Every department bought its own AI tool
Nine subscriptions, nine data policies, no shared knowledge and no one accountable for the total.
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Enterprise
Nine departmental pilots. One platform they should have shared.
Enterprise AI platforms, estate consolidation and managed technology for organisations where the problem is no longer capability — it is coordination.
The three things we hear in the first meeting.
If none of these sound like you, we are probably not the right call yet — and we will say so.
The estate has grown by accident
Workloads spread across clouds and datacentres, with nobody holding a complete picture of cost or risk.
IT is spending its time on tickets
The team that should be running transformation is resetting passwords and chasing patches.
The hard part is not the technology.
At enterprise scale, the constraint is usually governance and coordination, not capability. We build the shared platform and the operating model that lets departments move without multiplying risk.
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One platform, many departments.
Shared infrastructure and governance, with per-department data boundaries and budgets.
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Estate visibility first.
A complete picture of what runs where and what it costs, before anything gets migrated.
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Managed operations.
24/7 monitoring and support, so your team works on the roadmap rather than the queue.
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Change managed properly.
Training, documentation and adoption support, because a platform nobody uses is a write-off.
Who we build for
Different teams, different first project. The platform underneath is the same.
Group IT and CIO offices
Estate consolidation, platform strategy and the governance layer over both.
Digital and innovation teams
A shared AI platform that departments can build on safely.
Risk and compliance
Controls, logging and residency that apply uniformly rather than per tool.
Service desks
Managed infrastructure and support, with agreed response times.
What we actually deliver
Four things, in this order. Each one is useful on its own.
Estate and AI audit
What you run, what it costs, what overlaps and what should be retired.
Shared AI platform
One governed environment departments consume, with isolation and chargeback.
Consolidation and migration
Workloads moved to the right place, in a sequence that does not break the business.
Managed IT
24/7 monitoring, patching, backup and support under a defined SLA.
How an enterprise engagement runs
No surprises about sequence, and no invoice before there is something to look at.
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01
Audit
Four to six weeks establishing what exists across the estate and what it actually costs.
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02
Target architecture
One document the CIO, CISO and finance can all sign, with a sequenced roadmap.
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03
Platform build
The shared environment, governance and first two department workloads.
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04
Operate and extend
Managed run, with new departments onboarded onto the platform rather than buying their own.
What good looks like
- One
- Governed platform, not nine tools
- Full
- Estate cost and risk visibility
- 24/7
- Managed, with agreed response times
- Chargeback
- Every department sees its own spend
The Enterprise AI readiness checklist
The questions we work through before recommending anything — data readiness, hosting constraints, review process and the running cost at year two. Use it with any vendor.
Enterprise questions we get asked first
Short answers. Longer ones are a conversation.
We have already signed contracts with several AI vendors. Is this a rip-and-replace?
Rarely, and not as a first move. The audit usually finds two or three tools worth keeping and several worth consolidating at renewal. We sequence around your contract dates rather than forcing early exits.
How long before anything visible happens?
The audit produces a usable picture in four to six weeks. The first department workload on the shared platform typically follows within a quarter. Full consolidation is a multi-quarter programme and we will not pretend otherwise.
Who runs the platform afterwards?
Your choice. We can hand it over with documentation and training, run it under a managed agreement, or run it while your team ramps and then hand over. All three are common.
Can you work alongside our existing systems integrator?
Yes. We are often brought in for the AI and infrastructure layer while an incumbent continues to run applications. Clear boundaries are agreed at the start.
How do you handle change management?
Training, documentation and departmental champions are part of scope, not an afterthought. Adoption is measured and reported alongside technical delivery.
Start with the audit.
Most enterprise conversations begin with nobody having the full picture. That is a solvable problem in six weeks.
- A reply within one working day, from an engineer rather than an account manager.
- An honest read on whether this is worth doing now, or in a year.
- No marketing list. Your details reach the solutions team and stop there.