President’s Note:
Commercial insurance faces persistent challenges that hinder efficiency and profitability. Manual underwriting and claims processes slow operations and introduce errors, while fragmented data sources make accurate risk assessment and pricing difficult. Rising operational costs and inefficiencies limit scalability, and delays in claims handling erode customer trust. These issues demand a modern, intelligent approach.
Generative AI is transforming the insurance landscape by automating data extraction from unstructured sources such as emails, PDFs, and images, turning them into actionable insights. It accelerates underwriting through AI-driven risk profiling, enabling faster quote turnaround and improved accuracy. Claims processing becomes smarter with natural language and vision models that streamline intake, triage, and fraud detection. Additionally, conversational AI enhances customer engagement, delivering personalized and transparent communication. Read more
Srikumar Kumar
President, Insurants AI
www.insurants.ai
How Insurance CIOs Can Develop a Successful Generative AI Strategy
- Kimberly Harris-Ferrante
- 13 December 2024
Building a GenAI strategy and implementation approach is tricky, requiring insurance CIOs to make determinations based on wide-ranging criteria. This research identifies the key considerations to selecting the best approaches for GenAI to ensure project success.
Overview
Key Findings
- The top factor among insurers in selecting generative AI (GenAI) use cases is business outcomes; however, Gartner research has found that this is often difficult to quantify.
- GenAI is pushing beyond experimentation, adding pressure on insurance CIOs to formalize their validation and selection processes to target those that can deliver measurable business results.
- To be effective, while adhering to compliance and regulation, insurers must consider four key dimensions to GenAI use case selection: risk appetite, organizational readiness focused on process and employees, business value and metrics, and vendor/solution approach options. Read more
Insurants View
Opportunity Available
What is the opportunity available and what will it demand to?
The appetite for data to better inform insurance decisions dates back to Jonathan’s coffee house, the ability to find it and use it just as long. Today the breadth of information held in existing documents, systems and process is vast and its value well recognised. But the process of documenting the assets to be protected and risk we’re prepared to take is still captured in a myriad of documents, processes and systems…
Trip Hazards
Can you learn from the mistakes of others?
Five years at the cutting edge of what (Gen)AI and related technologies can deliver and working with the largest commercial insurers we’ve learnt a thing or two about what it takes to deliver exceptional results, realise quantifiable benefits, drive adoption and manage the innovation pipeline…
Insurants Response
Sharing some proven best practices
The capability exists today to address the challenge and perhaps unsurprisingly it’s not a single technology or technique but a suite built for commercial insurance that’s delivering the best results…
