Solve the known issues. Escalate the real ones.
An AI agent grounded in your documentation resolves repeat questions on chat, WhatsApp and phone, triages what it can’t, and hands your engineers structured tickets with context.
Your engineers answer the same ten questions between every real incident.
Built on trusted infrastructure
The platform, mapped to your busiest moments
Your docs, finally self-serving
Setup guides, FAQs and troubleshooting steps become instant grounded answers instead of links nobody reads.
AI Knowledge Base →Support chat on your site and app
One embed tag puts a capable support agent on every page, answering from your real documentation.
Website Chat →A support line without hold music
Callers get immediate help for known issues and clean escalation for everything else.
AI Voice Agents →Structured triage, not chat logs
Product, issue type, urgency and reproduction details captured as structured records your team can act on.
Lead Capture & CRM →Support where customers already are
WhatsApp support with instant AI answers and a staffed inbox for the escalations.
WhatsApp Automation →See your top issues
Transcripts and volumes reveal the issues costing you the most support time — your fix-first list.
Analytics & Reporting →What it looks like in practice
The password-reset parade
The same how-do-I question arrives for the hundredth time.
- AI answers with the exact steps from your docs
- Confirms the customer is unblocked
- Logs the resolution on the contact
→ Zero engineer minutes spent on question one hundred.
Out-of-hours incident
A customer hits a real bug at 2am.
- AI recognises it can’t resolve and captures a structured report — product, version, steps, impact
- Flags urgency per your rules
- Your on-call engineer starts with a complete ticket
→ Morning triage becomes a two-minute read.
Pre-sales technical question
A prospect asks whether you integrate with their stack.
- AI answers from your integration docs
- Captures the prospect’s stack and use case
- Routes the qualified lead to sales
→ Support surface becomes a sales channel.
Status and follow-up
A customer asks “any update on my issue?”
- AI checks the conversation history and gives the recorded status
- Offers escalation if the customer is blocked
- Notifies the assigned engineer
→ Fewer chase-ups reaching engineers, better-informed customers.
Not your sector? We cover more
Common questions
How does it stay accurate about our product?
It answers only from your uploaded docs and knowledge. When docs change, update the knowledge base once and every channel answers the new way.
What happens when it can’t solve an issue?
It says so, captures a structured escalation with the details your engineers need, and routes it per your rules. Honest fallback is built in.
Can it integrate with our ticketing system?
Webhooks and the API let you push captured issues into your existing ticketing flow; native integrations are on the roadmap — tell us your stack.
Will it frustrate technical customers?
It resolves known issues instantly and escalates fast when it should — the opposite of the deflection-bot loop technical users hate.
Can it support multiple products?
Yes — knowledge can cover multiple products, and agencies or MSPs can run separate workspaces per client.
How do we measure deflection?
Reports show conversation volumes and outcomes; transcripts show what was resolved without a human. You’ll see the repeat questions disappear from your queue.