Service
AI Chatbot & Conversation Systems
Conversational systems that answer customers across chat, WhatsApp, and web — and hand off to a person when they should.
Who this is for
- Businesses answering the same questions repeatedly across channels
- Teams losing enquiries that arrive outside working hours
- Companies running separate tools per channel that share no context
The problem
The common failure is not that a chatbot cannot answer questions. It is that it answers confidently when it should not, or that it traps someone who needed a person from the start.
The second failure is fragmentation: a widget on the website, something else on WhatsApp, and no shared memory between them. A customer who switches channel starts over, which is worse than having no automation at all because it wastes a conversation that was already going well.
Grounded in your content, not general knowledge
A conversation system for a business should answer from that business's actual material — its services, policies, availability, and records — rather than from a model's general knowledge. That means building a retrieval layer over your content so answers trace back to something real.
It also means the system should be able to say it does not know. An answer of "let me get someone who can tell you properly" is a good outcome; a confident wrong answer about a price or a policy is not.
Handoff as a first-class step
Every conversation system I build has an explicit route to a person, and the threshold for taking it is set deliberately rather than left as a fallback. Anything ambiguous, sensitive, or commercially significant should reach someone who can own it.
The handoff carries context. Whoever picks it up sees what was already discussed rather than starting the conversation again, which is the part that decides whether customers experience the automation as helpful or as an obstacle.
What you get
- A conversation system deployed on the channels you actually use
- A retrieval layer over your own content so answers are grounded
- Configured handoff rules and routing to your team
- Documentation and handover
Most chatbot builds go live in 1–2 weeks depending on scope.
When this is the wrong fit
Worth saying plainly rather than finding out after a build starts.
- You need it to give regulated advice — that needs a qualified person
- There is no content or policy for it to ground answers in yet
Think this fits what you're trying to do? Let's talk it through.
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