Fini

Fini is an AI-powered customer support platform that deploys intelligent agents to handle customer queries with high accuracy and minimal human intervention. The platform claims to resolve 80% of customer queries automatically while boosting CSAT scores by 10% and reducing support costs by 50%. Built with enterprise-grade security including SOC 2, GDPR, and ISO 27001 compliance, Fini uses a RAGless infrastructure with native reasoning models to deliver 98% accuracy without hallucinations.

• Sophie AI Agent provides 24/7 inbound customer support, understanding customer intent and executing real actions like refunds, account updates, and card cancellations through proprietary AI flows.

• Self-Learning Knowledge enables the AI to learn from every interaction, continuously improving accuracy and response quality over time.

• Multi-Channel Deployment works on top of existing help desks including Zendesk, Intercom, Front, Salesforce, Gorgias, HubSpot, and Slack with 2-minute deployment.

• Agentic Actions allow the AI to perform real tasks beyond answering questions, including processing refunds, updating accounts, and handling complex customer requests.

• Product Intelligence transforms customer interactions into actionable insights for product, CX, and operations teams.

• Trust Metrics provide benchmarked measurements of AI accuracy and performance through the Paramount agent accuracy measurement system.

• EU Data Residency offers European enterprises dedicated data storage with full GDPR compliance and enterprise-grade security.

• AI Categorization automatically classifies and routes tickets with multilingual support across multiple languages.

To get started, users can sign up for a free trial with 50 questions included. The platform offers a 90-day free trial period, and enterprise customers with over 1M annual tickets receive a guarantee: if the AI doesn't deliver 80% automated resolution rate and improved CSAT, they pay nothing. Integration takes approximately 60 days to reach full Level 3 support capability, starting with FAQ-based responses and progressing to complex agentic actions.