How to Evaluate Claims Automation Software for P&C Carriers

The evaluation should begin with the claims operation the software must support. Carriers need to verify how the platform performs across normal processing, complex claims, exceptions, incomplete information, and changing business requirements.

1. Can it support the carrier’s claims workflows and adapt as they change?

Claims workflow fit goes beyond routing a claim from intake to closure. The platform should support the carrier’s claim and claim-feature structure, including claimants, exposures, coverages, reserves, diaries, authority levels, litigation, subrogation, and other line-specific requirements.

Carriers should also determine who can modify screens, fields, rules, assignments, approvals, and workflows. Routine operational changes should not automatically require custom development or a place in the vendor’s engineering backlog.

2. How much can it truly automate, with the right controls?

Effective claims automation handles suitable work consistently and directs uncertain, complex, or consequential matters to the right professional. Relevant capabilities may include automated FNOL intake, policy and coverage verification, claim-feature creation, triage, assignment, task generation, document requests, and payment workflows.

Straight-through processing can apply to an entire qualifying claim or to selected claim features and activities within a more complex claim. Eligibility should reflect data completeness, coverage certainty, claim complexity, severity, and configured risk indicators. Missing information or coverage questions should trigger referral. The same applies to unusual exposures, high-severity claims, litigation, or fraud indicators.

This approach balances processing speed and operational efficiency with accuracy and human judgment. Evaluators should test referral thresholds, exception queues, overrides, failed-data scenarios, and audit records. Coverage, liability, reserving, settlement, litigation, and fraud decisions should remain under appropriate human authority.

3. Does it integrate with core, billing, payments, data, and claims-service systems?

Claims software must exchange accurate and timely information with the systems surrounding the claim. This may include policy administration, billing, accounting, disbursements, document management, data warehouses, CRM platforms, repair networks, appraisal services, medical or legal providers, and regulatory reporting.

Evaluators should verify whether each connection is pre-integrated, configurable, or custom. They should also examine data mapping, bidirectional updates, error handling, reconciliation, and what happens when a connected system is unavailable or returns incomplete information.

4. Does it support the carrier’s lines, jurisdictions, claim types, and complexity?

A simple personal-lines property claim does not follow the same path as a multi-feature commercial claim involving several parties, litigation, or subrogation. The platform should therefore be tested against the carrier’s actual portfolio across:

• Personal, commercial, specialty, and catastrophe-related claims
• Single- and multi-feature claims involving multiple parties or coverages
• Litigation, subrogation, salvage, total-loss, and special-investigation workflows
• State-specific forms, deadlines, assignment requirements, and regulatory obligations

Vendor demonstrations and references should reflect the carrier’s operating reality. References are most useful when the lines, claim complexity, jurisdictional footprint, and implementation scope resemble the evaluating carrier’s environment.

5. What claims and financial outcomes can the carrier measure and improve?

Claims automation should make performance visible at meaningful milestones, not only at final closure. Carriers should be able to establish a baseline and segment results by line, claim type, complexity, jurisdiction, team, or other relevant dimensions.

Useful claims operations measures may include FNOL-to-assignment time, assignment-to-first-contact time, coverage-confirmation time, claim cycle time, manual touches, reopened claims, and loss adjustment expense. Relevant financial measures may include changes to case reserves and reserve-development patterns. The platform should also flag overdue reviews and exceptions requiring supervisory attention.

6. Is it governable, secure, compliant, and audit-ready?

Claims platforms should preserve accountability across system actions, automated workflows, and human decisions. Evaluation areas include role-based access, authority limits, jurisdictional assignment or licensing controls, data retention, approval history, rule changes, overrides, and audit trails.

For AI-supported capabilities, carriers should understand what data is used, how recommendations enter the workflow, when human review is required, and how actions or overrides are recorded. Governance should reflect the carrier’s internal policies and the regulatory expectations applicable to each use case and jurisdiction.

7. Can the carrier implement it at a manageable level of risk and prove value?

An implementation timeline has little meaning without the scope behind it. Carriers should examine:

• Open and historical claims migration
• Lines of business and jurisdictions included
• Required integrations and data conversion
• Configuration, testing, and acceptance criteria
• Phased rollout versus enterprise replacement
• Adjuster, supervisor, and administrator training
• Adoption planning and post-launch support

Time to value should be measured against what the implementation actually delivers, including the point at which the carrier can demonstrate operational improvement.

8. Can the vendor support the carrier long term at a sustainable total cost?

The vendor should bring claims-domain expertise, implementation capacity, responsive support, and a product roadmap aligned with the carrier’s future requirements. References should demonstrate experience with comparable lines, claim types, integrations, migration requirements, and organizational scale.

Total cost of ownership should include licensing, implementation, data migration, integrations, configuration, training, maintenance, upgrades, and future changes. Carriers should also distinguish capabilities available today from configurable options, custom development, and roadmap commitments.