Most insurance companies are deploying artificial intelligence in isolated pockets rather than across their entire organization, which means they're missing out on compounding growth and revenue opportunities. According to new research from Accenture, fewer than one in four insurers (23%) have achieved enterprise-wide integration of AI deployment, with AI capability remaining concentrated in small groups across underwriting, claims, actuarial, and operations teams.

Why Are Insurers Struggling to Scale AI Across Their Business?

The problem isn't that insurers lack AI technology or capability. Rather, they're treating AI as a series of disconnected experiments instead of a unified business strategy. When a company sharpens its pricing models or streamlines underwriting in isolation, those improvements deliver local gains. But without connecting those insights to distribution, product design, and cross-sell strategies, the organization forfeits the compounding growth effect that comes from linking risk intelligence directly to revenue decisions.

Despite this fragmented approach, insurers are still seeing real results. Accenture found that 81% of insurers surveyed are experiencing at least a 5% improvement in gross written premiums from AI and data initiatives, while 7% have achieved improvements exceeding 20%, driven by better pricing, personalization, and cross-selling. Even more striking, 85% of 218 C-suite leaders surveyed across 20 countries now believe revenue growth is becoming a more significant benefit of AI for their organizations, up from 68% just two years ago.

"Our research shows that while AI is already delivering real revenue gains for insurers, most are leaving value on the table. They need to shift from isolated pilots to enterprise-wide intelligence, treating AI not as a technology program, but as a driver of growth, with clear links from strategy to execution to create measurable P&L impact," said Ravi Malhotra, Global Insurance Industry Lead at Accenture.

Ravi Malhotra, Global Insurance Industry Lead at Accenture

What Does "AI With Intent" Actually Mean for Insurance Companies?

Accenture's research emphasizes a shift from an "AI everywhere" approach toward one that deploys "AI with intent" to reinvent the business. This means orchestrating AI across the company to find connections among initiatives and anchoring every activity to measurable business outcomes. Organizations that scale AI effectively, aiming to drive enterprise-wide gains, will bring new products to market faster, operate with more productive and AI-literate workforces, and build capabilities embedded across the enterprise that are harder for competitors to replicate.

Five Steps to Transform AI From Isolated Pilots to Enterprise-Wide Strategy

• Align AI Deployment to Business Strategy: Most organizations continue to separate AI strategy from execution, with business leaders defining ambitions while delivery sits largely within data, AI, and technology teams. This splits ownership and investment. Instead, companies should ensure AI directly supports enterprise-wide goals and that all teams share accountability for outcomes.
• Expand AI Skills Across the Workforce: AI has captured leadership attention faster than any technology in decades, but most organizations haven't redesigned work, metrics, or mindsets to capture the value. Combining technical and business knowledge across the workforce helps adoption race ahead while value creation keeps pace.
• Evolve the Talent Ecosystem for AI Agents: AI agents that act with initiative represent a significant shift, transforming insurers from reactive service providers into proactive, intelligent enterprises. However, the future of insurance requires people thoughtfully leading agent-to-agent execution. Autonomy without oversight creates risk, and the trust challenge remains critical.
• Adopt a Two-Speed Data Strategy: Legacy data and fragmented systems still undermine AI ambitions. Accenture's research shows that 50% of insurers cite legacy integration as the primary challenge affecting AI deployment at scale, followed by access to sufficient high-quality data (45%). A two-speed strategy enables short-sprint wins to unlock growth while the organization builds enterprise-grade capabilities over the longer term.
• Formalize a Proactive Compliance Mindset: Regulators are increasing scrutiny of algorithmic bias, explainability, pricing fairness, and the use of external data in underwriting and claims. Insurers that formalize governance early through transparent model documentation, human oversight, auditability, and ethical design can turn trust into a competitive differentiator.

The research underlying these recommendations comes from a comprehensive survey of 263 senior insurance executives across property and casualty, life and annuity, and multi-line companies who have direct accountability for AI, data, technology, and business transformation. Accenture also conducted 15 in-depth interviews with industry executives from Asia Pacific, Europe, and North America, including companies like Allianz, AXA, MetLife, Progressive, and State Farm.

The bottom line is clear: the competitive advantage in insurance won't come from simply adopting AI, but from how deliberately and strategically it's scaled across the entire business. Companies that move beyond fragmented pilots to enterprise-wide intelligence will capture revenue growth, operational efficiency, and market advantage that their competitors leave behind.