Insurance — Claims Handling Automation
- Feb 23
- 1 min read
Updated: May 18
This case shows how insurance claims handling can be streamlined by automating document intake, policy checks, evidence preparation, and approval routing — while keeping claims professionals in control of final decisions.
Client profile: Insurance company / claims team / operations department
Situation
Claims teams often handle large volumes of documents, forms, customer emails, policy information, evidence files, internal notes, and approval steps.
Much of the work involves manually reviewing submitted information, checking completeness, comparing claims against policy rules, requesting missing documents, preparing summaries, and routing claims to the right person.
This creates delays, repeated administrative work, inconsistent handling, and pressure on experienced claims professionals.
What MHN Labs implemented
MHN Labs created a claims handling automation workflow connecting claims intake, customer documents, policy rules, internal review steps, and approval routing.
Automated workers classified incoming documents, checked whether required information was complete, extracted key claim details, compared information against defined rules, prepared claim summaries, flagged missing evidence, and routed exceptions for review.
Selective AI was used to summarise claim files, interpret customer context, and prepare draft notes, while controlled workflows handled rule checks, routing, and evidence assembly.
Human control
Claims professionals remained responsible for decisions, exceptions, and final claim outcomes.
The system prepared the claim file, showed evidence, flagged uncertainty, and routed sensitive or unclear cases for human review.
Outcomes
Typical outcomes included faster claims intake, less manual document checking, fewer missing-information delays, more consistent claim summaries, better evidence packs, improved visibility across claims workflows, and humans remaining in control of final decisions.
Note: These examples are anonymized composites and may combine elements from multiple engagements to protect confidentiality.
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