We ensure safe AI deployments while making your security operations smarter.
AI-CENTRED TECHNICAL FOUNDATIONS
- Services
- AI-centred Technical Foundations
What is AI-centred Technical Foundations?
Most conversations about AI focus on what it can do: the use cases, the intended business impact. Few focus on what it runs on.
But AI is only as powerful as the foundation beneath it: the quality and accessibility of your data, the readiness of your systems, the robustness of your cloud environment. Without that foundation, even your most promising AI use cases stay stuck at proof-of-concept stage.
AI-centred Technical Foundations means assessing and rebuilding what your business runs on, so AI can perform reliably, securely and at scale.
AI-centred Technical Foundations in depth
Why does it matter?
As AI becomes part of the core infrastructure, the choice of model, cloud and vendor stops being a technical detail – it becomes a strategic one. Locking into a single provider means inheriting their roadmap, their pricing and their compliance posture. Getting the foundation right means staying free to choose which model runs where, and to change that choice as the market shifts.
It also determines how fast your organisation can act. A modular, event-driven architecture doesn't just support today's use cases – it's what lets you plug in new models, new data sources and new agents as they emerge, so your organisation can keep scaling and learning without rebuilding each time.
DB | Migration and expansion of the Comfort Check-in service
As part of the Vendo programme, over 400 staff members are developing DB’s new passenger transport sales system. The ‘Komfort Check-in’ team is replacing the original MVP infrastructure for KCi on the backend, thereby ensuring the process is future-proof.
How to get it right
We assess your data, systems and infrastructure against what AI actually needs – then close the gaps that matter most, drawing on three decades of enterprise IT experience and our own modular AI infrastructure, AERA.
Data platforms and architecture.
Governed, reusable enterprise data that AI can actually work with.
Legacy modernisation and IT readiness.
Making your existing systems reliable enough to integrate and operate AI at scale.
Cloud-native, sovereign infrastructure.
Built for flexibility – you decide which model is run where, and retain control even as the market changes.