IBM and Quant AI Transform Contact Centres with Ava

Why It Matters

Ava’s performance gains demonstrate how agentic AI can dramatically cut costs and improve customer satisfaction, setting a new benchmark for AI adoption in the insurance contact‑center market.

Key Takeaways

• Ava resolves 84% of calls, cutting average handling time by 3 minutes
• First-call resolution climbs to 86%, up from 71% pre‑deployment
• Supports English and Spanish, handling policy, claims, payments, documentation
• Deployed with Fortitude Re, showcasing AI in reinsurance contact centers
• IBM‑Quant AI adds reasoning layer linking systems, humans, decisions

Pulse Analysis

The partnership between IBM and Quant AI reflects a broader industry move toward agentic artificial intelligence—systems that act autonomously while staying tethered to human oversight. Ava combines natural‑language voice and chat interfaces with a reasoning engine that can authenticate users, process transactions, and route complex issues without losing context. By supporting both English and Spanish, the platform addresses the multilingual demands of global insurers, positioning IBM’s cloud and AI infrastructure as the backbone for next‑generation customer engagement.

Performance metrics from the Fortitude Re pilot underscore Ava’s operational impact. Resolving 84% of inbound calls and trimming average handling time by three minutes translates into significant labor savings and higher agent productivity. The jump in first‑call resolution from 71% to 86% also signals a smoother customer journey, reducing repeat contacts and associated costs. For insurers, these efficiency gains free up resources for higher‑value tasks such as underwriting and risk analytics, while delivering a more responsive, AI‑first experience that modern policyholders expect.

Looking ahead, the deployment signals a tipping point for the insurance sector’s digital transformation. Executives like Quant AI’s Chetan Dube predict that within three years most enterprises will embed agentic AI across front‑ and back‑office functions, moving beyond fragmented automation to a unified reasoning layer. IBM’s involvement provides the scalability and security needed for such ambition, but challenges remain around data privacy, model transparency, and workforce reskilling. Companies that successfully integrate AI agents like Ava will likely gain a competitive edge, setting new standards for speed, accuracy, and personalization in the increasingly AI‑driven financial services landscape.