AI chatbots
Most chatbots fail because they were never given the right information. We ground yours in your actual documentation, products and policies, so it answers accurately — and escalates rather than guessing.
Quick answer
An AI chatbot grounded in your own content can resolve a large share of repetitive questions — pricing, availability, policies, order status — and qualify leads before they reach your team. The critical design decisions are what data it can see, when it must escalate to a human, and how you measure whether its answers are correct.
Deliverables
- 01
A bot grounded in your docs, products and policies
- 02
Lead capture and qualification wired into your CRM
- 03
Clean handoff to a human with full context
- 04
Analytics on what people actually ask
About ai chatbots
How do we stop it giving wrong answers?
By grounding it in your real content rather than letting it improvise, restricting scope, and making it say it will fetch a human instead of guessing. We test against real questions before launch.
Can it work on WhatsApp?
Yes — WhatsApp, your website, Slack or a mix. The same underlying agent can serve several channels.
Tell us what your team repeats.
We reply within 24 hours with honest questions — and tell you if this is not the right service for your situation.
AI agents
Agents that take real actions across your tools — drafting, updating, escalating. Not chat demos.
02AI voice agents
Your phone answered 24/7. Calls handled, appointments booked, leads captured and logged.
03Workflow automation
Make, n8n and Zapier pipelines that move the data so nobody re-types it.