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How we build and deliver
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AI chatbot and voice assistant development
Answer customer questions, qualify enquiries and help staff find information. We build assistants connected to your knowledge and tools, with clear handoffs to people.
Our expertise
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RAG-powered knowledge agents
Build assistants that retrieve information from approved documents and knowledge sources, with citations and evaluation of answer quality. -
Autonomous voice AI assistants
Develop voice assistants for defined support, scheduling or qualification workflows, with clear disclosure and handoffs to your team. -
Multi-channel support bots
Connect support workflows across suitable messaging channels and route requests to your business systems. -
Intelligent lead qualification
Collect relevant information from enquiries and route leads according to criteria agreed with your sales team.
Our tools
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Vapi
Connect voice conversations to application logic and APIs. -
Retell AIBuild and test voice-agent conversation flows. -
ElevenLabs
Add speech generation to voice experiences. -
LangChain
Coordinate language-model, retrieval and tool-use steps. -
Pinecone
Store and retrieve vector representations for semantic search. -
Python
Build custom logic and connect assistants to your business systems.
Frequently asked questions
Retrieval-augmented generation, or RAG, lets an assistant retrieve relevant information from your documents before generating an answer. It can improve relevance, but errors remain possible, so we evaluate answers and add source references or review steps where appropriate.
Voice quality and response time depend on the model, connection and workflow. We test the conversation on representative calls, including interruptions, unclear requests and handoffs.
Yes, where the calendar or booking system supports an appropriate integration. We define availability checks, confirmation steps and permissions before enabling bookings.
We agree on data access, hosting, retention and provider settings before development. Sensitive content can be restricted or excluded, and private infrastructure can be considered where required.
A chatbot answers questions; an AI agent can also use approved tools to carry out tasks. We define which actions are allowed and where approval or escalation is required.
The assistant asks agreed questions and records responses in your CRM. Your team defines the qualification criteria, permitted call flows and handoff rules.
What should your assistant help with?
Tell us who will use it, the questions or tasks it should handle and the tools it needs to connect to. We’ll discuss a useful first version.