Hyperexponential (hx), a technology company that develops underwriting and pricing software for commercial property and casualty (P&C) insurers, has launched Hyperoperator, an AI-driven underwriting agent designed to take broker submissions from initial receipt to decision-ready documentation while operating within the insurer’s existing pricing model, underwriting preferences and authorization framework.
The launch makes hx the first provider of a commercial property and casualty insurance agent underwriting workbench capable of handling risks from broker emails through to full pricing and quoting, the company said.
According to Super Index, the traditional underwriting workbench primarily helps underwriters organize and manage their workload. In contrast, the company’s Agency Underwriting Workbench is designed to complete day-to-day preparation and administrative tasks before referring cases to underwriters for decisions requiring professional judgment.
Hyperexponential said Hyperoperator integrates with the hx platform, email, Microsoft Teams, Slack and mobile devices. Underwriters can begin the workflow by forwarding a broker submission, after which the system extracts and structures relevant information, determines the next allowed step, applies the insurer’s underwriting rules and prepares the document for review. Depending on the controls configured by the insurance company, the submission can be sent to the underwriter or automatically continue through the underwriting process.
Commercial property insurers are facing increasing pressure to provide faster responses to brokers while maintaining underwriting discipline and profitability in a soft market, the company said. While many insurance companies have experimented with AI technology, hyperexponential believes that relatively few have embedded it into real-time underwriting operations.
Hyperexponential points out that the main obstacle is not the capabilities of AI itself, but the fragmented nature of underwriting knowledge, including pricing models, preference guides, permission restrictions, portfolio insights and institutional knowledge distributed across multiple systems and documents. As a result, the company said, many AI initiatives are limited to submission or classification rather than supporting underwriting decisions themselves. According to hyperexponential, Hyperoperator is developed to play a role within each insurer’s underwriting strategy, governance framework and decision-making process, rather than working alongside them.
During a keynote address at hx Live London, Amrit Santhirasenan, CEO and co-founder of hyperexponential, demonstrated how Hyperoperator orchestrates expert AI agents on the hx platform to leverage insurers’ existing data, models and controls to prepare underwriting decisions. Hyperexponential said a live demo showed the platform processing cyber insurance submissions from broker email submissions to categorizing and pricing risks in less than three minutes, without the need for manual data entry.
“Underwriting software has been helping teams manage the work around decision-making for years,” adds Santhirasenan. “The opportunity now is to embed agents into the decision-making workflow itself and provide the pricing logic, portfolio context and authority controls required for rigorous underwriting. Super carriers provide underwriters with leverage without taking away their judgment.”
According to Hyperexponential, the world’s leading insurance companies use the platform to support underwriting decisions, with annual commercial property and casualty insurance premiums exceeding $75 billion, compared with $45 billion in the same period last year. The company said this reflects eight years of experience supporting production underwriting environments.
Hyperoperator builds on the company’s existing AI capabilities for submission ingestion, model development, model testing and risk assessment. Already deployed across the hx customer base, these technologies are now integrated to support the broader underwriting process from submission to decision.
This approach is designed to ensure that each submission receives the appropriate level of review, while helping brokers obtain faster responses and allowing underwriters to focus more time on technical judgment rather than administrative work.
Insurers can deploy Hyperoperator in a variety of ways, including fully automated processing where confidence levels and permission restrictions allow, workflows that require underwriter approval, on-demand underwriting analytics during live cases, and ongoing monitoring of portfolio-level metrics such as risk concentration, pricing adequacy and unusual risk patterns, the company said.
“Most carriers believe they are further along the AI maturity curve than they actually are,” said Karlyn Carnahan, head of North American insurance at Celent. “The next phase of AI in insurance will not be defined by isolated pilots. It will be defined by how insurers can safely and effectively introduce AI into underwriting decision preparation, review, and workflows that improve over time.”
The hx platform combines workflow management, underwriting rules, ratings engines, approval processes and portfolio intelligence in a regulated operating environment. Because Hyperoperator operates through this infrastructure, the company said its AI agents remain subject to insurance company-defined governance, approval pathways and underwriting controls throughout the decision-making process.
“Most AI in underwriting is stuck in the first 20% of the workflow: reading submissions, routing tasks, and helping teams move faster,” said Marcus Ryu, general partner at Battery Ventures and co-founder of Guidewire. “The hardest part is the other 80%: connecting AI to the pricing logic, workflow controls, portfolio context, and trust infrastructure that underwriting decisions rely on. Super Carrier stands out because hx has spent years building this foundation in production.”
