Chatbots that answer properly and hand over when they should. We build conversational AI that handles real questions and connects to your systems.
A chatbot should answer common questions properly and hand over to your team when it needs to. That sounds simple, but getting it right requires careful design, solid integration, and ongoing attention. We build chatbots that actually work.
Most chatbot projects fail for predictable reasons: they cannot handle real questions, they frustrate users with loops, or they exist in isolation from business systems. We design against these failure modes from the start.
Our chatbots understand context. They remember what was said earlier in a conversation. They recognise when they are out of their depth and route to humans smoothly. They connect to your CRM, helpdesk, booking systems, or whatever else matters.
Every chatbot project starts with understanding your users. What questions do they actually ask? What frustrates them? What would a good experience look like? We analyse real enquiries, not imagined ones.
Design comes next. We map conversation flows, define the chatbot's personality, and decide how it should handle edge cases. This work happens before any code is written, because fixing design problems later is expensive.
Build and integration follow. We choose the right technology for your needs: Dialogflow, Rasa, or direct large language model integration depending on requirements. We connect to your existing systems so the chatbot can do genuinely useful work.
Testing is rigorous. We verify that the chatbot handles expected scenarios and degrades gracefully when it encounters unexpected ones. Real users test before launch.
Our clients use chatbots for:
Customer support: Answering frequently asked questions, checking order status, booking appointments, collecting information before handover to agents. Available around the clock without increasing headcount.
Sales and leads: Qualifying prospects, answering product questions, scheduling demonstrations, capturing contact details. Converting website visitors into pipeline.
Internal operations: HR enquiries, IT helpdesk triage, policy lookups, onboarding assistance. Reducing internal support burden.
We deploy chatbots wherever your customers are: your website, mobile app, WhatsApp, Facebook Messenger, Microsoft Teams, or phone systems. Most chatbots work across multiple channels from a single build.
We also design for security and control. That means clear data handling rules, safe defaults when confidence is low, and auditability so you can understand what the chatbot did and why. If your chatbot touches customer accounts or internal systems, we build the right guardrails and approval steps from the start.
Effective chatbots typically handle 60-80% of routine enquiries without human involvement. Response times drop from hours to seconds. Customer satisfaction improves because people get answers immediately instead of waiting in queues.
The economics work too. A chatbot costs a fraction of equivalent human capacity and operates continuously.
We have built chatbots for organisations including Help for Heroes, Model Office, Customs Clearance Consortium, and Fred Whitton Challenge. Each deployment solved specific business problems and delivered measurable results.
Use these prompts to define scope and set the quality bar before you build.
“What are the top 10 user intents we should support first, and what does ‘success’ look like for each?”
“Where should the chatbot hand over to a human, and what context must it pass across?”
“What integrations would make this chatbot genuinely useful, and what data access controls are required?”
Simple chatbots launch in four to six weeks. Complex projects with multiple integrations typically take eight to twelve weeks. We agree timelines before starting.
Yes. We build integrations with CRMs, helpdesks, booking systems, databases, and custom applications. If there is an API, we can connect to it.
It hands over to a human agent with full conversation context. Users never get stuck in loops or abandoned.
We ground responses in approved content, use structured outputs where appropriate, validate against systems of record, and provide safe fallbacks when confidence is low.
Yes. We can deploy the same core capability across web chat, messaging apps, Teams, or voice—depending on requirements and constraints.