AI agents for customer service

Most customer service work follows a pattern: someone asks a question that’s already answered somewhere in your business, or calls with something routine that just needs to be logged and routed. That work doesn’t need a person, it needs a system that never gets tired and never forgets to follow up.

We build two kinds of agents:

• Chatbots that answer from your own knowledge base, product catalog or order data, and hand off to a human the moment a conversation needs judgment, empathy or a decision outside their scope.
• An AI phone receptionist that answers inbound calls, filters spam from serious inquiries, handles common questions, and forwards warm leads with a structured summary by email or WhatsApp. See how the phone receptionist works.

Both run on the OpenAI Realtime API and ElevenLabs for voice, with a plain REST backend so the agent’s knowledge stays connected to whatever you already use: your CRM, your product feed, your FAQ.

Handoff is the part most AI vendors skip. Ours is built in from day one: every agent knows what it doesn’t know, and a human always gets full context when they take over.

The other half is buy-in. We build with the people who run your customer service day to day, so the system becomes theirs, not ours. At the fast-growing marketplace behind our Fin AI case, the head of support now manages the AI fully independently, from the knowledge base to the answers it gives.