An internal helpdesk that actually helps
Staff ask “what's our process for…?” and get an instant answer from your own SOPs, with a link to the source document.
AI tailored to your company — grounded in your documents, data and processes, speaking in your voice, running where your data is allowed to live.
General-purpose chatbots know a little about everything and nothing about you. We build and customise large language model (LLM) solutions around your company — trained on how you work, grounded in your own knowledge, and wrapped in the controls a real business needs.
Ask questions across your policies, manuals, contracts and tickets and get accurate answers with the source cited — securely, with permissions respected.
Prompt engineering, retrieval and, where it pays off, fine-tuning — so the model understands your terminology, tone, products and processes.
Add intelligent search, summarisation, drafting, classification and recommendations to your existing software or customer experience.
We pick the right model — commercial or open-source — for quality, cost and privacy, and deploy it in EU cloud regions or on infrastructure you control.
Test suites built from your real-world cases, accuracy measurement, safety checks and live monitoring, so quality is something you can measure — not hope for.
Workshops to find and prioritise the right use cases, an AI usage policy for your team, and a practical route to EU AI Act readiness.
A few illustrative examples of the kind of work this covers.
Staff ask “what's our process for…?” and get an instant answer from your own SOPs, with a link to the source document.
Sales teams generate first drafts of proposals and tender responses grounded in your previous winning bids and product information.
Engineers search years of manuals, service records and fault reports in plain English instead of relying on the one person who remembers.
Incoming contracts are summarised and compared against your standard terms, with deviations highlighted for a person to review.
Rarely. Most of the value comes from grounding a strong existing model in your own data and processes. We only recommend fine-tuning or custom models where the improvement clearly justifies the cost.
Wherever it's allowed to. We can keep everything in EU regions, use providers that contractually don't train on your data, or run open-weight models entirely on infrastructure you control.
We help you understand where your use cases sit, and we build in transparency, logging and human oversight from the start — making compliance far easier than retrofitting it later.
Before launch we build an evaluation set from real questions and documents in your business and measure accuracy against it. After launch, quality is monitored continuously and regressions are caught early.
A short, no-obligation conversation is usually enough to tell whether software or AI can help — and roughly what it would take.