AI, Data & Cloud Architecture
Architecture for data, AI and cloud, designed around what your business needs to run. What you keep is a target design, a sequenced roadmap and the trade-offs written down, so your engineers can defend every choice.
Our approach
How an architecture decision gets made
We start with the business goals and the systems you run: ERP, CRM, PIM, commerce and the data platform between them. Enterprise architects and specialists in data platforms, AI and cloud work out the options together, with the cost and risk of each.
Each choice is written down with its reasons. The target state is then sequenced into a roadmap for cloud adoption, migration and modernisation, with governance that keeps later projects inside the design. Availability, recovery and access are designed in at that point, not added after go-live.
- You get a recommendation, with the reasoning written beside it.
- Cost is part of the design. Every option shows what it costs to run.
- A cutover plan, a dual run and a way back, written before anything moves.
- Your engineers can show the reasoning behind every choice to the next vendor or auditor.
What we do
Five services behind an architecture you can build on for years
- Reference ArchitectureSet a target state, sequenced in steps, with every trade-off written down.
- Cloud & Cost DesignSize your cloud to the workload and see exactly where the spend goes.
- Integration DesignDecide how ERP, CRM, PIM and commerce share data, and who owns each flow.
- Migration SequencingPlan the cutover, the dual run and the way back before anything moves.
- Security & ResidencyKeep data in the right country, with access, keys and audit trail designed in, and open only to those who need it.
Ready to put your data to work?
Talk to us about architecture. Whether you are building a first platform or modernising a complex one, we will go through the options with you and what each one costs to run.