How to build an execution-focused operating model for the future

Walk into most carriers or brokers today, and you will find the same pattern. A big event hits, volumes surge and the operation scrambles. Claims backlogs build. Processing quality drops. Manual workarounds appear overnight. The risk model said the exposure was covered. What it did not account for was whether the organization could execute under pressure.

The instinct is to treat this as a coverage or pricing problem. The more useful frame is operational. Resilience is not something an organization transfers. It is something an organization executes.

This is also the work that makes artificial intelligence useful. AI struggles where rules are inconsistent, data is messy and exceptions go undocumented. The same data and workflow readiness that strengthens resilience today is precisely what will let insurers deploy AI effectively tomorrow. The foundation serves both goals at once.

The signal that a model is already behind

That cost tends to show up operationally long before it shows up financially. It surfaces as backlogs during claim surges, inconsistent processing quality under pressure, and manual workarounds quietly papering over gaps no one has documented. When a shock hits, the question goes beyond just whether the exposure is covered. It is whether the organization can actually process, communicate and respond at the speed and quality customers and regulators expect.

Reactive risk transfer addresses the balance sheet. It does little for the execution layer and the execution layer is where resilience is won or lost.

Why traditional models lag interconnected risk

The data and workflows built to manage risk are often siloed by function and designed for stable conditions. That worked when threats arrived predictably. It does not work when a single event cascades across carriers, third parties, and supply chains at once. As EY's 2026 analysis of insurance risk leadership observes, risks that once emerged gradually now erupt without warning and decision windows have compressed.

Cyber insurance illustrates this strain vividly. Munich Re reports that cyber events involving digital supply chains now seem more the norm than the exception, with significant potential to become a systemic risk. When the underlying threat evolves faster than the data used to price it, models built on last year's assumptions are already behind.

What an execution-driven model looks like

Building toward operational resilience is a discipline problem. Four areas matter most, and the majority deliver value before any new tools enter the picture.

Start with workflow and data alignment. Processes should be documented end-to-end, including handoffs, decision points, and exception paths, with data cleaned and normalized across the enterprise rather than within a single team. This foundational work pays off regardless of what comes next.

Establish measurable baselines. An organization cannot claim resilience it has not measured. True cost per transaction, cycle time, and error rates turn "we think we're ready" into something verifiable. Carriers that believe they have made the shift but lack these baselines are usually assuming readiness rather than demonstrating it.

Build surge-ready capacity. Volatility should not force a choice between speed and accuracy. Cross-training, bench strength, and trained extended teams embedded in your existing workflows let an organization flex with demand instead of breaking under it.

Design human judgment into the loop intentionally. Reserve people for high-stakes, high-scrutiny decisions, and let standardized workflow handle the predictable volume. This is what allows automation, when it arrives, to amplify a sound operating model rather than expose a broken one.

The near-term competitive edge

The competitive advantage in the period ahead will not belong to the firm with the loudest technology strategy. It will belong to the one with the most execution-focused operating model. Insurers that treat resilience as a discipline, with clean data, standardized workflows, and flexible capacity, will be positioned to absorb both near-term disruption and longer-term systemic threats.

The answer is readiness, not alarm. The insurers that build for execution, rather than waiting for the next tool or the next shock, will be the ones still keeping pace when the systems around them strain.

The work does not stop when a disruption hits. Boards still want results, regulators still want compliance, and customers still want their claims processed. The insurers that absorb that pressure will have treated execution as a discipline before they needed it, not after.