IG Group uses Fin for customer support. Intercom quotes IG reporting chat deflection of up to 70%, an 80% Fin resolution rate, and "millions of dollars" in cost savings.
Reported outcomes
chat deflection
up to 70%
Source [1] · self-reported
Fin resolution rate
80%
Source [1] · self-reported
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Fin answers inbound support conversations using the company's help content.
- Hands unresolved conversations to human agents.
Risks & compliance
- Incorrect answers to customers; human review and escalation paths needed
- Vendor-published results; not independently audited
- Financial-services disclosures and account security
Build this yourself
Tools mentioned & how to build it
Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.
Tools mentioned
- Fin AI Agent (Intercom)
Intercom's customer-service AI agent; the most-documented tool in the casefile.
Build a version yourself
- HubSpot (Breeze agents)
SMB-friendly CRM with Breeze AI agents for prospecting and support. - n8n
Open-source workflow automation with AI agent nodes; self-host or cloud. - Relevance AI
Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.
Sources
“Some of our deflection rates on chat have reached highs of up to 70%, which is really great for us.”IG Group and Fin
Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
