AI customer support that deflects — and knows when to hand off
Support AI isn’t a widget. It’s retrieval over trusted content, clear escalation, and deflection metrics your support lead believes.
Built for: For support and product teams drowning in tier-1 tickets with decent docs that customers don’t read.
Works best when: You can provide source documentation and want the assistant to cite, escalate, and stay within approved policy boundaries.
RAG + handoff to Zendesk/Intercom-class tools
What changes when this lands
Answers with citations
Bot shows where it learned — or refuses.
Human handoff that keeps context
Transcript + user identity into your helpdesk.
Knowledge freshness
Refresh jobs when docs change.
Deflection dashboards
Containment vs CSAT — not vanity chat counts.
Roles named. Steps clear.
Ticket themes
What can be safely automated.
Knowledge map
Sources of truth + owners.
Pilot intents
Top 10 deflection candidates.
Helpdesk wire
Create/update tickets with context.
Eval + red team
Policy traps tested.
Rollout
Gradual % of traffic.
One constrained engagement
SaaS support deflection (NDA)
Docs existed; chat queue didn’t scale.
Never invent billing exceptions.
Strict refusals on billing changes; retrieve policies; escalate with transcript.
- Meaningful deflection on how-to tickets
- Agents started with fuller context
What you actually get
- →Bot integrated on web/app
- →Helpdesk handoff
- →Eval set from real tickets
- →Ops guide for content owners
Objection killers
Which helpdesks?
Zendesk, Intercom, HubSpot, and similar via API — confirm yours in scoping.
Multilingual?
Possible; quality depends on source docs language coverage.
On-prem models?
When policy demands — latency and ops cost tradeoffs included.
Ready to talk scope?
Bring constraints. We’ll bring a timeline and a cut list. Free discovery call — response within 24 hours.
Also exploring? Case studies · Retainers