Optalitix Ltd

11/11/2026 | Press release | Distributed by Public on 11/11/2026 08:23

Ground-breaking Optalitix agentic AI will transform insurance pricing

For the first time, insurers that price with Excel and Python models can use AI in their underwriting process. This capability significantly reduces the time to get pricing systems live and streamlines underwriting to improve productivity, enhance insight and improve decision-making without sacrificing human control.

Optalitix, the pricing and underwriting insurtech, is introducing ground-breaking agentic AI capabilities embedded in its Optalitix Quote platform to help insurers, reinsurers and MGAs automate complex pricing and underwriting activities.

In a softening market, insurers that can price accurately and respond quickly will gain a competitive advantage. Optalitix's AI agents enable them to do this by working with their existing pricing models, business rules and approval processes rather than replacing them. This ensures that pricing remains grounded in trusted models and underwriting expertise, while actuaries and underwriters retain control over decisions.

Optalitix's AI already enables users to ask questions about quote data in plain English. Its new AI agents take this a step further, completing complex pricing and underwriting tasks from start to finish. These include analysing claims experience, identifying trends and anomalies in loss data, checking risk accumulation, reviewing quotes against authority limits and preparing renewals. This frees underwriters and actuaries to focus on the judgement and decisions needed to win the right business at the right price.

Dani Katz, Founding Director at Optalitix, said: "In today's softer, more competitive insurance market, insurers need to price accurately and respond quickly without compromising governance or control.

"Our approach is moving beyond providing information to carrying out complex pricing and underwriting tasks using models that insurers already trust. By combining AI with existing pricing models, business rules and approval processes, Optalitix enables underwriters and actuaries to make better decisions, work more efficiently and respond faster to brokers and their clients."

Optalitix's AI agents use insurers' established models and business rules to complete tasks and prepare recommendations rather than calculating prices independently. Human oversight remains central, with insurers retaining control over approvals and maintaining a traceable record of actions and decisions.

Optalitix's AI solution makes workflow design as intuitive as a conversation. Teams can describe the underwriting journey they want in plain English, with AI translating that description into a system configuration, making workflows faster and easier to build and adapt.

Through the Model Context Protocol (MCP), Optalitix is enabling clients to connect their AI assistants, including ChatGPT, Claude and Copilot, to live information in Optalitix Quote. The next phase of these AI capabilities, due for release in Q1 2027, will enable users to initiate and manage more complex tasks directly through these assistants.

Several clients are already live-testing Optalitix's AI connectivity capabilities to accelerate pricing and underwriting processes, improve consistency and reduce operating costs without compromising governance. Further agentic AI applications are currently being developed and validated in collaboration with Optalitix clients.

Alongside its AI developments, Optalitix continues to invest in the core modelling capabilities in Optalitix Quote and Optalitix Models that insurers rely on every day. Native Python notebooks and scripts will give actuaries greater freedom to develop, test and deploy pricing models, while continued Excel support protects existing investment and expertise. These proven models remain the foundation for reliable pricing and underwriting, and underpin the AI capabilities being built around them.

‍

‍

Optalitix Ltd published this content on November 11, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on November 11, 2026 at 14:23 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]