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Nobody has all the answers … we are in this together!

AI is here. We cannot avoid it.

Thirty years ago, when companies first connected to the internet, the winners were not the ones who simply used it. The winners were the ones who rebuilt their business around it.

The same question is back with AI.

In McKinsey’s Agentic Organization framework, the redesign is framed around five pillars: business model, operating model, governance, workforce and culture, and technology and data.

Look at that list. Technology is just one of five. The rest is how the business actually runs.

Where most organisations get stuck is treating these five pillars as separate problems. A technology project here, a change programme there, a governance review somewhere else. The real shift comes from redesigning all five together, end to end, rather than optimising individual pieces in isolation.

Nobody has all the answers. We are all learning.

As Helen Toner, former OpenAI board member, put it in her TED talk on governing AI: “I don’t understand AI. And neither does anyone else.”

That is an honest starting point. AI is moving fast, the rules are still being written, and every organisation is figuring it out as they go. We are all on the same boat.

But some of us have been tracking it more closely.

At GSA, we learn from the organisations shaping how AI is built, governed, and applied: the Big Four, OpenAI, Anthropic, and the IAAP. We hold recognised AI qualifications and stay current with how the field is developing. But we do not come at this from technology alone. We bring first-hand experience from managing transformation programmes, sitting on both sides of the table as vendor and as client. We understand the complexity, the business sensitivity, and the real-world pressure that comes with getting this right.

We are committed to working with you across three areas:

  • Most organisations are not ready to use AI well. They just do not know it yet.

    We assess where your organisation actually sits: your data, your systems, your people, your leadership alignment, and whether your strategy connects AI to real business outcomes. Each area is scored independently, because the gaps that matter are different for every organisation.

    You receive a clear picture of your AI maturity, the specific gaps to close, and a prioritised set of next steps.


  • Your people are already using AI. The question is whether anyone is managing how.

    Shadow AI is a growing risk. Staff use unapproved tools, feed in company data, and make decisions based on outputs nobody has checked. We help you set up governance that works: clear guardrails on what tools and data are allowed, a named person for anything the policy does not cover, and a process for keeping it all current as AI changes.

    We also help you think about AI being used against you, from deepfakes to social engineering. Governance now covers both directions.


  • The vendor builds it. Your team tests it. But who checks whether the testing itself is done properly?

    We sit on the owner’s side. We review the test scope, independently verify the estimate, track progress during testing, govern UAT, and report to your leadership. We do not run the tests. We make sure they are done right.

    Before go-live, you receive an independent readiness recommendation with the evidence behind it. Vendors cannot provide this objectively. We can.

Recommended Viewing:

Helen Toner: How to govern AI — even if it's hard to predict | TED Talk