In the Media

With AI assistants GIA and ARKUS, insurer and MGA underwriting teams can efficiently refine in-appetite risk selection, enrich exposure analysis, improve pricing and quoting accuracy, and enhance service to agents and policyholders.

AI’s role in insurance represents a paradigm shift in how insurers approach risk assessment and other key processes. Open-source AI solutions, in particular, has been transformative, offering a new level of transparency and collaboration for insurers.

NeuralMetrics CTO Sathish Manimuthu lists four ways commercial insurance organizations can use role-based AI assistants in their underwriting processes to boost capacity and strengthen data-driven risk evaluation.

AI agents can support underwriters with nuanced logic to quickly accomplish a range of risk-assessment tasks. According to Sathish Manimuthu, NeuralMetrics CTO, AI assistants help to increase the precision and productivity of underwriting teams.

In commercial insurance, unintentional misinformation for underwriting is more common than fraud and can have significant consequences, such as inadequate coverage or inaccurate policy pricing. NeuralMetrics discusses how AI tools can help insurers reduce misinformation during risk analysis and selection.

Marcus Daley, technical co-founder of NeuralMetrics, discussed the transformative role of artificial intelligence in insurance underwriting — by generating accurate insights and risk assessments from sparse data.

Tune in to this podcast for a discussion with Marcus Daley, technical co-founder, and Chris Schrenk, CUO of NeuralMetrics, on making real-time risk data accessible and meaningful for commercial insurers, brokers, and agents.

Autonomous AI agents can cost-effectively support underwriting processes by acting as intelligent assistants that learn and adapt to make designated risk-assessment decisions and execute appropriate actions without direct involvement from underwriters.

The A-Star Platform’s ‘SAMA’ autonomous AI agents can learn, adapt, and self-correct instantaneously to set new standards in data-driven risk analysis for commercial underwriting.