Charles Taylor InsureTech launches autonomous AI agents for insurance
Charles Taylor InsureTech has introduced autonomous AI agents to modernize customer service and streamline insurance operations through its InHub platform.
8th July 2025 - Author: Taylor Mixides
Charles Taylor InsureTech, a leading technology partner for the insurance industry, has unveiled autonomous AI agents—referred to as agentic AI—as part of its initiative to enhance customer service and optimize core insurance operations. Unlike traditional generative AI, these agents operate independently in real-time, performing tasks such as claims assessment and document verification without human intervention.
Key Features of Agentic AI
- Autonomous Operation: Executes tasks like claims processing, underwriting, and risk analysis without prompts.
- Embedded in InHub: Integrated into Charles Taylor’s cloud-native SaaS platform, InHub, which connects legacy systems with modern applications.
- Multi-Channel Support: Engages customers via chat, email, voice, portals, and WhatsApp for seamless service.
Benefits for Insurers
- Faster Response Times: Automates workflows like First Notification of Loss (FNOL) and policy binding.
- Cost Reduction: Reported savings of 20–30% in operational costs.
- Dynamic Data Analysis: Improves accuracy and decision-making.
Arjun Ramdas, CEO of Charles Taylor InsureTech, emphasized the transformative potential: "Our AI agents provide 24/7 omnichannel service, reducing wait times and meeting modern consumer expectations for self-service."
Future Prospects
As agentic AI continues to learn and adapt, its capabilities will expand, enabling insurers to automate more complex tasks and further their digital transformation strategies.
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About the Author

Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.