Support
Fin AI Self-Learning FAQ
An AI agent trained on your knowledge base resolves 40%+ of support tickets and learns from every new human answer.
The problem
Every support agent answers the same FAQ 50 times a day. Your knowledge base exists but no one searches it. New repeat questions never get added — so the cycle never breaks.
- ▸ 40% load reduction on day-1 deployment baseline
- ▸ 150+ typical Q&A pairs cover most of inbound volume
- ▸ Self-learning loop: KB grows ~10-20 articles/month with zero manual upkeep
Our solution
Intercom Fin AI loaded with your full knowledge base (~150 typical Q&A). When a novel repeated question appears, Fin watches the human's answer, summarizes it, proposes a new KB article, and starts answering it next time. KB grows automatically.
How it works
- 01KB ingestionExisting help center, FAQ docs, internal wikis, and Notion pages imported into Intercom. Fin chunks and embeds them.
- 02Custom guardrailsBrand voice, prohibited topics, escalation triggers (refund, complaint, B2B inquiry) configured per your playbook.
- 03Live answeringFin AI replies to every inbound question. Cites sources. Handles follow-ups in conversation. Escalates when confidence drops.
- 04Self-learning loopWhen Fin escalates and a human answers, Fin proposes a new KB article. Admin reviews + approves in one click — Fin starts answering it next time.
- 05Hand-off with contextOn escalation, Make.com summarizes the conversation via GPT-4 and pushes a structured Deal into Pipedrive (for sales-relevant questions).
- 06Performance dashboardWeekly report: % resolved by Fin, top unresolved questions, KB articles added, CSAT split (Fin vs human).
Tools we use
Intercom Fin AIMake.comOpenAI GPT-4PipedriveNotion
Expected outcomes
- ✓40%+ tickets resolved by Fin on day 1, scaling toward 60-70%
- ✓KB grows 10-20 articles/month without manual upkeep
- ✓Support team reallocated from FAQ to high-value escalations
- ✓CSAT on Fin-resolved tickets matches or beats human (instant + accurate)
Best for
Support teams handling 200+ tickets/day with an existing knowledge base — SaaS, eCommerce, fintech, marketplaces.
Pricing tier
Enterprise
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