Grant Thornton: Insurers See AI Gains but Face Governance Gap

Why It Matters

Weak AI governance threatens insurers’ ability to scale profitable AI initiatives and could erode product margins, making robust oversight essential for sustainable growth.

Key Takeaways

• 44% of insurers cite governance issues causing AI project failures
• Only 24% confident passing an independent AI governance review in 90 days
• AI drives revenue growth for 52% and cuts costs for 50%
• 61% have board‑level AI policies, but operational proof is fragmented
• Legacy data gaps and weak governance limit AI reliability industry‑wide

Pulse Analysis

The Grant Thornton survey highlights a paradox in the insurance sector: AI is already boosting top‑line performance, yet nearly half of executives admit governance or compliance shortcomings are derailing projects. This disconnect stems from a reliance on policy documents without the operational scaffolding to enforce, monitor, and audit AI models. As insurers chase faster time‑to‑value, the lack of demonstrable controls not only hampers internal confidence but also raises red flags for regulators increasingly focused on algorithmic transparency.

Compounding the governance shortfall are data‑related hurdles that AM Best’s parallel research underscores. Fragmented legacy systems, poor data quality, and insufficient security frameworks produce unreliable AI outputs, undermining both risk assessments and customer experiences. Insurers that have invested in modern data architectures and robust data‑governance frameworks report smoother AI integration and higher adoption rates, suggesting that technology modernization is a prerequisite for effective AI deployment.

For industry leaders, the path forward requires a two‑pronged strategy: tighten AI governance with clear policies, tested controls, and documented evidence, while simultaneously upgrading data infrastructure. Doing so not only mitigates regulatory exposure but also unlocks the full revenue‑generating potential of AI across underwriting, claims, and customer service. In a competitive market, insurers that can prove AI value quickly and defensibly will secure a sustainable advantage, whereas those lagging on governance risk eroding profitability and trust.