Connect the power of AI with the systems your business already runs on.
AI delivers very little on its own. Its value appears when it is connected to the applications, databases, documents and processes your business actually runs on — and that is where most AI initiatives get hard.
Enterprise integration brings real constraints: identity and access models, data governance, older systems without modern interfaces, reliability expectations and the need to fit into existing operations rather than beside them.
Those constraints are familiar territory. Our background is enterprise software architecture, and we bring the same discipline to AI: careful integration, security and governance carried through every layer, and production engineering that holds up when people depend on it every day.
Our background is enterprise software architecture. Connecting AI into complex estates — including the awkward, older parts — is where that experience matters most.
The most immediate value of AI is often helping people find and use what the organisation already knows — provided the answers are grounded and respect who is allowed to see what.
AI should not become a shortcut around your access controls. We carry identity, authorisation and governance through every layer of the solution.
A demo is easy. A system people depend on every day needs the same engineering discipline as any other production platform.
The systems, data, identity model and processes the AI must work with — and the constraints that come with them.
Integration patterns, data flows, security model and model choices, documented so they can be reviewed and challenged.
Build in verified increments, connecting to real systems early so integration risk surfaces in week three, not at go-live.
Production deployment with monitoring, access controls, audit and fallback behaviour in place.
Ongoing operational support and continuous improvement of quality and cost.
Usually, yes. Integration with legacy systems is a large part of enterprise software work, and there are reliable patterns for systems that were never designed to be connected — from database-level integration to purpose-built service layers.
By making retrieval and actions permission-aware, so the AI only ever works with information the requesting user is entitled to. Identity and authorisation are designed in from the start, not added at the end.
We are technology-flexible. We integrate commercial AI platforms and open-weight models according to your business, performance, security and cost requirements, and we hold no vendor quotas.
We can, under an ongoing support arrangement, or we hand over to your team with documentation, runbooks and paired working. Either way, operability is designed in from the beginning.
Tell us about your business challenges, operational bottlenecks or ideas for AI. We will help you explore what is possible and identify a practical path forward.
Preview assistant
Preview with scripted answers while we connect the AI.Talk to a person