2026

Cytora Autopilot: Risk Workflows that Run Themselves

Announcing Cytora Autopilot, a revolutionary new capability elevating the insurance industry from islands of digitization to end-to-end risk workflow automation.

The situation today

Commercial insurance carriers face barriers to growth as rate growth stagnates, competition stiffens, and operational costs climb. Insurers must write more premium at lower marginal cost. AI has long been seen as the answer to decoupling risk volumes from headcount.

Cytora pioneered the use of AI to digitize risks, delivering measurable results for insurers, reinsurers and brokers who have been able to turn submissions into decision-ready risks, uplifting GWP/FTE, improving control over risk selection and transforming turnaround time.

But the automation of end-to-end risk workflows has not been realized... until now.

The static paradigm

We have reached the plateau of static digitization. We have the data, but workflows are static and stateless when it comes to completing submission information ready for decisioning. They wait for a human to click "next." This means the system has no persistent ‘memory’ or ‘intent’ across workflows. It follows a linear, rigid script: receive email, extract data, wait for underwriter to review.

The challenge is that the transfer of risk information often happens over time with risk data spread across many different steps and communications. If information is missing, the system doesn't proactively act on it. It raises a flag and/or sits idle. Decisioning teams must log in, realize data is missing, and manually email the broker. This "stop-and-start" nature is why time is still consumed by low-value administration. The problem is:

Each communication is digitized in isolation from the next.

Phone conversations happening in parallel to email submissions are not linked.

Submission information doesn’t incorporate the context of previous submissions or the context of interactions between internal stakeholders.

Lines of business are siloed: client coverage in one line is rarely known by practitioners in other lines, resulting in sub-scale penetration at client level.

Decisions are made manually and incrementally, with underwriters re‑evaluating the risk each time new information arrives, rather than decisions progressing continuously as context evolves.

Risk digitization was designed to unlock workflow automation. However, the data that arrives and initiates a workflow is not enough to execute the workflow; information arrives over time reflecting the fragmented nature of risk transactions. To compensate, insurers manually piece together data, which arrives cumulatively over time, and then execute workflows manually, step-by-step.

Capacity is absorbed at every stage. Workflows start, then grind to a halt, instead of flowing to completion.

From islands of digitization to end-to-end workflows

Cytora Autopilot: the most powerful iteration of the Cytora platform to date.

With Cytora Autopilot, workflows run themselves, aware of the data that’s available, responding, waiting and executing depending on the status of the risk record - always on, always focused on completion. Autopilot realizes true agentic risk workflows.

Operations teams now supervise a self-executing flow of risk, where communications are linked together and workflows are triggered as schema completion happens. Context is assembled automatically across data sources (submission, external, internal), across communications relating to the same submission and across submissions related to a given policy. Entire workflows are run agentically from submission to quote, claim to adjudication. They respond, wait and execute depending on the status of the risk record.

Carriers move from spending 50% of their time reviewing, identifying missing data, writing follow ups to brokers, etc., to supervising agentic workflows. No human intervention is required for risk workflows to run to completion that are ready for decisioning, even if information is dispersed across multiple communications arriving days apart. Email to quote. Claim to adjudication. True zero marginal cost. Insurers move from static to dynamic: a new paradigm for managing risk.

Cytora Autopilot creates contextual intelligence, a continuously updated view of a risk that links submission information across not only sources of data, but across all touch points for new information over time, moving the Cytora Platform from automating the capture of data, to automating full underwriting and claims workflows. Agentic AI has been widely touted, Cytora Autopilot makes it real.

	Without Cytora Autopilot	With Cytora Autopilot
Goal	Digitize incoming submission	Execute the end-to-end workflow
Missing information	Manual back-and-forth with broker	Automated broker outreach/Integration with broker systems
Broker communication chains	Manually combine information	Automatically updates the view of risk as new related communications (e.g., emails, phone calls) arrive
Digitization sources	Submission, augmented by internal and external data	Multiple sources all treated as inputs (e.g., renewal submission, current policy data, new client submitted data), allowing cross-source and cross-document comparison
Cross-workflow	Lines of business are siloed	All client data is linked across different products and workflows
Workflow execution	Disconnected, interruptions require manual intervention	Automatic execution of full workflow beyond upfront digitization, advancing the submission towards a decision

What does Cytora Autopilot do?

Cytora Autopilot reinforces carriers’ view of risk while facilitating customer-centricity, allowing brokers and agencies to trade in their preferred ways. The broker can submit the initial submission via email, provide further information via a phone call, and then send a follow up email with the loss run, and all that information is combined to execute the underwriting workflow. Equally, integration with broker systems offers the path of least resistance for brokers when trading. For US carriers, Autopilot’s agentic workflows can directly interface with broker systems to automate the completion of submission data for brokers and agents alike. The business impact of these qualities is profound, realizing true automation to expand the benefits of agentic AI-powered risk digitization exponentially.

Actionable, scalable AI strategy

Cytora Autopilot automates all risk workflows, enabling commercial insurers to quickly implement scalable, enterprise-grade agentic reasoning and workflow orchestration. With the full audit record of the underwriting workflow, including chain of thought reasoning for each step of the process, adoption and trust are guaranteed through explainability and auditability.

Elevated operational efficiency

Workflows run themselves, eliminating points of manual intervention and driving GWP/FTE uplift beyond what is captured today with risk intake digitization. Cytora Autopilot not only sees risks as a human would, it acts on them just as a human would.

Boost decision quality

Better insights equal better decisions. Cytora Autopilot expands the breadth of insight carriers can use to make decisions through agentic workflows that create a more complete view of risks. Autopilot extends the decision quality and consistency impact from relying on a single source of input, to the broader context of the risk.

Drive service excellence and turnaround time

Fragmented workflows delay decisions and quotes and, ultimately, binding risks or settling claims. Manual work is required from all trading parties before true decisioning can begin, undermining the foundations on which broker/carrier relationships are built. Cytora Autopilot enables carriers to respond to the broker in minutes, not hours or days.

Autopilot extends the advantage

Cytora Autopilot facilitates true automation within and across workflows. Agentic workflows amplify efficiency, augment exposure to portfolio-enhancing risk and streamline implementation, all while enabling better decisions.

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Cytora Autopilot: Risk Workflows that Run Themselves