The insurance industry is facing a hard question: Is the way we work actually working?
For many, the answer is no.
Disconnected workflows remain one of the biggest pain points across insurance operations. Quotes bounce between departments. Claims pile up in inboxes. Approvals disappear into email threads. Every manual handoff creates friction, slows resolution times, and chips away at customer and broker relationships.
Guidewire, Duck Creek, and other core systems have made real strides, but the deeper issue is that integrations fall apart because the underlying workflows are outdated, inefficient, poorly documented, and full of exceptions that no one has mapped out.
The fix is not simply adding new people or platforms; it's streamlining and standardizing workflows first and then using that enhanced foundation as the platform for making informed workforce and technology decisions.
The Standardization Gap No One Talks About
Before any technology conversation can happen, carriers have to confront the problem at a more fundamental level by addressing inconsistent processes across their own organizations.
Most insurance organizations have established ways of doing things, and many of them work passably well. But having a "working" process and one that's optimized are two different matters. Seemingly, there's always room to tighten handoffs, eliminate process redundancies, and create consistency across teams without overhauling what already works. Nevertheless, even rock-solid workflows benefit from a fresh look–because what worked five years ago is not ready for today's work volume and complexity, or available technology options.
The Capgemini World Property and Casualty Insurance Report 2026 confirmed that even carriers that are heavily invested in AI are dependent on workflows built for human execution. For these businesses, the remaining challenge slowing process redesign for them lies in solving gaps in collaboration and data readiness. In plain terms: technology cannot fix a process. It can only accelerate it, for better or worse.
Standardization means thoroughly understanding and documenting how work actually moves through the organization, from submission intake to policy issuance to claims resolution, and then deciding how it should move. This is tedious, time-consuming work, but doing it pays huge dividends in the long run – and carriers that skip it and jump straight to automation consistently struggle to connect their technology investments to measurable returns.
Complexity Runs Far Deeper Than Most Carriers Admit
Handling non-standard or specialty risks exponentially increases the problem and raises the stakes.
For example, in 2024, excess and surplus lines markets surpassed $81 billion in written policies, a 12% jump over the previous year, and the continuation of a five-year trend of double-digit growth. This expansion brings volume, and with it, further exposure of manual processing's inherent vulnerabilities.
The compliance burden alone illustrates the problem clearly. According to the Wholesale and Specialty Insurance Association's 2025 Compliance Benchmarking Report, the most common data filing error – incorrectly applying tax rates – accounts for 38% of all rejections, followed by missed deadlines at 29%.
These numbers aren't the result of technology failures but instead stem from undocumented processes performed manually and varying from person to person – call it "vibe underwriting," if you will. Fixing the first problem, incorrect application of prevailing tax rates, does not require purchasing a workflow automation platform. It requires deliberately mapping and documenting every step of the process and eliminating or correcting the inconsistencies that have built up over time.
Undocumented workarounds and informal "tribal knowledge" are among the most common causes of errors in compliance-heavy workflows, and no software or LLM can solve this until the process itself is defined and accountability for consistency is assigned.
Standardization in specialty lines does not mean stripping out flexibility. It means building structured, auditable workflows wherever possible, so underwriters and brokers spend their time on judgment calls that actually require expertise, not on chasing paperwork or correcting errors that could have easily been avoided in the first place.
Where Technology Fits In
Artificial intelligence and automation are already delivering real results in production. According to McKinsey, leading P&C insurers are seeing 40% reductions in underwriting costs through automation and predictive analytics. In specialty lines, around 52% of insurers have deployed AI tools for faster underwriting, and 47% have improved processing accuracy and turnaround times using AI in their claims workflows.
In claims specifically, straight-through processing is becoming the standard outcome for routine losses, reducing cycle time and manual touchpoints across the lifecycle. With AI-automated data extraction, document review, compliance checks, and routing, adjusters are able to focus on complex, potentially costly losses needing human evaluation.
Low-code automation platforms are emerging as the practical path forward for managing high-variability submissions. These tools let business users build and update workflows without waiting on development resources, even as appetite, rating logic, and product lines constantly shift to meet dynamic markets. Cloud-native, API-connected platforms add another layer of flexibility, providing scalability to grow capacity during CAT events and other demand surges, and scale back during quieter periods without adjusting permanent headcount.
Standardized Processes Produce Better Staffing Decisions
This is the critical juncture for workflow efficiency and workforce strategy. You cannot right-size a team around a broken or inconsistent process.
If a claims department runs on manual data entry, inconsistent documentation standards, and siloed systems, staffing levels will reflect that dysfunction. Bring more hires into a fragmented workflow and you get a bigger, but still fragmented workflow. Standardize the process first, then determine how many people you need and what skills those roles actually require.
Successful automation implementations in insurance have shown up to a 50% reduction in employee workload alongside a 25% to 35% increase in team productivity. To yield maximum value from these gains requires an additional step of redeploying human experts, rather than simply reducing headcount. After all, AI is a tool, and you wouldn't replace a skilled plumber with a wrench.
When repetitive, high-volume tasks are automated, underwriters underwrite. Adjusters focus on complex losses. And every role across the insurance value chain is empowered to focus on building broker and agent relationships instead of spending time on tasks that can be automated with human oversight.
A growing number of carriers are also rethinking their workforce structure entirely, blending lean internal leadership teams with technology and specialized vendor partners. This model lets organizations scale up during peak periods without carrying excess fixed overhead year-round.
A Practical Starting Point
The path forward does not require transforming every process at once.
Start with a workflow audit to isolate the areas generating the most operational friction. That typically means FNOL intake, renewal workflows, compliance reporting, and submission intake.
Map what actually happens today, not the idealized version your business may have documented sometime in the past. And do not just talk to the people doing the work. Engage them fully in the mapping process itself. They are the subject matter experts, and this is an opportunity to recognize and create a competitive advantage from their contributions. The people closest to the work know where the friction is, where the workarounds live, and precisely where the process breaks down under pressure. Bringing them into the solution builds ownership, surfaces insights no audit tool will catch, and signals that you value your team for their expertise, and not just their output.
From there, define the standard. Map what the process should look like, step by step, with ownership at each stage clearly defined. Only then are you prepared to evaluate technology platforms, choose the tools that best integrate with existing systems and give managers real-time visibility into where work stands.
Perhaps most important: train your people on the new workflows in their entirety, and not the new software. Track results with concrete metrics (from set baselines): processing times, error rates, submission-to-bind cycle times, and compliance rejection rates. Adjust the new workflows as these data direct.
The Bottom Line
Process efficiency is not an IT initiative. It is a discipline combining business workforce strategy. Insurers that audit their workflows, standardize their operations, and then layer in the right technology will hire smarter, retain better, and serve clients and brokers faster.
The carriers gaining ground right now are not just doing more. They are doing more with less friction. That starts with knowing exactly where friction lives, and having the discipline to fix it before committing to your next platform.
Sources: Capgemini World Property and Casualty Insurance Report 2026; McKinsey and Company; Wholesale and Specialty Insurance Association 2025 Compliance Benchmarking Report; Datagrid Workflow Automation Analysis; Patra 2025 AI and Insurtech Trends Report
