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Cytora launches Autopilot to automate insurance risk workflows

Cytora launches Autopilot to automate insurance risk workflows

Cytora, a digital risk processing platform for insurers, has launched Cytora Autopilot, a new agentic AI capability built to automate end-to-end risk workflows.

The release targets a long-standing operational problem across insurance teams. Workflows often stall because data arrives in fragments across time, channels, and counterparties.

Autopilot allows workflows to execute automatically without direct human intervention. The platform responds to available information and adjusts as new data arrives.

It continues operating even when information is spread across multiple communications over extended periods. That matters because insurance transactions rarely arrive in one clean package.

Underwriting teams and claims handlers still spend large portions of their time reviewing submissions, identifying missing information, and writing follow-up messages to brokers.

Cytora says those teams often spend up to half their time on that work. Autopilot shifts that model toward supervision rather than manual processing. Teams would oversee a self-executing flow of risk activity instead.

The product addresses a structural barrier that has limited automation for years. Risk transactions in insurance remain fragmented by nature. Information comes through separate emails, attachments, systems, and conversations.

Cytora launches Autopilot to automate insurance risk workflows

Traditional workflow tools lack the memory and logic needed to keep progressing independently. Autopilot is built to close that gap.

The platform automatically links related communications and assembles information from internal systems, external sources, and incoming submissions.

It then executes workflows as relevant data becomes available. The use cases span submission to quote and claim to adjudication. That gives insurers a broader automation layer than most earlier workflow tools offered.

For North American carriers and agencies, Cytora says the platform supports agentic collaboration across the carrier-agency relationship. It automates the exchange of submission data and speeds up workflow completion between both sides.

  • Carriers can move quotes to brokers ahead of renewal with limited human involvement.
  • Agencies can process activity directly from their management systems.
  • Data can also move across lines of business to unify client context and support stronger product density.

The platform includes several operational features tied to workflow automation. These include agentic workflow orchestration, persistent context across communications, and cross-portfolio visibility into risks.

Cytora also emphasizes explainable reasoning and auditable workflow steps, which matter in regulated environments. The company says turnaround times can fall from hours or days to minutes.

Insurance is vital to society, giving businesses the confidence to realise their ambitions in the face of uncertainty, but the underlying structure that insurance is served on remains analogue, eroding confidence in the insurance industry to scale to meet the rising level of risk, inhibiting growth and reducing profitability, Cytora says.

The frictional cost of moving risks through the value chain means that up to 50% of premiums businesses pay for insurance evaporates as the pure cost of providing the policy, making insurance the highest cost of usage of any product in the world.

At the same time, the expectations of customers, brokers and insurance employees are changing, speed, flexibility and control over risk selection and the target portfolio matter most. Brokers demand fast speed of service which has become a core differentiator to win the right risks.

Chief executive Richard Hartley described Autopilot as a turning point in risk digitization. He said insurers have made major progress in converting submissions into structured data, yet workflow execution remains mostly manual.

According to his view, the industry has reached the limit of static digitization. The next step is workflow systems that understand context, respond dynamically, and execute as the picture of a risk develops.

To profitably grow, insurers need to scale judgment across a much larger volume of risks, guide scarce capacity to the right risks, progressively decouple premium growth from expense growth, and deliver out-performance in combined ratio through consistent risk decision making

To attract and retain the best talent, insurance companies need to deliver modern digital experiences to underwriters and claims adjusters that empower them to focus on risk decision-making while removing monotonous manual activities and data entry which are anachronistic in today’s digital economy.

Hartley also said Cytora has consistently pushed AI deeper into commercial insurance operations. He described Autopilot as a major step in the company’s effort to transform insurance through AI-powered risk digitization and workflow automation.

The platform is designed to evaluate risk and complete workflows in ways that resemble human reasoning and action.

According to Beinsure analysts, platforms built around contextual workflow automation may reduce cycle times sharply, though adoption will depend on integration quality and trust in automated execution. In commercial insurance, speed matters, but control still matters more.