Whitepaper
Can you rebuild your enterprise moat with AI?
If you think the enterprise moat no longer has a place in the age of AI, think again.
Your enterprise is sitting on a wealth of digital assets that can be turned into a long-lasting, defensible competitive advantage that startups just can't replicate.
With AI, you have the potential to turn your assets – data, workflows, customer trust, purpose – into custom capabilities that are completely unique to your organisation.
Yet if you keep seeing AI as a way to drive efficiency or create generic tools, your moat won't have the depth or strength it needs to defend your position.
In fact, it might disappear altogether.
This whitepaper is the first step to understanding how to use AI to strengthen your moat, not weaken it.
In this in-depth guide, you'll learn:
What an enterprise moat should look like in the age of AI.
How AI can help you rebuild your competitive advantage.
The difference between chasing efficiency and driving innovation.
Why your enterprise assets are an AI advantage, not a hindrance.
The AI traps that risk eroding your moat.
How to become the fusion stakeholder your enterprise needs.
Created by team GW's Chief AI Officer, Mark Simpson, with contributions from enterprise AI market leaders Moonpig, Corpay, EU Automation, Bibby Financial Services, River Island, London Marathon Events and West Midlands Combined Authority.
Why is AI an enterprise advantage?
Other recent digital innovations gave startups the advantage by prioritising speed and agility.
AI hands the advantage back to your enterprise: enabling you to combine the depth of your data, trust and purpose with tools that make development faster, easier and more targeted to your customers.
About the author
Mark Simpson
Chief AI Officer
Mark Simpson
Chief AI Officer
Mark Simpson is Chief AI officer at GW. He has worked with the likes of Atradius, the Isle of Man government, Arqiva and more to deliver thoughtful AI and technology applications that deliver commercial and human impact to enterprises.
