Real Takeaways
- AI is now mandatory, not optional: Leading carriers have moved past experimentation to disciplined, outcome-based deployment.
- Legacy tech is a liability: Old architectures cannot support the velocity or coordinated intelligence required for modern underwriting.
- Intent drives success: AI initiatives must solve specific business problems—like claims efficiency or customer loyalty—to avoid becoming costly distractions.
- The ROI is proven: Insurers are seeing up to 20% higher new-agent success rates, 15% premium growth, and 40% lower onboarding costs.
- Governance builds trust: AI governance is no longer just compliance; it is a critical market differentiator and competitive advantage.
Reflecting on InsureTech Connect 2025, one theme dominated the conversation among the 9,000+ attendees: the insurance industry has crossed a critical threshold from AI experimentation to AI expectation.
The carriers pulling ahead are no longer just testing capabilities—they are deploying them with intentional discipline. Leaders are anchoring every investment in measurable business outcomes, revealing a widening gap between those scaling AI and those stuck in proof-of-concept.
Three Strategic Shifts Driving Separation
- Architectural Evolution: We are moving from monolithic models to Agentic AI—modular, multi-agent systems capable of autonomous reasoning across claims, underwriting, and customer engagement. Traditional architectures are becoming competitive liabilities.
- Strategy Realignment: Successful carriers are adopting AI-first strategies that prioritize trust and ethics, particularly in underwriting and risk assessment.
- Data Foundation: Legacy architectures cannot support the velocity AI demands. Every day your data architecture isn't AI-ready is a day you subsidize your competitors' advantage.
The Strategic Imperative: Purpose Over Technology
The industry has moved beyond "AI for AI's sake." Without clear intent—whether improving claims efficiency or enabling embedded insurance—AI initiatives risk becoming costly distractions. Leaders at ITC emphasized that purpose-driven AI must:
- Align with Business Outcomes: AI is driving real value, with new-agent success rates rising by 20% and customer onboarding costs dropping by 40%.
- Be Ethically Grounded: Governance is not just compliance; it is a market differentiator that builds trust.
- Deliver Tangible Value: From real-time underwriting decisions to personalized engagement, AI must deliver speed and scalability on modern, cloud-native platforms.
Executing the Future
Building this future requires more than technology; it requires a strategic framework. At Perficient, we help clients advance AI capabilities through our PACE framework (Policies, Advocacy, Controls, and Enablement), ensuring AI is innovative, ethical, and rooted in trust.
Trusted by 13 of the 20 largest P&C firms, we combine deep insurance expertise with partnerships (AWS, Microsoft, Salesforce) to help leaders modernize infrastructure and scale operations.
Are you building your AI capabilities at the speed the market demands?