The global insurance industry is undergoing a major transformation as artificial intelligence (AI), big data and behavioral science reshape how companies manage risk and serve customers.
A Deloitte report notes that insurers, historically slow to modernize, are now embracing these tools to drive efficiency, strengthen risk frameworks and design more customer-centric products. According to a 2024 Insurance Thought Leadership survey, 77% of U.S. insurance executives said their companies were adopting AI — a 16% increase from the previous year.
Three Key Areas of AI Innovation
- Underwriting and sales: AI-powered analytics enable insurers to process large datasets quickly, improving accuracy in assessing risk.
- Claims and fraud detection: Automated systems now handle document analysis, damage assessments and payouts, while also flagging potential fraud.
- Pricing and risk management: AI detects patterns across vast datasets, leading to more precise pricing and proactive risk interventions.
South Africa’s Progress
Local insurers are also moving fast, adapting global models to the country’s unique challenges.
- Pattern recognition: Insurers use AI to scan entire claims portfolios, spotting risks that traditional systems may miss.
- Governance signals: At SHA, Africa’s largest casualty insurer, early-warning systems track signs such as shareholder dissent on director pay — helping clients address risks before they escalate.
- Motor insurance: Driving behavior data is used to personalize premiums. Unlike overseas models, local systems factor in time of day, route safety and driver rest breaks, reflecting South Africa’s crime and road conditions.
People-Centered Tech
AI is also enhancing customer engagement. By automating routine tasks, insurers free up experts to focus on building relationships and supporting clients during crises such as cyberattacks or litigation.
At SHA, a new tool is being developed to capture insights from claims and underwriting specialists, helping standardize decision-making while retaining human judgment.
Challenges Ahead
Experts caution that responsible adoption is critical. AI-driven decisions must be explainable, especially when they affect claims or premiums. Data quality and representativeness remain a concern in South Africa’s diverse market, while evolving privacy and AI laws will shape future practices.
Skills are another hurdle. The industry needs professionals who understand both technology and insurance, making talent development a top priority.
The Bottom Line
South African insurers are not merely copying global trends but are tailoring them to local realities. By combining data-driven insights with human expertise, the industry is working toward more resilient, customer-focused models — provided it continues to innovate responsibly.
By Pierre Lombard, Technical Manager: Claims, SHA Risk Specialists
