Clear, owned outputs.
- Chatbot scope and conversation design
- Knowledge integration
- Configured chatbot on agreed channels
- Handover and helpdesk integration
- Analytics dashboard and improvement plan
Modern AI chatbots can understand natural questions and answer from your knowledge base, but they must also know their limits. We build chatbots for websites, apps and internal tools that answer accurately, take simple actions through your systems and pass conversations to people when that's the right thing to do.
The problems AI Chatbots solves.
Customer and employee chatbots grounded in your content, with human handover.
Rule-based chatbots frustrate customers with rigid menus.
Support teams answer the same questions repeatedly.
Previous bots gave wrong answers and damaged trust.
Chatbot conversations don't reach your CRM or helpdesk.
What AI Chatbots covers.
Conversation design
Scope, tone, flows and escalation rules.
Grounded answers
Responses based on approved content, with sources.
System actions
Checking orders, booking appointments or creating tickets via APIs.
Human handover
Passing context to a person when needed.
Channels
Website, app, WhatsApp, Microsoft Teams and Slack.
Analytics
Containment, satisfaction and unanswered-question reporting.
What makes a support chatbot useful.
People forgive a chatbot that hands over gracefully; they don't forgive one that traps them. We design the hand-off first.
- Scope
- The questions the bot answers, the ones it never answers and where it sends people instead.
- Grounding
- Answers drawn from approved help content and account data, not the model's general knowledge.
- Hand-off to people
- Escalation to a human with the conversation history attached, triggered by the user or by low confidence.
- Channels
- Website, app, WhatsApp, Teams or Slack, with the same knowledge behind each.
- Improvement loop
- Unanswered questions and poor ratings reviewed weekly and turned into new content.
Why it's worth it.
Faster answers
Customers and staff get help at any hour.
Relief for teams
People handle the conversations that need them.
Continuous improvement
Unanswered questions show where content is missing.
When AI Chatbots is the right move.
- A website assistant for product and service questions.
- An HR or IT helpdesk bot for employees.
- An appointment or enquiry assistant for a clinic or agency.
Technologies & platforms
- Azure OpenAI
- Anthropic Claude
- Microsoft Copilot Studio
- Dialogflow CX
- Intercom
- Zendesk
- Twilio
- WhatsApp Business Platform
How AI Chatbots work runs.
- 01
Scope
The task, users, content sources, risks and how success will be judged.
- 02
Prototype
A working prototype on real examples, reviewed by the people who will use it.
- 03
Evaluate
Test sets for accuracy, safety and edge cases, with human review.
- 04
Harden
Security, permissions, guardrails, logging and cost controls.
- 05
Launch and improve
Phased rollout, feedback loops and regular evaluation.
AI Chatbots questions.
Will the chatbot pretend to be a person?
No. Users should know they're talking to an AI assistant, and they should always be able to reach a person.
What happens when it doesn't know the answer?
It says so and offers handover or another route, rather than guessing. Those questions are logged so content can be improved.
Can it work in languages other than English?
Yes. Modern models support many languages; we test quality in each language you need.
Talk to us about ai chatbots.
Tell us which decision or process you want to improve and what data you have. We'll reply with whether it's a good fit and how we would test it.