Support automation that resolves, not deflects
Cut cost per ticket and response time with AI that answers common questions from your real knowledge, triages the rest and escalates with full context to your agents.
What this means for your support team
Support volume scales with your business, but a large share of tickets are repetitive questions your docs already answer. Agents burn out re-typing the same replies, response times slip, and cost per ticket climbs as you hire to keep up.
AI support automation handles the repetitive load. It answers common questions grounded in your real knowledge base with citations, triages and tags incoming tickets, drafts replies for agents and escalates complex cases with a full summary — so agents start informed instead of cold.
We build it to be honest: it resolves what it confidently can, and hands off the rest rather than frustrating customers with wrong answers. The outcome is lower cost per ticket, faster resolution and agents focused on the conversations that need a human.
What we build
Grounded resolution
Answers common questions from your real knowledge base with citations.
Auto-triage
Classifies, tags and prioritises incoming tickets so the right ones surface first.
Draft replies
Suggests accurate, on-brand replies agents can approve and send in one click.
Smart escalation
Hands complex cases to agents with a full summary and suggested next steps.
Multichannel
Works across email, chat and help-centre so the experience is consistent.
Insights
Surfaces top issues and doc gaps so you fix root causes, not just tickets.
Implementation details
| Capability Parameter | System Specification |
|---|---|
| Grounding | RAG over your help centre and docs with citations and abstention |
| Channels | Email, chat, help-centre and in-app support surfaces |
| Integrations | Zendesk, Freshdesk, Intercom and other helpdesk platforms |
| Safety | Confidence-gated auto-replies; honest handoff when unsure |
| Engagement | Pilot on top ticket categories, then expand coverage |
| Typical budget | ₹20L–₹45L / $20k–$55k depending on volume and channels |