Intercom Customer Solidcore Saves 12,000 Hours Annually With Fin AI Support.

Solidcore, a boutique fitness brand with more than 160 studios across the United States, has deployed Intercom's Fin AI agent to resolve support requests across multiple channels, saving the company an estimated 12,000 hours of manual work annually.

The case study, shared by Intercom on LinkedIn, highlights how the fitness company used AI to maintain personalized customer experience while scaling rapidly. Shane McCarthy, a solidcore executive quoted in the post, explained that as the brand expanded from a handful of studios to more than 160 locations, support consistency started to break down. Clients faced longer wait times, and coaches were increasingly pulled away from classes to handle routine support questions.

Fin handles customer inquiries across phone, email, and chat from a single system. According to Intercom, this multi-channel approach allows solidcore to resolve requests instantly without forcing customers to switch platforms or repeat information. The AI agent routes straightforward questions directly to resolution while escalating complex or sensitive issues to human agents.

This kind of channel consolidation has become a central pitch for Intercom as it positions Fin beyond traditional support use cases. The company recently expanded Fin into sales, announcing a dedicated sales role that handles inbound lead qualification from initial contact through hand-off to human reps.

For solidcore, the immediate payoff was operational. By automating repetitive inquiries about class schedules, membership questions, and location details, the company freed up coaches to focus on in-studio experience. The 12,000-hour annual savings represents time previously spent answering questions that Fin now resolves autonomously.

Intercom framed the solidcore deployment as evidence that companies must redesign workflows around AI rather than bolting automation onto existing processes. The LinkedIn post opened with a pointed claim: "You can scale customer experience without losing quality. But only if you redesign support around AI, not just add it on."

That positioning reflects a broader argument Intercom has been making as competition in AI-powered support intensifies. Tools like Crisp and Voiceflow also offer AI agents for customer service, but Intercom is betting that its integrated platform and focus on cross-channel orchestration will differentiate Fin in crowded markets.

The solidcore case also underscores a practical challenge for scaling service businesses: maintaining consistency as teams grow. In solidcore's case, the issue was not just volume but variance. With coaches across 160 studios fielding questions in addition to teaching classes, responses were inconsistent and quality suffered. Centralizing those interactions through Fin created a single source of truth for support content and ensured uniform answers across locations.

The solidcore announcement follows a series of Intercom product updates aimed at expanding Fin's role beyond traditional help desk functions. In addition to the sales role launch, Intercom recently introduced CX Score Reasons, a feature designed to surface the specific drivers behind customer satisfaction scores rather than relying solely on aggregate CSAT metrics.

These moves signal Intercom's intent to reframe its platform as a system for managing end-to-end customer and buyer experiences, not just resolving support tickets. Whether that strategy resonates with customers will depend on whether companies see value in consolidating multiple workflows into a single vendor or prefer best-of-breed tools stitched together with integration platforms like Zapier or Make.

For now, solidcore's results offer a concrete data point: 12,000 hours saved, faster responses, and support that scales without adding headcount. That is the kind of ROI calculation that gets attention from operations leaders evaluating AI investments.