New AI Orchestration System combines AI agents, workflow automation, governance and human oversight to support underwriting, pricing, claims and customer engagement

Earnix has unveiled AIOS, a new AI Orchestration System designed specifically for insurers, marking a significant expansion of the company’s intelligent decisioning capabilities across the insurance lifecycle.

The platform is aimed at helping insurers operationalise artificial intelligence in high-stakes decision-making environments, enabling AI-driven insights and actions across underwriting, pricing, claims, customer engagement and risk management while maintaining governance, transparency and regulatory compliance.

The launch comes as insurers face increasing pressure to make faster, more accurate decisions amid rising risk complexity, changing customer expectations, tighter margins and growing regulatory scrutiny. Rather than focusing solely on automating administrative processes, AIOS is designed to orchestrate decisions that directly influence profitability, growth and customer outcomes.

Unlike traditional AI deployments that sit within isolated analytics tools or core systems, AIOS operates across an insurer’s technology ecosystem, connecting data, models, workflows, AI agents and human expertise within a single governed framework. The platform integrates with policy administration systems, underwriting platforms, claims systems, customer relationship management tools and third-party data sources through open APIs.

Earnix said the system builds on more than 25 years of experience in insurance pricing, rating and risk modelling. The company currently processes more than four billion transactions annually and has already deployed over 25 AI agents across live insurance workflows.

“Insurers are entering a new phase of AI, where value will be measured by business performance rather than experimentation,” said Robin Gilthorpe, Chief Executive Officer of Earnix.

“The greatest returns will come from AI purpose-built for insurance and applied at the point where decisions determine growth, profitability, risk, and customer outcomes. In a constantly changing market, effective AI strategies are not built around static data or disconnected analysis. They must be built around dynamic intelligence that informs decisions as they are made.”

AIOS combines decision orchestration, workflow automation, model management, governance controls and human-in-the-loop review capabilities to provide insurers with what Earnix describes as a governed operating model for scaling AI.

Among its key capabilities, the platform enables insurers to extend intelligent decisioning beyond pricing and risk analysis into underwriting, claims handling, retention strategies and customer engagement. It also allows organisations to deploy different forms of intelligence—including predictive models, AI agents and human expertise—depending on the context of a decision.

The platform is designed to orchestrate decision-making across multiple teams, workflows and business units in real time, helping insurers break down operational silos and improve consistency across the enterprise. At the same time, embedded governance and auditability features provide visibility into the data, rules and logic behind every decision, supporting regulatory compliance and internal oversight.

Earnix believes this approach will allow insurers to leverage AI without replacing existing technology investments, enabling organisations to modernise incrementally while maintaining operational continuity.

Industry analysts view the launch as part of a broader shift towards embedding AI directly into insurance workflows rather than limiting its use to analytics or automation initiatives.

“The insurance industry is increasingly focused on how AI can be applied to operational decision-making in a controlled and scalable way,” said Harry Huberty, Senior Analyst at Celent.

“As insurers seek to respond more quickly to changing market conditions, they need capabilities that help connect data, analytics, and business processes across the organization. Announcements like this reflect the broader trend toward embedding intelligence into core insurance workflows while balancing speed, transparency, and governance.”

The introduction of AIOS reflects a growing trend across the insurance sector as carriers seek practical applications for artificial intelligence that deliver measurable business outcomes. With insurers increasingly prioritising profitability, operational efficiency and customer experience, platforms capable of combining AI automation with governance and human oversight are expected to play a larger role in enterprise transformation strategies.

By positioning AI at the centre of insurance decision-making rather than simply automating processes, Earnix is aiming to help insurers move from AI experimentation to large-scale deployment, turning artificial intelligence into a strategic capability that supports growth, resilience and competitive differentiation.