EIS and the MACH Alliance to explore the structural gap AI is exposing between organizations that can operationalize AI at scale and those constrained by the foundations beneath it.

Dublin — 10th June, 2026: EIS, a leading AI-native core platform provider to the insurance industry, is warning that AI is creating a growing divide between organizations able to turn it into measurable business outcomes and those struggling to move beyond experimentation. EIS will explore the implications for insurers at an invite-only industry forum in Dublin this week, bringing together senior business and technology decision-makers from across the insurance sector.

The Transformation Summit will highlight this year’s MACH Alliance Enterprise Technology Report, which found that organizations operating on modern, composable architectures are significantly more likely to deploy AI at speed, achieve measurable business outcomes, and avoid project failure linked to architectural and integration constraints. 

By contrast, organizations operating on legacy technology foundations risk facing persistent barriers including fragmented data, integration bottlenecks, governance complexity, and stalled initiatives that undermine the ability to turn AI investment into profitable growth.

Among the report’s findings: 

• 94% of organizations said composable architecture increases the speed of AI deployment
• 87% said composable architecture enables AI-driven business outcomes
• 51% of fully composable organizations reported zero AI project failures linked to architecture or integration issues, compared to approximately 30% of less mature organizations
• Nearly nine in ten organizations reported barriers to AI implementation, with integration complexity, legacy technology, and fragmented data among the most significant constraints

 EIS will be joined by Jasmin Guthmann, Community Chair at the MACH Alliance to explore how insurers can avoid repeating past transformation mistakes, protect AI investment from becoming another layer of operational debt, and build the foundations needed to turn AI into measurable commercial advantage.

“The report’s findings come at a time when insurers are accelerating investment in generative and agentic AI technologies to improve operational efficiency, customer experience, fraud detection, and decision-making,” said Mike Dwyer, CTO, EIS. “However, the research reinforces our view that the return on those investments increasingly depends on the underlying architecture supporting them.”

For insurers, the implications are significant. As AI becomes embedded into underwriting, claims, servicing, fraud detection, and real-time decision-making, the gap will widen between those merely experimenting with AI and those able to embed it safely into live operations. That requires insurers to move beyond systems designed primarily to process transactions toward platforms capable of orchestrating intelligence, governing execution, and adapting continuously.

“The research is clear. AI success is increasingly determined by the foundations organizations build on, not adoption or experimentation,” said Jasmine Guthmann, Community Chair, the MACH Alliance. “Companies with modern, composable architectures are able to operationalize AI faster, scale it more effectively, and translate it into measurable outcomes. Those constrained by fragmented and inflexible environments face a much harder path.”

As the only MACH-certified insurance core platform provider, EIS believes the industry is entering a new competitive era where insurers will increasingly be defined by their ability to operationalize AI safely, continuously, and at scale.

“AI will not create a level playing field across insurance. It will amplify the strengths and weaknesses of the operational foundations beneath it. Many insurers continue to rely on decades-old technology environments that were never designed for the speed, interoperability, and continuous data exchange that AI increasingly depends on. This is creating structural constraints that limit execution at scale,” added Dywer.

 About EIS

EIS is a leading SaaS core platform provider to the insurance industry and the premier choice for ambitious insurers building customer-centric, data-driven ecosystems of tomorrow. With EIS OneSuite™, powered by CoreGentic, insurers gain the industry’s first Knowledge-Driven Core – embedding AI, agentic automation, and natural-language capabilities directly into the heart of the platform.

Open, API-rich, and event-driven by design, OneSuite operates seamlessly across any line of business and supports any insurance product, whether the infrastructure is cloud-native, on-premises, or hybrid. Its built-in adaptability enables insurers to enter new markets, launch innovative products, reduce costs, combat fraud, and deliver engaging, compliant customer experiences – all while accelerating their journey to intelligent automation and growth.

Headquartered in San Francisco, EIS supports some of the world’s most ambitious insurers globally. For more information, visit www.eisgroup.com.

About MACH Alliance

The MACH Alliance is a [501(c)(6)] non-profit organization, governed by an independent board and does not endorse specific vendors, members or otherwise. The Alliance was formed in June 2020 to help enterprise organizations navigate the complex modern technology landscape. It aims to guide and show the business advantage of open tech ecosystems that are Microservices based, API-first, Cloud-native SaaS and Headless. All MACH Alliance members meet certification principles that are published on the website.

The MACH Alliance welcomes technology companies and individual industry experts who share the same vision for the future. Learn more at machalliance.org.