AI Chatbots That Work While You Sleep

Basic chatbots follow decision trees — they match keywords and return scripted responses. If a customer asks something outside the script, they hit a dead end. Our AI chatbots understand natural language and intent, can handle phrasing they've never seen before, hold multi-turn conversations with memory, and generate contextually accurate responses from your knowledge base. The user experience is fundamentally different — closer to talking to a knowledgeable colleague than pressing buttons on a phone menu.

No AI system is infallible, but we minimise hallucination risk through our RAG (Retrieval-Augmented Generation) architecture — the chatbot retrieves answers from your verified knowledge base rather than generating them from general training data. We also implement confidence thresholds: when the chatbot is uncertain, it escalates to a human rather than guessing. Post-launch, we review conversation logs and continuously improve accuracy. Most of our clients see resolution accuracy above 95% within the first month.

We build a custom knowledge base from your existing content — website pages, FAQs, product catalogues, policy documents, support tickets, training materials and any other relevant sources. This content is processed, embedded and stored in a vector database. When a customer asks a question, the chatbot retrieves the most relevant information from this store and uses it to generate an accurate, grounded response. The chatbot only knows what you tell it.

Absolutely — and we consider this a critical feature, not an afterthought. We design escalation triggers based on sentiment, topic, query complexity or explicit customer request. The handoff can route to your existing helpdesk (Zendesk, Freshdesk, Intercom, HubSpot), send a notification to your team, or open a live chat session — with the full conversation context passed across so the agent doesn't have to ask the customer to repeat themselves.

We support deployment across website chat widgets, WhatsApp Business API, Facebook Messenger, Instagram Direct, Slack, Microsoft Teams and SMS. Most clients start with website and WhatsApp — which together cover the majority of UK customer communication. Additional channels can be added at any time without rebuilding the core chatbot.

Yes. We architect chatbot solutions with GDPR compliance as a baseline requirement. Personally identifiable information (PII) in conversations is handled according to your retention policies, with automated deletion schedules where required. We do not use your customer conversations to train third-party models. All data processing is documented in a Data Processing Agreement (DPA) that we provide as standard. We can also deploy on-premise or in your own cloud environment for organisations with strict data sovereignty requirements.

A Starter chatbot typically takes 3–4 weeks from kick-off to go-live. An Advanced chatbot with multiple channels and integrations takes 6–8 weeks. Enterprise builds with custom fine-tuning and deep integrations typically take 10–14 weeks. The biggest variable is knowledge base readiness — the more organised your existing content, the faster we can move. We provide a detailed project plan after the initial discovery session.

Yes. Every chatbot we build includes an admin dashboard where authorised users can add, edit or remove knowledge base documents, review conversation logs, flag incorrect responses and update the chatbot's instructions. For most routine content updates — adding a new product FAQ, updating a policy — no technical knowledge is required. More complex changes (new intents, new integrations) we handle as part of our monthly support retainer.