Concierge
Customer support that doesn't read like a bot.
RAG agent over your docs, FAQs, and past tickets. Answers cleanly, opens a ticket when it can't, and hands off to a human with the full context already loaded.
Most support bots fail because they answer when they shouldn't. The right behavior is narrower than "helpful": answer cleanly when sure, refuse cleanly when not, escalate with full context loaded.
A RAG agent over the company's docs, FAQs, and resolved tickets. Cites sources on every answer. Below-threshold confidence opens a ticket and hands off to a human — with the conversation, the relevant docs, and the agent's best guess attached. The same patterns power Sage on this site.
- 01RAG over docs, FAQs, and resolved tickets
- 02Confidence-gated answer-vs-handoff
- 03Context preloaded for the human picking up
- 04Drift watcher catches answer-quality regressions
Concierge runs on 5of the studio’s patterns.
These are the standardized agents and automations nested inside this product. The same pieces show up — with the same contract — across every app the studio builds.
- Router
Decides answer-now vs. open-ticket vs. escalate
Classify the inbound. Send it to the right place.
- RAG Answerer
Answers customer support questions from docs + tickets
Answer from your data. Cite the source. Refuse when unsure.
- Trace Logger
Decision trail for routing + escalation
Every decision an agent makes is auditable.
- Gatekeeper
Reviews ambiguous answers before they ship
Human-in-the-loop for the calls that matter.
- Eval Runner
Gates answerer + escalation deploys
Every agent ships with a test set it has to pass.
Bring the question.
The Automation Studio mode builds patterns like the ones above into your product, then keeps them tuned.
The rest of
the body of work.
One flagship live, more in build. Every product runs the same standardized stitch underneath.