Insurance Business: fragmentation stalls AI

Insurance Business reported on June 2 that insurers’ AI programs are running into a workflow problem as much as a technology one. The trade publication said weak handoffs between teams and systems are limiting returns from AI spending, even as carriers keep funding new tools. The article drew on research from Atlassian’s Teamwork Lab and applied it to insurance operations such as underwriting, claims intake, triage and special investigations. Other industry research published in 2025 and 2026 has made a similar point: insurers are moving from pilots to execution, but legacy systems and siloed operating models are still slowing scale. ### Why is “fragmentation” showing up as the problem now? Atlassian’s Teamwork Lab said in its State of Teams 2026 report that AI is making individuals faster without necessarily improving how teams work together, according to Insurance Business. The publication said the researchers called that gap the “fragmentation tax” and described it as value lost when faster individual output collides with unchanged workflows. Insurance Business said the report surveyed more than 12,000 knowledge workers and 172 Fortune 1000 executives. (insurancebusinessmag.com) KPMG said in a 2026 insurance report that the sector has entered a phase focused on “integration, impact, and measurable ROI.” The firm said insurers are now confronting challenges beyond technology, including legacy systems, fragmentation and the need to move from isolated use cases to transformation of entire functions. ### Where does the problem show up inside insurance workflows? (insurancebusinessmag.com) Insurance Business said the cost appears at the points where work moves from one team to another. The article cited handoffs from underwriting to claims through policy clarity, from intake to triage through evidence completeness, and from claims to special investigations through referral quality. In that framing, the issue is not whether an AI tool can summarize, classify or predict, but whether the next team receives enough context to act. (kpmg.com) KPMG described a similar shift in insurer priorities. The firm said early AI efforts often produced quick wins by tackling one use case at a time, but “rarely delivered transformational impact.” It said leading insurers are instead examining workflows, identifying pain points and applying AI across the value chain. ### Is there evidence that insurers have the budget but not the operating model? (insurancebusinessmag.com) BCG said in September 2025 that insurance had moved faster than most industries in early AI adoption, but only 7% of companies had successfully brought their efforts to scale. The firm said stalled programs were often tied to limited business engagement, unclear roles, inconsistent support and difficulty working across internal silos. (kpmg.com) KPMG said 90% of insurance executives in its 2026 survey reported AI budgets had somewhat or significantly increased from the prior year. The same report said the main challenge had become embedding technology into normal business operations rather than proving AI’s potential. ### What does that mean for vendors selling AI into carriers? (bcg.com) Insurance Business said the strongest product message is not broad “AI transformation” but reducing friction at each handoff. The article argued that carriers feel the pain in transitions: what enters the file, what gets lost, who has to decide next, and what evidence is missing when that decision arrives. (kpmg.com) BCG said companies that scale AI are the ones that accept change, assign accountability and focus on a small number of high-value areas across the enterprise. KPMG said the industry’s focus has shifted toward workflow fit and measurable business results. Taken together, those reports support a narrower pitch: better context, cleaner referrals and fewer broken transfers between teams. (insurancebusinessmag.com) ### What should readers watch next? Insurance Business published its analysis on June 2, and the underlying reference points are already in circulation. Atlassian’s State of Teams 2026 report remains the main source for the “fragmentation tax” framing, while KPMG’s 2026 insurance survey and BCG’s 2025 scaling report provide the broader industry benchmarks on budgets, silos and execution. Those reports are likely to be the documents carriers and vendors cite as they make the case for workflow redesign rather than another stand-alone AI pilot. (bcg.com) (insurancebusinessmag.com)