Insurance organizations have invested heavily in modernizing core systems. Yet many employees still spend significant time moving information between those systems.
A submission arrives by email. Someone extracts information from a document. Missing data triggers a follow-up. An exception requires another review. Information moves between underwriting, policy administration, claims or other systems before the process can continue.
Individually, these tasks may seem minor. At scale, they create an overlooked source of operational friction: the work between the workflows.
The next automation opportunity for insurers is connecting the manual handoffs, document movement, exceptions, and follow-up tasks that occur between core processes, reducing friction without replacing critical human judgment.
Core systems don't eliminate workflow gaps
Modern platforms can make individual insurance functions significantly more efficient. But an efficient system does not necessarily create an efficient end-to-end process.
Recent research illustrates the challenge. McKinsey describes commercial underwriting environments where professionals still read emails, extract information from documents, pursue missing information and manually move cases between stages. Deloitte similarly points to disconnected systems, manual data reentry and "swivel chair" workflows as continuing constraints even after core modernization.
The remaining friction often exists at the points where systems, teams and processes meet.
Consider the work required to:
Extract information from incoming documents.
Validate that required information is complete.
Re-enter data across systems.
Route cases requiring additional review.
Request missing documentation.
Track approvals and outstanding actions.
Communicate status changes.
Escalate exceptions to the appropriate employee.
This work keeps processes moving, but it also consumes capacity that could be directed toward decisions requiring greater expertise.
Focus automation on the handoffs
For IT and business leaders, the opportunity is not simply to automate more tasks. It is to identify where work slows as it moves through the organization.
A claims platform, for example, may efficiently manage the claim itself while employees still coordinate documentation, status updates, service providers, approvals, and exceptions around it. Deloitte's 2026 claims research identifies several behind-the-scenes opportunities, including automated intake, document collection, case routing, status updates, and payment coordination.
Similar opportunities exist across underwriting and policy servicing.
The automation target therefore shifts from:
How do we automate this system?
to:
Where does work require unnecessary human intervention before it can move to the next step?
That question can uncover opportunities that traditional system-by-system modernization misses.
Automate routine work, preserve critical judgment
Not every handoff should disappear.
Insurance processes contain exceptions for a reason. Complex risks, ambiguous claims, unusual documentation, and sensitive customer situations often require professional judgment.
The goal should be to distinguish between work that requires expertise and work that simply requires effort.
Automation can handle activities such as document extraction, validation, routing, notifications, and routine follow-up while directing exceptions to the appropriate employee.
That model keeps people involved where their knowledge matters most rather than requiring them to manually manage every step surrounding the decision.
Measure the friction removed
The business case also changes when insurers focus on work between workflows.
Success should not be measured only by whether an automated process functions correctly. Leaders can evaluate whether automation reduces the operational friction surrounding it.
Useful measures may include:
Manual touches per transaction.
Time spent waiting between process stages.
Document processing time.
Exception volumes and resolution times.
Rework caused by missing or inconsistent information.
Employee time redirected toward higher-value activities.
End-to-end processing time.
These measures help connect automation investments to operational outcomes rather than simply technology deployment.
Look between the systems
The next meaningful efficiency gain may not require another major platform replacement.
For many insurers, the opportunity may be hiding in the spaces between the technology they already have.
Mapping how information, documents, decisions, and exceptions move across the organization can reveal where employees are compensating for gaps between systems and processes.
That is where automation can have a different impact: not simply making individual tasks faster but making the entire flow of work more connected.
For insurance IT and business leaders, the next automation question may be less about what else can be automated, and more about what work should no longer require a person to keep it moving.
FAQs
What insurance processes are good candidates for automation?
Strong candidates include repetitive, rules-based
activities such as document extraction, data validation, routing, status notifications, routine follow-ups, and other tasks that require limited human judgment.
How can insurers identify workflow automation opportunities?
Map processes across systems and teams, then identify manual handoffs, repeated data entry, document movement, waiting periods, exceptions, and other points where employees must intervene to keep work moving.
Should insurers automate exceptions?
Not necessarily. Automation can identify, classify, and route exceptions while preserving human involvement for situations requiring judgment, interpretation, customer interaction, or specialized expertise.
How can insurers measure automation ROI?
Measures can include fewer manual touches, shorter processing and waiting times, reduced rework, faster exception resolution, and employee capacity redirected toward higher-value activities.
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