From resolutions to outcomes: Evolving how Fin delivers value

In 2023, the pricing model for AI agent Fin evolved from being based solely on resolutions, where the AI fully resolves a customer's issue, to a more comprehensive outcome-based approach. This shift acknowledges that the value of AI lies not only in complete automation but also in effectively handling complex tasks that may require collaboration with human agents. As Fin's capabilities have expanded to tackle more intricate queries, the definition of success has broadened to include procedures where Fin gathers information and performs actions before handing off to human agents. This new pricing strategy allows for more nuanced use of Fin, empowering teams to design workflows that meet compliance needs and incorporate human oversight when necessary. The transition to outcome-based pricing reflects the company's commitment to aligning pricing with value, maintaining fairness, and ensuring competitiveness, as Fin continues to develop into a comprehensive "Customer Agent" capable of managing the entire customer experience.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.