Welcome, subscribers, to another issue of Insurance Business Review.
For COOs in insurance and financial services, operational performance is often measured across multiple systems and workflows. While most organizations track key metrics, fewer consistently use benchmarks to evaluate whether performance is truly aligned with industry standards.
Without clear benchmarks, it becomes difficult to determine whether delays or service levels are the result of internal inefficiencies or broader market norms. This can lead to misaligned priorities and reactive decision-making rather than structured operational improvement.
In practice, benchmarks are a way to understand how efficiently an organization is operating relative to its peers, and where capacity or process improvements may be needed.
In this edition, we review key insurance operations benchmarks every COO should know, and what they reveal about performance, scalability, and operational effectiveness.
Insurance Operations and Performance Benchmarks Leaders Should Watch
Cost benchmarking is exposing significant efficiency gaps between insurers
McKinsey’s Insurance 360 benchmarking shows that larger insurers can operate with significantly lower cost ratios than smaller peers, in some cases by as much as 30%. This highlights how cost efficiency is becoming a defining factor in operational competitiveness.
Rising protection gaps are highlighting performance limitations across markets
An April 2026 report shows growing gaps in coverage across major markets, including the U.S., pointing to broader operational and structural challenges in reaching and servicing policyholders efficiently. These gaps are increasingly being used as macro-level indicators of industry performance.
AI is delivering measurable gains in claims speed and productivity, but scaling remains a challenge
Insurers are seeing significant improvements in claims processing speed and productivity where AI is applied, including faster cycle times and higher documentation efficiency. However, most carriers are still struggling to scale these gains across operations.
Productivity benchmarking continues to highlight structural inefficiencies across the industry
Research shows that productivity in insurance has remained largely stagnant over time, with wide disparities between top-performing insurers and the rest of the market. This gap is increasingly used as a benchmark to evaluate operational performance and long-term sustainability.
See how insurance and financial services teams are improving key operational metrics through more structured and scalable support models.
What Insurance Benchmarks Actually Reveal About Operations
Operational benchmarks in insurance are often treated as reporting tools, but for COOs, they function as early indicators of how well an organization is actually executing.
Metrics like claims cycle time, cost per transaction, and productivity per employee reflect how effectively work is flowing through the organization, and where friction is building up across teams and systems.
In practice, weaker benchmark performance usually points to a few underlying issues:
Work is not evenly distributed across teams: Some functions become overloaded while others are underutilized, creating bottlenecks that slow overall execution.
Processes rely too heavily on manual intervention: When workflows require frequent human input, consistency and speed tend to vary depending on workload and staffing levels.
Handoffs between teams or systems lack clarity: Inefficient transitions between steps in a process often result in delays, rework, or missed updates that impact downstream performance.
Performance is measured in isolation rather than end-to-end: Strong results in one area can mask inefficiencies elsewhere in the workflow, leading to an incomplete view of operational health.
Taken together, these benchmarks highlight where execution is breaking down and where structural improvements may be needed to support consistent performance.
How Organizations Close the Gap Between Benchmarks and Execution
When benchmark performance starts to fall short, the issue is that most organizations already know where inefficiencies exist. The challenge is translating that insight into consistent execution.
In practice, improving benchmark performance often comes down to how work is structured and supported across operations.
One common approach is to separate process-driven tasks from higher-value decision-making work. Functions like data entry, document handling, follow-up, and status updates are handled through dedicated support structures, allowing internal teams to focus on underwriting, client relationships, and exception management.
Organizations also place greater emphasis on standardizing workflows. When tasks are executed consistently, using defined processes, shared systems, and clear ownership, it becomes easier to reduce variability in performance and improve key metrics like turnaround time and throughput.
Another factor is capacity alignment. Rather than relying on internal teams to absorb fluctuations in workload, organizations introduce flexible support models that can scale with demand. This helps maintain service levels without overextending core staff or introducing delays.
Ultimately, closing the gap between benchmarks and performance requires building an operational model that supports consistent execution at scale, ensuring that improvements in productivity are sustainable over time.
Why This Matters
Benchmarks provide visibility, but their value lies in what they reveal about execution.
When key metrics like cycle time or productivity fall outside expected ranges, it’s often a sign that workflows are not fully in accordance with operational demand. Left unaddressed, these gaps can limit scalability and create ongoing pressure on internal teams.
For COOs, the goal is to ensure that operations are structured in a way that consistently meets those benchmarks. This requires balancing capacity, standardizing execution, and supporting workflows so that performance is sustainable, not dependent on short-term effort.
If your operational benchmarks are highlighting gaps in speed or productivity, the right support structure can help close them.
Learn how we help organizations improve performance while maintaining consistency at scale.
