Insurity Urges Insurers to Reclaim Control of AI
The cloud software provider argues carriers should keep authority over which AI models power their core insurance operations.
Updated on Nov. 4, 2026 in Artificial Intelligence
Insurity, a provider of cloud-based software for insurance carriers, brokers, and MGAs, called on the insurance industry to rethink who controls the AI powering core operations. The company said it is reaffirming its AI-native strategy.
Why it matters
Insurity argues that AI is now the baseline in core insurance technology rather than a differentiator, and that dependence on a single AI model creates risk. The company contends frontier AI models improve in months while core insurance systems are replaced over decades, creating a structural mismatch.
The figures come from Insurity's own reporting that it is trusted by 22 of the top 25 U.S. property and casualty carriers and 7 of the top 10 U.S. MGAs, with over 400 cloud-based deployments. The extraction offers no independent comparator, so the market reach is self-reported and unverified.
The players
Insurity
Insurity is a cloud-based software provider for insurance carriers, brokers, and MGAs, and is a portfolio company of GI Partners and TA Associates.
The details
Insurity's Ratio platform lets carriers choose, combine, and change large language models without re-architecting workflows, and includes a governance and audit layer that operates independently of any individual AI model. Insurity says this allows model changes without losing audit history, with every automated decision running through the same carrier-controlled framework.
Timeline
November 4, 2026: Insurity issued its call for insurers to rethink AI control.
The Tech Race
Insurity's argument that AI has become baseline rather than differentiating in core insurance software places its Ratio platform within a wider contest among insurance software vendors to offer model-agnostic architectures. Its position contrasts with the approach of core platform providers that have acquired AI capabilities and built them into existing insurance systems.
For insurance carriers and MGAs, the choice of AI architecture determines whether they can change models without rebuilding workflows or losing audit history. The approach Insurity describes is aimed at keeping compliance and decision records intact as the underlying models change.
The takeaway
Insurers evaluating AI should consider whether their platform lets them change models without losing governance and audit records. Keeping control of that choice at the carrier level may matter more as the underlying models change faster than core systems.
Further reading
For broader coverage of how companies are deploying these tools, see Artificial Intelligence news.
Source note: This article includes information reported by Belleville Intelligencer.
