- 82% of insurers now prioritize measurable ROI from AI/transformation initiatives (ISG report).
- Only 18 firms recognized as 'Leaders' in accountable transformation partnerships.
- AI-first models are being adopted to overhaul underwriting, claims, and fraud detection.
Experts agree insurers are shifting from strategic advice to outcome-driven partnerships, demanding measurable ROI and end-to-end execution support.
Insurance's New Mandate: From Strategic Advice to Guaranteed Impact
STAMFORD, Conn. – June 26, 2026 – The world of insurance, long a bastion of calculated risk and deliberate pace, is in the midst of a quiet but forceful revolution. Faced with a perfect storm of margin pressures, climate-related volatility, regulatory mazes, and fickle customer expectations, insurers are fundamentally changing what they ask of their strategic partners. The era of the high-level PowerPoint presentation is over; the age of the accountable transformation partner has begun.
A new report from technology research firm Information Services Group (ISG) confirms this seismic shift. The findings reveal that insurance companies are no longer content with mere strategic advice. Instead, they are seeking long-term advisory relationships that fuse high-level planning with the gritty, complex work of execution, demanding a clear and measurable return on their significant transformation investments.
“Insurance companies are seeking greater accountability from AI and transformation initiatives and clearer paths to business impact,” said Dennis Winkler, director of the Insurance Industry at ISG. This statement, simple on its surface, captures a profound pivot. Insurers are moving from buying ideas to buying outcomes.
The Demand for Accountability
For decades, the consulting model was straightforward: identify a problem, propose a solution, and leave the implementation to the client. That model is now broken. According to the ISG report, insurers “increasingly value advisory relationships that connect strategic priorities with practical execution and provide insights on buying AI transformation outcomes with true ROI.”
This demand for accountability stems from necessity. With profitability under constant threat, every dollar spent on transformation must be justified not by potential, but by performance. Insurers are now focused on quantifiable metrics: reductions in claims processing times, improved underwriting accuracy, lower customer churn, and decreased fraud. The new expectation is that an advisory firm will not only help design a new AI-powered underwriting system but will also stay on to ensure it integrates seamlessly, that the staff is trained to use it, and that it delivers the projected efficiency gains.
This has led to a culling of the herd. As Ashish Jhajharia, the report's lead author, noted, “Insurers are becoming far more selective about the advisory relationships they maintain.” They are gravitating towards firms like Accenture, Deloitte, and IBM—named among 18 'Leaders' in the ISG report—that can demonstrate a track record of sustained business impact. The report also highlights 'Rising Stars' like Kyndryl and Wipro, signaling a dynamic market where the ability to deliver end-to-end transformation is the new currency.
Building the AI-First Insurer
The engine driving much of this transformation is artificial intelligence. Insurers are moving beyond pilot projects and designing “AI-first” operating models to overhaul everything from underwriting and claims to fraud detection and customer engagement. The goal is to create a more predictive, efficient, and personalized insurance experience.
However, deploying AI is not a simple plug-and-play exercise. It requires navigating a minefield of challenges, including fragmented data ecosystems, legacy IT infrastructure, and a scarcity of specialized talent. This is where expert guidance becomes critical. Insurers are seeking partners who can help them not only build AI models but also deploy them at scale while ensuring data privacy, ethical use, and regulatory compliance.
Successful advisory engagements now include extensive organizational readiness planning. It’s one thing to have a powerful algorithm; it’s another to embed it into the daily workflow of a veteran claims adjuster. This human element—workforce enablement and change management—is now a core component of what insurers expect from their transformation partners, ensuring that innovation doesn't remain siloed in a lab but becomes part of the company's operational DNA.
Navigating the Ethical and Regulatory Labyrinth
As insurers embrace AI, they are also confronting a host of complex ethical and regulatory questions. How can a company use vast amounts of customer data to personalize pricing without crossing the line into discriminatory practices? How can an automated claims decision be made transparent and explainable to both customers and regulators?
The ISG report highlights an increasing demand for “responsible AI frameworks.” These are not just technical guidelines; they are comprehensive governance structures that embed principles of fairness, accountability, and transparency into the entire lifecycle of an AI system. Advisory firms are now expected to be experts in this domain, helping clients navigate a patchwork of global regulations like GDPR in Europe and evolving guidelines from bodies like the National Association of Insurance Commissioners (NAIC) in the U.S.
This focus on responsible AI is about more than just compliance; it is fundamental to maintaining customer trust. In an industry built on the promise of protection, any perception that AI is being used in a biased or opaque manner could be catastrophic. Consequently, the ability to provide sound ethical and regulatory counsel has become a key differentiator for advisory firms.
Redrawing the Blueprint for Profitability
Ultimately, these strategic and technological shifts are in service of a single goal: building a more resilient and profitable business model. Insurers are undertaking a root-and-branch reassessment of their operations, scrutinizing distribution economics, capital allocation, portfolio composition, and cost structures.
They are turning to advisors who bring not just tech savvy but deep industry and actuarial expertise. The demand is for scenario-driven decision support that can model the financial impact of strategic choices, such as exiting an unprofitable line of business or investing in a new digital distribution channel. For large multinational insurers, this complexity is magnified. They must align strategies across different regions while navigating a maze of diverse regulatory environments, making cross-border data strategies and global operating models a top priority.
This new landscape places a premium on long-term, deeply integrated partnerships. The most valued advisors are those who can move seamlessly from a boardroom discussion about five-year strategy to a technical deep dive on cloud architecture, all while keeping a relentless focus on the measurable outcomes that will ensure the insurer’s survival and success in a world of constant transformation.
