Ping An Insurance deploys AI across 650 scenarios to drive 39.8% NBV growth and 70% faster claims processing

Ping An Insurance faced mounting pressure to differentiate in China's intensely competitive life and health insurance market, where the sector was projected to grow at a 7.10% CAGR through 2033 but commoditization threatened margins. With 245 million retail customers and a sprawling multi-channel distribution network, traditional actuarial and service models could not deliver the personalization required to improve policy persistency or drive cross-sell at scale. Claims processing remained slow, fraud detection was reactive, and agent productivity varied widely — each a direct drag on New Business Value and customer lifetime value. Without deeper integration of data and automation across the full policy lifecycle, Ping An risked ceding growth to more digitally agile competitors.

Ping An deployed predictive machine learning across 650 discrete business scenarios, embedding AI directly into underwriting, claims adjudication, fraud detection, customer service, and agent workflows rather than treating it as a standalone capability. The centerpiece was an 'insurance + service' ecosystem that linked policy products to health management and senior care services, using ML models to personalize recommendations and predict churn. AI-powered claims platforms automated triage and assessment, cutting manual touchpoints. The bancassurance and Community Finance channels — expanded to 301 outlets across 198 cities — were instrumented with AI tools to improve agent NBV per interaction. Health management services reached 13 million customers in H1 2025, with 210,000 beneficiaries enrolled in home-based senior care, feeding behavioral data back into retention and cross-sell models.

New Business Value grew 39.8% year-on-year to RMB 22.3 billion in H1 2025, against a market growing at roughly 7% annually — a substantial outperformance. Key metrics:

• NBV margin: expanded 10.4 percentage points to 32.0%, reflecting improved pricing precision and cost efficiency
• Claims processing: reduced by up to 70% through AI-automated adjudication
• 13-month policy persistency ratio: reached 96.9% (up 0.3 pps YoY); 25-month ratio rose to 95.0% (up 4.1 pps)
• Multi-contract retention: 98.0% of customers holding multiple policies were retained
• Bancassurance NBV: surged 168.6% YoY; agent NBV per agent rose 21.6%
• Nearly 70% of Ping An Life's NBV now originates from customers using integrated health ecosystem services

• Breadth of AI deployment matters as much as depth — applying ML across 650 scenarios creates compound efficiency gains that no single-use-case implementation can replicate.
• Linking insurance products to tangible health services converts a transactional relationship into a recurring one; ecosystem-linked customers drove 70% of NBV, making service integration a retention strategy, not just a differentiator.
• Channel instrumentation with AI (agent tools, bancassurance enablement) amplifies distribution productivity and can outpace market growth by a significant multiple.
• Persistency ratios are a leading indicator of AI-driven retention success — track them alongside NBV to validate whether personalization investments are working.