🔴AI Just Ate Customer Support

What's actually working in AI-powered customer experience — and where to see it live.

AI customer support has moved past the chatbot-that-frustrates-everyone phase. This week we're looking at Fin, the AI customer agent from Intercom, what makes it different from the wave of "AI support" tools flooding the market, and an upcoming webinar where you can see it running on AWS infrastructure at enterprise scale.

Customer expectations keep rising. Support budgets don't. On July 9, Fin and AWS are hosting a live executive session on how leading enterprises close that gap: scaling AI-powered support while simplifying how they buy it.

You'll see how to resolve an average 76% of conversations with Fin on AWS enterprise-grade infrastructure, procure through AWS Marketplace to put committed cloud spend to work, and turn the Fin and AWS collaboration into lower support costs. Register for the live session to see how.

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Fin bills itself as the highest-performing customer agent on the market — and the numbers back up the claim more than most vendor pitches do. <cite index="1-1">Fin has industry leading resolution rates, averaging 76% across more than 12,000 customers, with many seeing over 85%.</cite> More notably, <cite index="1-1">Fin keeps improving with use, currently handling 2 million weekly resolutions with the average resolution rate climbing about 1% every month.</cite>

It's not a niche tool either. <cite index="1-1">Customers include Anthropic, Clay, Lightspeed, Rocket Money, and Gamma, spanning software, retail, gaming, and regulated industries like financial services.</cite> <cite index="1-1">On G2, Fin holds a 90% satisfaction score — eight points ahead of its nearest competitor.</cite>

What's driving the performance isn't a generic LLM wrapper. <cite index="1-1">Fin runs on proprietary models called Apex 1.0 and Apex Flash, custom-trained on billions of customer experience interactions.</cite> Compared to Anthropic's Sonnet 4.6, <cite index="1-1">Intercom reports a 2.8% higher resolution rate, 0.6 seconds faster time to first token, and a 65% reduction in hallucinations.</cite>

It's also built to go beyond simple Q&A. <cite index="1-1">Fin can update accounts, process payments and refunds, and troubleshoot technical issues by reading and writing to complex third-party systems.</cite> And it isn't locked to one channel or helpdesk — <cite index="1-1">it works natively across voice, chat, email, Slack, and social, and integrates with Salesforce, HubSpot, Freshdesk, and other helpdesks beyond its native home in Intercom.</cite>

For anyone wondering whether this is production-ready for a large organization: <cite index="1-1">Fin is built for continuous uptime with regional redundancy, backed by a 99.8% SLA, and holds SOC2, ISO 27001, ISO 42001, AIUC-1, ISO 27701, and HIPAA certifications.</cite> <cite index="1-1">It supports SSO through Okta, Azure AD, and OneLogin, along with 2FA, SCIM, and IP restrictions, with data hosted in the US, EU, or Australia depending on residency needs.</cite>

Pricing is also structured differently than most SaaS tools. <cite index="1-1">Intercom pioneered outcome-based pricing for AI support — meaning you only pay when Fin actually resolves something — and was reportedly about a year ahead of most competitors in bringing that model to market.</cite>

The advantage of Fin on AWS for AI-powered customer experience

If you're evaluating AI customer support tools for your own team, this on-demand session is worth 30 minutes of your time. It covers how enterprises deploy Fin on AWS infrastructure to resolve more support tickets, cut procurement complexity, and scale support without adding headcount.

If your team is still fielding repetitive support tickets manually, spend 15 minutes mapping out your three most common ticket types. That's the fastest way to tell whether a tool like Fin would actually move the needle for you — or whether your bottleneck is somewhere else entirely.

That's it for this week. Reply and let us know if you want more deep dives like this — AI tooling, SaaS trends, or back to personal finance and alternative investing.

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