ClaimSorted: Why Claims TPAs Need to Combine Automation with Exceptional Claims Talent

For MGAs, selecting a claims TPA is no longer just an operational decision, it is a strategic one. Claims outcomes directly influence customer retention, regulatory confidence, and ongoing capacity support. As automation and AI become embedded in claims handling, the most effective TPAs are those that combine advanced technology with deep claims expertise, rather than prioritising one at the expense of the other. Importantly – they must ensure the technology and the human experts work seamlessly together.

Automation can transform claims operations by accelerating triage, reducing administrative effort, and improving data quality. However, in delegated authority environments, technology must be applied carefully. MGAs require confidence that automated decisions align with underwriting intent, policy wordings, and carrier expectations. A TPA’s role is to ensure automation enhances control and consistency – not creates risk through opaque or unchecked decision-making.

Experienced claims handlers are essential to interpreting complex wordings, managing liability nuance, and handling customer interactions with empathy and authority. At ClaimSorted, automation is designed around claims talent, using AI to remove low-value tasks and surface insight, while leaving judgement, negotiation, and decision-making on more complex claims firmly with qualified professionals. This balance ensures claims are handled efficiently without sacrificing quality.

For MGAs, automation must operate within clearly defined authority frameworks – technology should reinforce, not bypass, delegated authority. Guardrails such as financial thresholds, referral triggers, and escalation rules should be embedded directly into claims workflows, ensuring handlers, MGAs, and carriers always have clarity over authority and accountability. Automated outputs remain transparent and auditable, supporting oversight and regulatory review.

The most effective claims models treat AI as decision support, not decision replacement. TPAs must retain ownership of outcomes, supported by technology that explains recommendations and highlights risk rather than issuing black-box conclusions. In addition, claims handlers must have the ability to feedback required improvements to AI models, ensuring continuous improvement and claims handler trust in the technology.

Advanced systems are only effective when handlers understand how to use them properly. ClaimSorted invests in ongoing training that explains not just how tools work, but why they behave as they do, where their limitations lie, and when professional judgement should override automated suggestions. This produces confident handlers who work with technology, not around it.

MGAs increasingly expect insight, not just outcomes. Beyond the standard cycle time and cost, reporting should include policy limit usage, deduction patterns, complaint trends, and leakage indicators. TPAs should deliver maximum insights to each MGA, via live dashboards or frequent periodic reporting.

Ultimately, MGAs benefit most from TPAs who operate as an extension of their business. Strong partnerships are built through shared visibility, open dialogue, and technology that adapts to portfolio needs – supported by claims professionals who understand each MGA’s products, appetite, and brand.

For MGAs, the ideal claims TPA is not the most automated, nor the most traditional – it is the one that combines intelligent automation with outstanding claims talent. At ClaimSorted, we believe this balance is what enables MGAs to scale confidently, maintain regulatory trust, and deliver claims outcomes that support long-term growth.