Connecting AI to the Systems Your Business Already Uses

We review up to two of your existing systems — their APIs, data structures, and the way data currently flows between them. We then identify where an AI component could connect dependably, note the technical constraints, and write up a short set of practical options. The output is a document you own, and you decide what to do with it.

A single connector typically takes about five weeks from scoping to handover. That includes development, testing alongside your team, and preparing the documentation. If additional connectors are needed, we agree on a timeline before starting the next one.

It is not a strict requirement, but it helps. If you already have a clear technical picture of your systems and know which AI service you want to connect, we can discuss starting at the build stage. For most organisations that are newer to AI integration, the assessment prevents surprises mid-project.

The monthly service includes active monitoring of your integration connections, maintenance when something needs adjustment, and scheduled review calls. You receive a plain-language status report each cycle, and your named engineer is available for questions between reviews.

We work with a range of AI services — including language models, document processing APIs, classification services, and data enrichment tools. The assessment phase is where we confirm which services are a practical fit for your specific systems and data, rather than recommending a fixed list upfront.

Data handling is a primary concern in everything we build. We design integration layers with minimal data exposure — only passing what the AI service needs — and document what data moves where. For organisations with specific compliance requirements, we discuss those constraints during the scoping stage.