Interview series:
The Emergence of the Unified Customer Data Layer

Hear from industry leaders from RAC, CACI and Snowflake on the emergence of the unified customer data layer and how it’s become a critical enabler to deliver AI and smarter marketing. 

eBook 
The AI playbook: How to design, deploy and deliver AI value 

No two organisations come to AI from the same place, and there’s no single path to making it work.

Written by CACI’s Director of Data & AI Ethics, Sue MacLure, this playbook brings a practical, real-world perspective to one of the biggest challenges facing senior leaders today: how to move beyond experimentation and make AI deliver for your organisation's people and ways of working. Drawing on decades of experience in data, technology and governance, it sets out a clear approach to designing, deploying and scaling AI in a way that is commercially impactful, responsible and built to last.

A simple framework for unlocking AI value

Most organisations don’t need more AI ideas, they need a clearer way to prioritise and scale them. This playbook uses Gartner’s Defend, Extend, Upend framework to help you focus where AI can deliver the most impact.

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Defend: Use AI to improve productivity, reduce friction and strengthen existing operations.
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Extend: Apply AI to optimise services, improve experiences and unlock greater performance.
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Upend: Use AI to reshape offerings, experiences or even your business model.

About the author: Sue MacLure 

Sue MacLure is CACI’s Director of Data & AI Ethics, leading how organisations respond to the rapid rise of AI in a way that is both commercially effective and responsibly governed.

With a career spanning brands, data and marketing agencies, Sue brings a rare combination of deep technical understanding and real-world business perspective. As a member of the DMA Ethics Committee, she is at the forefront of shaping how AI is applied in practice, balancing innovation with trust, governance and long-term value.

This playbook reflects that approach: practical, grounded, and focused on helping organisations turn AI ambition into something that works in the real world.

Sue

What will this playbook help you do differently? 

This isn’t a checklist of AI use cases. It’s a way of thinking about how AI fits your organisation: your data, your challenges and your ambitions.

 

1. Define a clear path from ambition to execution, grounded in your organisation’s reality, not a generic AI blueprint

2. Take a holistic view of AI adoption, spanning strategy, architecture, data, governance and operating model
 
3. Design the foundations AI depends on, so it can scale reliably across your business, not remain in isolated pilots

4. Create the conditions for adoption, aligning people, processes and technology around shared outcomes

5. Make AI usable and trusted, through strong data integrity, governance and ethical guardrails
 
6. Apply the right techniques in the right places, driven by business need, not technology trends
 
7. Embed AI into how your organisation operates, rather than layering it on top
 
8. Turn experimentation into execution, with a clear path to measurable commercial value

 

With the right foundations in place, AI becomes more than a capability; it becomes part of how your organisation operates, scales and evolves, unlocking value in a way that is sustainable, trusted and built for long-term impact.

See what leading enterprise organisations are doing differently: