Built to resolve the most complex queries on every channel

The Fin Flywheel is the continuous improvement loop that powers how Fin gets better over time. It runs in four stages: Train Fin on your Procedures, knowledge, and policies; Test performance with simulated conversations before going live; Deploy across every channel your customers use; then Analyze results with AI-powered Insights to find gaps and improve. Each stage feeds into the next, so every conversation Fin handles makes the next one more accurate.

Procedures let Fin handle complex queries with multiple steps, business logic, third party systems, or cross-team approvals. You combine natural language instructions with deterministic controls to create Procedures that follow your exact rules when needed, so Fin can resolve multi-step queries accurately and reliably rather than just answering simple questions.

Before launch, you run fully simulated customer conversations from start to finish with Simulations to see exactly how Fin will behave. You can watch what Fin is doing, when it is reasoning, and where it passes or fails. Save your Simulations to a central library and rerun them whenever you update a Procedure, so you catch anything that regressed before it reaches your customers.

Fin Voice brings Fin to the phone, delivering instant, natural conversations that feel human and never lose context. It is simple to set up, easy to preview, and works with all major telephony systems. When a call needs a person, Fin transfers it with full context so your team picks up where Fin left off.

Fin works across every channel your customers use, including phone, email, live chat, Slack, WhatsApp, and social, plus your own product through Fin's API. Fin delivers accurate, personalized responses in 45+ languages, so the experience stays consistent wherever customers reach out.

Fin is powered by Fin Apex 1.0, the best-performing model for customer service. In production, Fin Apex 1.0 outperforms frontier models with higher resolution rates, fewer hallucinations, and faster responses. Rather than adapting a general-purpose model, the Fin AI Engine is architected specifically for complex support queries, retrieving, ranking, and validating answers against your content before returning a response.

Fin works with Intercom and integrates with a range of external tools, including Salesforce, HubSpot, and Freshdesk. It follows your existing assignment rules, automations, and reporting setup, so your human team's workflow stays unchanged. When Fin escalates a conversation, it passes full context to your agents' preferred inbox.

Fin improves through the Analyze stage of the Fin Flywheel, which continuously monitors performance across every conversation, flags areas where Fin could not resolve queries, and surfaces prioritized content improvements you can apply with one click. The more Fin runs, the more data it generates to guide those improvements, creating a compounding effect on resolution rates as you iterate.

Fin is designed to go live quickly when your content is already in place. It connects directly to your existing knowledge sources, help center articles, and support workflows, so there is no migration or rebuild required. Teams with content ready to go can typically deploy within hours, not weeks.