Key Takeaways

  • Insait IO has rebranded as Encore AI alongside a $30 million Series A led by Team8, Planven and The Garage.
  • Encore AI’s Interaction Mining technology turns successful employee behaviors into autonomous or assistive AI agents.
  • The funding will support expansion among large financial institutions, in the U.S. market and across Encore AI’s global operations.

Encore AI has raised a $30 million Series A to expand an enterprise agentic AI platform designed to generate revenue from customer interactions. The financing coincides with the decision to retire the Insait IO brand and operate as Encore AI, giving the New York-headquartered business a name more closely tied to its commercial pitch.

Team8, Planven and The Garage led the round. Several large commercial banks and insurers also participated, according to Encore AI. Some of those financial institutions initially adopted the platform as customers and subsequently became investors. That overlap offers a useful signal, although Encore AI did not disclose its valuation, total funding or the identities of the participating banks and insurers.

The premise is straightforward: businesses already possess large collections of calls, chats, emails and CRM records that show how their strongest employees handle customers. Encore AI’s patented Interaction Mining technology analyzes those records, identifies actions associated with successful outcomes and uses the findings to configure AI agents. Those agents can work autonomously or assist human employees across voice, chat, interactive voice response and live form-fill workflows.

Much of the contact-center AI market focuses on deflection, automation and lower handling costs. Encore AI is taking a different route, positioning customer conversations as potential sources of incremental revenue. Its agents are intended to convert leads, complete applications, recover balances and identify upsell or cross-sell opportunities. The platform's deployments will test whether this revenue-oriented model remains reliable when conversations become complicated or emotionally charged.

Gartner 2024 projected that about 75% of customer-service interactions would be driven by AI-powered agents and self-service technologies by 2026, up from 40% in 2022. Meanwhile, McKinsey 2023 estimated that generative AI and advanced analytics could increase productivity in customer operations by as much as 45% and reduce call-handling times by 20% to 50%, with financial services and telecommunications among the prominent use cases.

Forrester 2023 found that 54% of enterprises were piloting or using AI-powered conversational interfaces in customer service, while only 24% had scaled them. Encore AI is targeting that gap by learning from an enterprise’s actual operating data rather than relying solely on generalized scripts or lengthy manual configuration.

Banks and insurers need controls covering customer consent, data retention, access, model monitoring and the treatment of sensitive information. They also need auditable explanations of how an agent reached a recommendation or performed an action. Encore AI says its compliance architecture supports demanding regulated environments and multiple languages, but buyers will still need to assess governance, escalation procedures and performance across customer groups.

Encore AI says implementations can go live within weeks because the platform ingests existing interaction and CRM data instead of requiring months of configuration and tuning. One of Encore AI’s largest lending customers achieved a 10x return on investment within months, according to the company. However, the customer, deployment scope and underlying calculation metrics were not disclosed.

The new capital will support expansion into large financial institutions and the U.S. market, while extending Encore AI’s global deployment. The core challenge comes next: proving that behaviors extracted from top performers can be reproduced consistently, compliantly and at enterprise scale without turning every customer conversation into an overly aggressive sales exercise.