AIBuyer — Preparing enterprise IT for the AI era

Where AI investment stalls

The AI agenda isn't blocked by ambition. It's blocked by the estate beneath it.

The legacy IT cost base absorbs the capital that would otherwise fund transformation. SaaS contracts written for a pre-AI world lock the stack into a shape no one would design today. Nobody on the buyer's side has a clear, commercially literate view of what is actually being spent, on what, and to what effect. The result is consistent: the AI conversation in the boardroom does not survive contact with the budget cycle.

The work is upstream of AI. It is the commercial, contractual and analytical work that has to happen before AI investment can be deployed at the scale the board is asking for.

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The new AI budget you ask your CFO for. AIBuyer releases capital trapped in your existing IT and software spend and redirects it to AI — so the transformation funds itself.

What AIBuyer does

Three things. Each a precondition for AI investment to succeed at scale.

01

Value visibility

A single, costed map of your IT estate, seen through a commercial lens: what you spend, what each system delivers, what it would cost to change, and what's being under-used. The transformation conversation moves from opinion to evidence.

02

Contractual freedom

Independent renegotiation, restructuring or exit of the vendor contracts that lock the estate into a pre-AI shape. The buyer regains the ability to act when the AI case justifies it.

03

Capital release

Targeted cost reduction across the SaaS, licensing and infrastructure base. Budget freed from legacy commitments and ring-fenced to fund AI and transformation work, without a fresh budget request to the CFO.

Together, these leave you with an estate ready to absorb AI investment, the budget to fund it, and the target systems and processes where it can compound.

Built for enterprises with revenue > $1bn and IT spend > $100m. Primary geography UAE & KSA. EMEA capable.

How it works

One self-funding cycle, run again and again.

AIBuyer's work isn't a fixed menu of products. It's an iterative cycle that pays for itself — and compounds with every turn.

We map the estate's cost and value, free the capital trapped in legacy contracts, redirect it to AI and transformation, and deploy where it compounds. Each turn leaves the estate leaner and more AI-ready — and funds the next. And we build the capability inside your team to run the cycle at scale, so it keeps turning long after the engagement ends.

What changes

The outcome: an estate that can absorb AI capital — and a board conversation that runs on evidence.

Estate ready for AI

A commercial-lens, costed map of the IT landscape, freedom to act on the contracts that hold it back, and budget freed from legacy commitments — the foundation AI investment requires to succeed at scale.

Decisions on evidence

Transformation choices are made against a quantified baseline of cost and performance, not against vendor pitch decks or internal opinion. The board conversation is structured around the same data the work runs on.

Capital where it compounds

AI investment goes to the use cases the estate can actually absorb and the business case can defend, with budget already ring-fenced. The compounding effect of AI capital lands inside the business, not on the vendor's revenue line.

Common questions

We have a procurement team. Why do we need AIBuyer?

Most enterprise procurement teams are operationally excellent at running RFPs and managing existing supplier relationships. They are typically not staffed to challenge a $50m vendor contract on commercial first principles, or to model a transformation scenario against a pre-AI baseline. Procurement optimises the stack the enterprise has. AIBuyer asks whether the stack is the right place to invest at all, given where AI is taking the operating model. The two functions are complementary — AIBuyer works alongside your procurement team, not instead of it.

Aren't you just another SaaS optimisation platform?

No. SaaS optimisation platforms are tools — useful, but they sit inside the buyer's organisation and rely on someone senior on the buyer's side to act on what they show. AIBuyer is the senior buyer-side advisor that takes the action. The methodology uses best-in-class platforms where they help, but the engagement is advisory and the loyalty is to the buyer alone.

Can the big-four firms do this work cheaper at scale?

The big-four firms are excellent at large transformation programmes — and in many cases they are also implementation partners of the same vendors whose contracts are under review. That partnership compromises the buyer-side independence this work requires. AIBuyer is independent of every vendor in the estate, and senior on every engagement. We sit upstream of the AI implementation work the big four do; the relationship is sequential, not competitive.

Team

David Johns — Founder & Principal

I have spent twenty-seven years in technology procurement and supply chain — the first decade as a buyer in line roles, the second as a director at PwC, KPMG and EY in London and Dubai, and the most recent seven inside Oracle as Business Transformation Director and SCM Solution Lead for EMEA, based in the UAE.

That trajectory matters for this work. I started as a literal buyer at GrandMet. I have negotiated against most of the major enterprise software vendors on behalf of clients. And I have spent seven years inside one of those vendors, leading the transformation engagements where they sell, deliver and renew. I know what the vendor account teams know about their customers. I know what the buyer's organisation typically does not. AIBuyer exists to put that knowledge on the buyer's side of the table.

The AI agenda has changed the stakes of this work. Vendor contracts written for a pre-AI world are now constraining decisions the board needs the executive team to make. The estate that worked five years ago is not the estate that will absorb AI investment in the next five. AIBuyer's role is to do the upstream commercial and analytical work that gets the estate ready — so the AI investment, when it lands, lands somewhere it can compound.

I have lived in the UAE for over a decade. AIBuyer's primary market is UAE and KSA, with the regional context that depth implies — alongside delivery capability across the wider EMEA region.

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Ian Hook — Operations Director

Ian has spent over two decades delivering software, data, AI and consulting services to enterprise clients across financial services, compliance, risk and, most recently, AI governance. He has held senior operating roles — COO, European GM and Chief of Staff — in B2B SaaS, fintech and AI businesses serving tier-1 enterprises. His focus is the operating discipline behind every engagement: that the analysis is sound, the savings are real, and the work lands on time and on budget.