Michael Corrigan (pictured), CIO of World Insurance, has taken a structured approach to aligning technology investment with business strategy, emphasizing measurable outcomes over experimentation.
His role centers on ensuring that innovation, particularly in AI and automation, directly supports enterprise priorities rather than operating as a parallel initiative. That alignment reflects a broader shift among brokers toward disciplined transformation tied to operational performance.
At World Insurance, strategic direction begins with leadership consensus rather than technology-led ideation. Corrigan described an annual planning process involving an extended leadership team that collectively defines priorities for the year ahead. “We will vote on five, and those will be our strategic priorities for the year,” he said.
These priorities are not exclusively technology-driven, underscoring the firm’s view of IT as an enabler in support of the broader strategy. Initiatives can range from carrier strategy to operational improvements, with technology applied thoughtfully where it supports defined outcomes. This ensures that automation and AI investments are grounded in business value rather than emerging trends.
Once priorities are set, the organization applies to a disciplined evaluation framework. Corrigan emphasized the importance of cost-benefit analysis and clearly defined success metrics at the outset. “What does the success criteria look like to us?” he said.
A central component of World Insurance’s approach is detailed process analysis before technology selection. Teams map end-to-end workflows to identify inefficiencies or define new operating models, ensuring that any automation addresses specific bottlenecks. This applies equally to existing processes and new initiatives, with an iterative “walk, crawl, run” methodology guiding implementation.
Corrigan highlighted that many current initiatives are focused on AI, developed in close collaboration with operations and business leaders. One prominent example is the deployment of an agentic AI system within the firm’s phone infrastructure. The system, introduced as “Michelle,” is designed to handle client interactions while clearly identifying itself as an AI assistant.
“It is very conversational and sounds like a human,” Corrigan said.
The system integrates with the firm’s book of business, enabling it to identify callers, retrieve policy information, and route inquiries appropriately. This includes handling billing and claims queries, directing clients to carriers, or transferring them to internal teams when necessary. The goal is to streamline client service while maintaining continuity across channels.
Early results from the pilot, which launched within a limited business unit, have been encouraging. Corrigan noted that the initiative is being refined in real time, with the intention of scaling it across the organization. The success criteria focus on both client experience and internal efficiency. “Is it providing a better service for our clients?” he said.
Beyond improved service availability, particularly outside standard hours, the system is expected to reduce administrative burden on employees. By automating routine interactions, staff can redirect time toward higher-value activities. This reflects a broader emphasis on using AI to augment, rather than replace, human roles.
World Insurance has deliberately avoided fragmented or bespoke technology deployments in favor of scalable, platform-led solutions. Corrigan stressed the importance of consistency and standardization across systems, enabling capabilities to be deployed broadly rather than confined to niche use cases.
This approach is closely tied to the firm’s focus on data quality. Corrigan described data as the foundation for all automation and AI initiatives, with strong emphasis placed on data hygiene and governance. Regardless of the source, whether phone systems, agency management platforms, or CRM tools, all inputs are treated as part of a unified data ecosystem.
“The quality of our data is really a foundation for how we can automate and improve other processes,” he said.
Maintaining this foundation enables the firm to layer automation capabilities more effectively, reducing friction and improving operational consistency. It also supports
the integration of multiple systems, ensuring that insights and workflows remain connected across the organization.
External partnerships play a significant role in delivering World Insurance’s technology strategy, particularly in areas such as AI where specialized expertise is required. “Strategic partnerships are extremely important to our success,” he said.
Corrigan emphasized that many AI initiatives require niche skill sets that are difficult to maintain internally, particularly given the pace of technological change. By leveraging external expertise, the firm can accelerate implementation while maintaining focus on core business objectives.
Post-implementation review is a critical component of this model. World Insurance conducts structured evaluations after go-live to assess whether defined success criteria have been met. This includes examining performance gaps, identifying lessons learned, and determining whether adjustments are needed in technology selection or partner engagement.
“We really break it down methodically,” Corrigan said.
This continuous feedback loop reinforces the firm’s disciplined approach to transformation. By linking strategy, execution, and measurement, World Insurance aims to ensure that innovation delivers tangible value rather than remaining an abstract objective.
