Engineering trust into enterprise AI
Engineering trust into enterprise AI
I don’t think executives are asking for more AI right now. They’re asking for permission to trust it.
We’ve spent the last few years talking about models, copilots, agents and what AI might be capable of doing. But increasingly, the conversations I find more interesting are much simpler. Can I trust it? What can it access? What can it change? Who is accountable when it gets something wrong?
Working in defence gives you a slightly different perspective because these aren’t particularly new questions. When you’re engineering systems where the consequences of getting something wrong can be significant, assurance, permissions, security boundaries, auditability and human accountability are simply part of the job. We don’t give a new capability unrestricted access to everything and hope it behaves itself.
Yet in the rush to deploy AI, I think some organisations have treated governance as the thing standing between them and innovation. I’d argue almost the opposite. Good governance is what gives you permission to move faster.
The interesting point comes when AI stops simply generating an answer and starts interacting with the systems where your business actually operates: customer relationships, finance, HR, service management and the supply chain. At that point, the question isn’t really how clever the model is. It’s whether you can confidently control what it can see, what it can do and what happens when something goes wrong.
That requires more than an AI policy. It requires architecture. Identity, permissions, governed integrations, security controls, observability, audit and clear points of human accountability all become part of the solution.
Get those things right and I think the conversation with executives changes. It stops being, ‘Are we comfortable letting AI do this?’ and starts becoming, ‘We understand the boundaries. What else could we safely allow it to do?’ That’s a very different conversation.
Perhaps defence and the commercial world aren’t as far apart here as they sometimes appear. We’ve spent decades engineering trust into complex systems. AI gives the rest of the enterprise a very good reason to start doing the same.
Trust doesn’t slow adoption. Done properly, it unlocks it.
