As global markets face heightened volatility in 2026, commercial insurance has seen a pressing need to increase both speed and technical rigour in its processes to manage the rate of change. Insights from the European Guidewire Insurance Forum 2026 suggest a solution is already taking hold. During the event, held 15-16 April at The EGG, Brussels, speakers outlined that the industry is moving beyond basic generative AI to a more sophisticated, autonomous approach using Agentic AI.
Moving Toward Agentic AI
During one of the six thematic breakout sessions, entitled Commercial Lines Reinvented: Driving Efficiency and Customer Value, speakers from both Guidewire and PwC outlined how insurers are reimagining commercial lines through automation, advanced analytics, and new business models to drive efficiency and deliver more value to customers. Unlike the first wave of digital assistants that simply summarised documents, Agentic AI acts with intent. "It’s not just about a machine reading a document for you," noted Michael Cook, Partner, PwC. "We are moving into a phase where the AI actually executes a workflow, deciding which data points to verify and how to reconcile them against the carrier’s risk appetite."
This transition marks the end of the era of passive supportive layers. Instead of an underwriter prompting a tool to perform a specific task, Agentic AI works in the background of core systems like PolicyCenter to triage submissions before a human even opens the file. It can independently query third-party APIs for ESG scores, financial stability markers, and localised hazard data, presenting a complete, verified risk file to the desk.
Unlocking Capacity in the Mid-Market
The impact on productivity is profound. Cook explained that in the mid-market segment, where complexity often slows down the quote-to-bind process, autonomous agents are beginning to reduce cycle times by as much as 40%. By handling the high-volume "administrative tax" of data gathering and verification, these systems allow underwriters to reclaim their most valuable asset: time.
"The goal is to shift the underwriter from a data processor to a portfolio strategist," explained Cook during the session. This shift is essential as the talent gap in the actuarial and underwriting space continues to widen across Europe. By automating the routine, carriers can focus their top human talent on the 20% of risks that truly require nuanced, expert judgement.
The Integrity of the Loss Ratio
Cook added that, beyond speed, the primary driver for this technology is protecting technical margins. Agentic AI ensures that every policy is underwritten against a consistent set of live data, minimising the "human drift" that sometimes happens in high-pressure environments. "When the machine handles the validation, the loss ratio integrity improves because the data is never ignored," Cook remarked.
In a landscape where precision remains key to competitive advantage, the adoption of Agentic AI is a strategic re-imagining of the underwriting function itself. For senior leaders, the question is no longer whether to adopt these agents, but how quickly they can be integrated into the core underwriting DNA to achieve precision at scale.