digital literacy remains low for many employees, leaving people under pressure and often unsure how to adapt.

Despite these challenges, the growth of AI is impossible to ignore. The AI market in the UK is already worth £16.8 billion and is forecast to grow to £801.6 billion. How can organisations afford not to adapt when the risk of being left behind is so high?

Yet even with this momentum, adoption remains far from universal. A recent Prosci report shows that only 39 per cent of change practitioners are using AI in their work.

Real-World AI Success Stories

Here are examples from organisations already using Copilot for Microsoft 365 at scale.

NHS England

Over 12 to 18 months, NHS England rolled out 33,000 Copilot licences across its trusts. The results include:

• 3.35 hours saved per user per week
• £90.45 value of time saved per user per week
• £361.80 per user per month for heavy Microsoft users
• 1.7 million users with access to Copilot Chat
• Copilot for 365 now in general availability

This huge deployment demonstrates that even in highly complex environments, AI can create measurable gains in both time and value.

Additional Industry Use Cases

• Quilter is driving 20 per cent efficiencies and saving 9,000 hours
• Their audit team is realising more than 30 per cent efficiency gains
• Somerset Council reports 10 hours saved per user per month

These figures provide concrete proof that AI tools can unlock significant improvements, particularly for teams managing change across large portfolios.

A Day in the Life of a Change Manager with Copilot

To help practitioners understand the practical application, Natasha shares a “day in the life” walkthrough showing how Copilot supports core change activities. The examples emphasise accuracy, clarity and speed while reinforcing that human oversight remains essential.

Morning Triage at 7am

Copilot can be prompted to:

• Summarise emails, Teams messages and calendar items
• Organise information under defined headings
• Highlight key updates, actions or urgent items
• Present a clear overview of the day’s meetings

This automated triage appears in Copilot Chat as soon as the Change Manager starts their day. Natasha notes that Copilot only pulls information from sources the user specifies.

Creating Key Project Documents in Minutes

Natasha demonstrates how Copilot can produce three major artefacts in under three minutes:

• A Product Initiation Document
• A project schedule
• A stakeholder PowerPoint

Copilot uses the documents and sources provided, ensuring relevance and accuracy. Edits can be applied through prompting, such as adding task numbers to a schedule or adjusting phases.

Building a Change Impact Assessment

Within Word, Copilot can create a full change impact assessment using only the inputs and files the user selects. This supports consistency and structure while dramatically accelerating document creation.

Generating Meeting Outputs

One of the most practical examples is Copilot’s ability to turn a meeting transcript and agenda into:

• A written output report
• A PowerPoint summary for stakeholders

All of this is produced quickly, again using only documents the user authorises. Natasha highlights that images remain one of the limitations. However, the time saved still represents a major advantage for Change Managers managing multiple workstreams.

Across all of these examples, Natasha reinforces that Copilot is designed to drive efficiency, not to replace human judgement. Accuracy checks and human oversight remain essential.

Why Prompting Matters

Just as with a human assistant, vague instructions lead to vague results. The more specific and context-rich the prompt, the better the output.

GCSE Prompting Structure

• G – Goal: What do you want Copilot to do?
• C – Context: Why do you need it? Who or what should it act as?
• S – Source: Which documents, policies or external sources should it use?
• E – Expectations: What format should the output take?

Common Pitfalls and How to Avoid Them

Challenges to be aware of when using AI tools:

• Over-reliance
  AI supports productivity but does not replace expertise.
• Limited domain expertise
  AI can produce content beyond the user’s knowledge, making human verification essential.
• Lack of context
  Incomplete prompts lead to weak outputs.
• Privacy concerns
  Organisations must ensure data is handled within secure environments.
• Bias
  Responses may reflect biases present in training data.

Both speakers emphasise the importance of checking outputs, using secure organisational credentials and avoiding the use of sensitive information in public AI tools.

Final Thoughts

Change Managers stay curious and keep experimenting. AI offers a powerful way to reduce manual effort, increase clarity and accelerate delivery while keeping human expertise at the centre.

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