Fin.ai

Fin.ai provides a single customer-facing agent that can handle multiple roles across the full customer journey—from day 1 to year 10. With a unified customer agent approach, it supports customer service, inbound sales, the entire shopping journey, and ongoing onboarding and re-engagement.

Fin works across key customer channels including voice, chat, email, Slack, and social, so customers get help where they already are. It combines proprietary AI models with customer history and context to deliver responses and take actions that align with both customer needs and business intent.

Core platform capabilities include configurable controls for tone, behavior, and knowledge; procedures for complex multi-step work; and a full testing suite (simulations, regression testing, and manual inspection) to build confidence before changes go live. An observability suite helps teams measure and monitor customer experience outcomes, surface insights and QA signals, and use recommendations to improve performance.

Fin integrates with helpdesks and tools across your stack. It is natively integrated with Intercom and also works with Salesforce, Zendesk, HubSpot, and Freshdesk, with additional connectivity via API, data connectors, or MCP. Fin supports enterprise-grade trust and safety features including security certifications and SSO options. Pricing is outcome-based, with configurable alerts, limits, and real-time reporting tied to value delivered through Fin.

What does Fin.ai do for customer teams?

Fin.ai acts as a customer-facing agent that can handle customer service, inbound sales, ecommerce shopping journeys, and customer success workflows—using shared customer context across roles.

Which customer channels can Fin.ai support?

Fin.ai works across voice, chat, email, Slack, and social channels, aiming to deliver consistent experiences regardless of where the customer reaches you.

How does Fin.ai connect to our existing tools and helpdesk?

Fin.ai integrates with helpdesks like Intercom, Salesforce, Zendesk, HubSpot, and Freshdesk, and can also connect via API, data connectors, or MCP to pull customer data and take actions.

Can we control how Fin.ai responds and behaves?

Yes. You can configure tone, behavior, knowledge, and related settings without needing engineering resources to make changes.

How does Fin.ai reduce risk when making updates?

Fin.ai includes a testing suite for simulations, regression testing, and manual inspection so changes can be validated before going live at scale.

How is pricing structured?

Fin.ai uses outcome-based pricing—paying for Fin when it delivers value—with configurable alerts, limits, and real-time reporting.