Applied Systems Acquires Cytora to Advance AI-Driven Insurance Automation and Growth

Applied Systems Acquires Cytora to Improve Insurance AI Solutions

Applied Systems has acquired Cytora, a platform that digitises risk processing for the insurance industry using AI. This acquisition combines Cytora’s AI-driven risk digitisation with Applied Systems’ insurance software used by agencies, carriers, and MGAs. The goal is to enable smarter automation, better connectivity, and improved collaboration throughout the policy lifecycle.

For Cytora, this means expanding its platform’s reach. Insurers, brokers, and reinsurers will gain the ability to digitise intake processes across different workflows, countries, and lines of business. Applied Systems expects this partnership to boost growth and increase productivity for everyone involved in insurance.

The combined companies plan to extend AI capabilities to insurance agencies, improving the entire Digital Roundtrip of Insurance. This approach aims to reduce wasted resources on inefficient tasks and allow the industry to focus more on profitably insuring risks.

Leadership Perspectives

Taylor Rhodes, CEO of Applied Systems, said the acquisition strengthens their position as a leader in insurance AI. He highlighted Cytora’s focus on accelerating and streamlining the digitisation and exchange of risk data between agents and carriers. Rhodes emphasised how combining their technology, domain expertise, and insurance data sets with AI will improve speed, accuracy, and reduce costs across insurance workflows.

Richard Hartley, CEO and co-founder of Cytora, explained that their platform helps commercial insurers handle more risks digitally, increasing premiums while lowering expenses and quoting time. He expressed enthusiasm about joining Applied Systems to expand insurance AI’s value throughout the risk lifecycle, fostering closer industry collaboration and more profitable growth.

What This Means for Insurance Professionals

• Improved automation in risk assessment and policy processing
• Better data exchange between agents, carriers, and reinsurers
• Access to tools that reduce manual work and speed up quoting
• Enhanced ability to manage risks across multiple regions and business lines

Insurance professionals looking to stay competitive should monitor how AI-driven platforms like this evolve. Learning to work with these technologies can lead to more efficient operations and increased profitability.

For those interested in expanding their AI knowledge relevant to insurance and automation, exploring automation courses can provide practical skills to adapt to these industry changes.