AI Assistants & Chatbots

Assistants that answer from your knowledge — for customers, teams, and leadership.

Support assistants that deflect real ticket volume because they are grounded in your documentation. Internal assistants that make scattered company knowledge answerable. Meeting intelligence that turns conversations into notes and actions automatically. All with escalation design, so a human is one step away when it matters.

• Customers get instant answers grounded in real documentation
• Internal questions stop interrupting the people who know
• Meetings turn into notes, decisions, and tracked actions on their own

What this usually includes

• Customer-facing assistants grounded in your docs and policies
• Internal knowledge assistants over wikis, drives, and systems
• Meeting transcription, summaries, and action extraction
• Escalation, handoff, and tone-of-voice design

Best fit for

• Support teams with volume that keeps growing
• Organisations whose knowledge lives in ten different places
• Leadership teams losing decisions and actions in meetings

A delivery approach grounded in operations, not hype

1. Audit the knowledge sources and the questions people actually ask
2. Pilot on real conversations and measure resolution honestly
3. Roll out with monitoring, feedback loops, and tuning

What we can build for you

• A support assistant that answers from your help centre and release notes, and files a properly tagged ticket the moment it's out of its depth
• 'Where is my order?' answered straight from your TMS and carrier feeds, before it ever becomes an email
• Patients get instant answers on appointments, preparation and billing; anything remotely clinical goes straight to your staff
• Lawyers pull precedent clauses and past advice straight out of your document management system, with a citation on every answer
• For mortgage lenders: an assistant that explains products and eligibility from approved documents only, with a full audit trail behind every answer
• On the shop floor, operators get machine-fault answers drawn from your manuals and service history, in whichever language they actually speak
• A retail assistant that checks live stock, sizing and returns policy against your commerce platform before it promises a customer anything
• Council residents ask about permits, bins and benefits in their own language; the answers come from official policy pages and nowhere else
• Policy, payroll and access questions answered properly, instead of dying in the HR and IT shared inbox
• Meeting intelligence that turns board and project calls into minutes, decisions and actions with named owners, filed straight into your task system

Frequently asked questions

How is this different from the chatbot add-on our helpdesk already offers?

Helpdesk add-ons answer from one scripted knowledge base and stop there. We ground assistants in the places your knowledge actually lives: Confluence, SharePoint, policy PDFs buried on a shared drive. Every answer carries a citation. And because we're LLM-agnostic with no per-seat licensing, the assistant slots into the helpdesk and CRM you already pay for rather than becoming yet another platform. Escalation to your team is designed in from day one, not bolted on afterwards.

Where does our data go, and how do you stop the assistant making things up?

It stays on EU-based, GDPR-aligned hosting, and because we're not tied to any one model vendor, we can run whatever configuration your data policy requires. The assistant answers only from sources you've approved, cites them, and is built to say 'I don't know' and hand over to a human rather than guess. One thing we won't claim is that any language model can be made incapable of error. It can't, which is exactly why grounding, citations and escalation come as standard in everything we ship.

How long until it's answering real questions from customers?

We start with a scoped pilot: one high-volume topic, grounded in documents you already have, tested in a staging channel before a single customer sees it. Expect weeks rather than months. The slow part is almost never the AI; it's usually the state of your documentation, and sorting that out with you is part of the build.

When would you tell us not to build one?

Three situations. If your documentation is thin or contradicts itself, an assistant will faithfully amplify the mess, so we'd start with a knowledge clean-up instead. If volumes are low and every enquiry is genuinely bespoke, a well-routed human reply is the better product. And wherever an answer would amount to regulated advice, medical or financial, the assistant's job is to gather context and hand over, not to answer.

Explore the connected parts of the offer

• AI Integration — AI added to the software and systems you already run — not another tool on the side.
• AI Automations — Use AI where it improves throughput, quality, and decision support.
• Agentic Workflows & Orchestration — Multi-agent systems that carry a process end-to-end — planning, acting, verifying, and escalating like a well-run team.

Discuss this service: [email protected]