Fin Voice 2 Achieves 24.5% Higher Resolution Rates With Specialized AI Model
Fin, the customer service AI platform formerly known as Intercom, launched Fin Voice 2 on June 8. The new version resolves customer issues 24.5% more often than the original, responds roughly half a second faster, and is built on Apex Flash, a model designed specifically for support interactions rather than general conversation.
The shift from a general-purpose model to a specialized one reflects a broader change in how businesses evaluate voice AI. Early systems were judged on conversational ability. Now, support teams care whether the AI actually solves problems.
What Changed
Fin Voice 2 connects directly to business systems to complete tasks without transferring calls to human agents. The faster response time reduces the pauses that make voice AI feel artificial. Higher resolution rates mean more issues get solved in a single conversation.
The system also provides real-time visibility into which conversations remain unresolved, creating a feedback loop for continuous improvement.
What This Means for Your Team
For support staff, higher automation on routine issues frees capacity for complex or sensitive cases. You get clearer data on where customers encounter friction, helping identify process gaps.
For support leaders, the system scales phone support without proportional increases in staffing, training, or quality assurance costs. Consistency and resolution rates improve while visibility over service quality increases.
Eoghan McCabe, CEO of Fin, said voice AI has reached the maturity needed for mainstream adoption in customer support. "Voice is just extremely hard," he said. "The future of customer experiences will be agent-driven voice, and that changes today."
Learn more about AI for Customer Support and how AI Agents & Automation are reshaping support operations.
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