You have people using AI. The step that changes anything is the first thing you build with it: something that serves a team, runs on your own content, and stays in production.
Five tests. The candidate that passes all five goes first.
A two-week sprint on your own content, with a gate at the end.
Owned by IT, watched, and still running in six months.
The second build reuses what the first one connected.
Anglo American
Woolworths
PepsiCo
DHL
Transport for London
Discovery Bank
NEOM
RCL FoodsThe question is not how far up you could be. It is what the next step takes, and how quickly you can be standing on it. Step two is real things built, in production, serving teams, and nothing further up the staircase needs to be true yet.
Nothing further up the staircase needs to be true yet. These three do.
One person getting faster is a habit, and it leaves when they do. A build serves everybody who does that work, including the people who will never be good at writing prompts.
Your documents, your policies, your data, your way of doing things. Connected to your systems and security, with role-based access so privileged content stays protected.
IT owns and watches it, and it is still running in six months. That is the whole difference between a build and a demonstration.
Think of the thing your organisation is proudest of. Tick each property it genuinely has today.
Most examples pass one or two. That is normal, and it tells you where the work is.
The missing property is the work, and it is usually smaller than it looks. That gap is exactly what a first build closes.
You are on step two. The next question is whether the second build can reuse what the first one left behind.
Ledger and close · integration · intra-month forecasting · validation controls
Consolidation · bottom-up budget and forecast · cash flow · statutory reporting
Planning, routing, yield, quality, maintenance, procurement
Customer insight · benchmarks · operational reporting · the platform underneath all of it
Scenario modelling · single view of risk · framework automation · compliance documentation
Employee data · leave and expenses · performance · the internal knowledge hub
Giving everyone a licence is a productivity decision.
This is a business architecture decision.
Each is fixed in scope and short enough that nobody has to approve a programme to find out whether this works. Choose the statement closest to your organisation.
Which sounds most like you?
AI, the technology and the market, for the people who have to fund it
An AI strategy and market overview session for your executive team: the technology, the platforms, and how other clients are accelerating their investment.
Book thisYour people, your work, and a shortlist they built themselves
Your people, your work. We bring what others have built, you bring the candidates, and everybody fills in the matrix together.
Book thisFor a room with more ideas than it can rank
We size the value and the effort behind each candidate and put them in an order you can defend.
Book thisOne use case, built, with a decision at the end of it
Two weeks to validate one use case on your own content, and an honest decision at the end about whether to keep going.
Book thisYou do not need an AI strategy to start. You need one use case, one owner and somewhere to build it.
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Data & AIScale your AI & Data Investment Read More Who would own the first build, and what would you most like running differently in ninety days? Bring those two answers and we will do the rest.
South Africa · United Kingdom · Australia
No deck. One question and a whiteboard.
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