Build Intelligent Conversational AI That Delights Your Customers

A chatbot answers questions and routes conversations. An agent can also take action on your systems: create a ticket, update a record, trigger a workflow. Most projects start as a chatbot and grow into an agent once the conversation quality is proven. We build both, and we will tell you which one your problem actually needs.

We ground it in your own content using retrieval, so answers come from your documentation, help centre and product data rather than the model's training. That is what keeps it current and what makes an answer traceable back to a source when someone challenges it.

Retrieval grounding, a refusal path for questions outside its scope, and an evaluation suite that runs against a fixed set of real questions on every change. We also design the handoff to a human explicitly, because the safest answer to some questions is to pass the conversation on.

Web, mobile, and the messaging platforms your customers already use, along with voice where the use case supports it. The conversation logic is built once and adapted per channel rather than rebuilt.

A scoped first version handling a defined set of intents is a matter of weeks. Breadth of integration is what moves the timeline, not the conversational part. We scope it against your actual question volume during discovery.

Ongoing cost is driven by conversation volume, model choice and how much context each answer retrieves. We size this during discovery and design for it - caching, smaller models for routing, larger ones only where they earn their cost.

Yes, with the controls that fit your obligations: encryption in transit and at rest, access boundaries, audit logging, redaction before anything reaches a model provider, and self-hosted or in-VPC deployment where the data cannot leave your environment.

We agree the measures during discovery - containment rate, escalation rate, answer accuracy against a graded set, and customer satisfaction on resolved conversations - and instrument them from the first release rather than after launch.