AI Integration & Intelligent Automation
AI is useful when it is pointed at a specific, repeated, low-judgement task. We start from the workflow — not the model — design a human-reviewable process, and only then choose the technology. Every automation we build is observable, reversible and honest about its confidence.
Concrete outputs, defined before the work begins.
Workflow automation
Trigger → process → action pipelines that move data between your tools without manual copying.
AI assistants
Internal assistants grounded in your own documents and data, with clear boundaries on what they may do.
Intake and triage
Classify, enrich and route incoming enquiries, tickets or documents before a human opens them.
Evaluation and safeguards
Test sets, logging and fallback paths so an incorrect model output never silently becomes a business decision.
Situations this service is built for.
- 01
Incoming enquiries are read and sorted by hand every morning.
- 02
Meeting and support conversations are summarised inconsistently, if at all.
- 03
Staff answer the same internal questions from the same documents repeatedly.
- 04
Data is re-keyed between a form, a CRM and a spreadsheet.
A sequence that keeps feedback cheap.
- 01
Workflow audit
Document the current process, its volume, its edge cases and its cost in hours.
- 02
Automation design
Define what the system decides, what a human approves and where it stops.
- 03
Build and evaluate
Implement with real examples, measure accuracy, tune prompts and rules.
- 04
Operate
Monitoring, exception queues and periodic review as inputs change over time.
Often paired with this work.
Talk to us about AI Integration & Intelligent Automation
Every engagement starts with a written scope: what we will build, what we will not, the assumptions behind it and the shape of the timeline. No work begins without it.