Insurance Customer Experience Software

Yes. If the AI is built to reason rather than follow a script. Many earlier chatbots relied on rigid decision trees and broke down the moment a policyholder went off-script. One reason JD Power's 2026 U.S. Insurance Digital Experience Study found only 11% of customers use insurer chatbots, and satisfaction with insurer digital CX declined again this year. NiCE's agentic AI reasons through context instead of following a script, carrying a renewal conversation or claims intake through multiple steps instead of deflecting to a form or a queue.

Yes. AI agents can manage claims intake, identity verification, documentation, and routing autonomously, while complex or sensitive claims are escalated to human agents with full context already captured, preserving empathy where it matters most.

NiCE AI Agents for Proactive Engagement identify policyholders likely to lapse and reach out with personalized renewal conversations before contracts end. Insurers using this approach have reduced cancellation rates from 14% to 6% at contract end, with 90%+ of conversations fully automated.

Yes. CXone connects through APIs and pre-built integrations with policy administration, claims management, and CRM systems, so AI agents and human agents can act with full context and complete tasks faster.

NiCE AI Agents are built for supervised orchestration-with human-in-the-loop escalation, configurable guardrails, and full audit trails across every policyholder interaction. Every AI interaction is recorded and stored by default, compliance policies can be adjusted without retraining the model, and governance dashboards flag gaps in real time rather than in next month's report. That maps directly to what the NAIC Model Bulletin on AI, now adopted in some form by more than half of U.S. states, expects from insurers. Same goes for the UK's FCA and PRA and Australia's APRA. Use NiCE's Insurance AI Governance Checklist to evaluate your own AI deployments against these standards.