Services / What we do
AI Integration
Put AI to work on a specific business problem.
Add document understanding, knowledge search and conversational support to the systems your team already uses.
Service overview
Start with the task. Build in the checks.
AI can be useful where information is unstructured or people need help finding an answer. We begin with a defined task, approved data and examples of good and bad outcomes. The integration includes evaluation, access controls, operating costs and a clear route to human review.
What we can help with
The capabilities behind the work.
Pick a capability to see the ready-made solutions where it is already running.
Alex website assistant
Ready-made solutionThe assistant on this website: grounded answers about KMCP, a consultation booked from the real calendar, and a route to the team when a person is needed.
See how it worksRetrieve relevant passages from an approved document collection and return answers with references. Respect the user’s access and make missing evidence visible.
Prepare structured fields or categories from incoming files. Validate the output against agreed rules and route uncertain results to a reviewer with the original source.
Built to orderAnswer questions from maintained business information, capture enquiry context and hand off to staff. Define which topics and actions the assistant may handle.
Scope voice-based information or administrative intake where it is useful. Define disclosure, consent, transcription handling, interruption and transfer to a person before implementation.
Prepare summaries, drafts and suggested next steps inside existing tools. Keep consequential actions behind the permissions and approvals your business requires.
Compare suitable models against representative tasks, latency and cost. Review hosted or self-hosted options according to data requirements and operating capacity.
Built to order
Built around your context
The details matter.
A few decisions to agree together before delivery begins.
Model outputs can be wrong; review and evaluation are part of the workflow.
Data access and provider handling must match the intended use.
Provider usage, hosting and maintenance costs need an explicit budget.
A few useful answers
Before we begin.
Every project starts with its own context. Here are the questions we hear first.
Do we need to choose an AI model first?
No. We start with the task, data boundaries and acceptable outcomes. We then evaluate suitable approaches against those requirements, including cost and operating constraints.
Can AI use our private documents?
Potentially, with an agreed access and information-handling design. We review what data can be processed, which provider or hosting model is suitable, and how document permissions and retention will work.
Will it take actions without staff approval?
Only actions explicitly included in the agreed scope should be possible. We define tool permissions and approval gates, and begin with human review where an error could create a consequential commitment.
Start a conversation
What could work better in your business?
Tell us where the work gets stuck. We’ll help you identify a useful starting point and the right scope for it.