A health plan sees every encounter and almost none of the context.
Claims data traces a member across providers no single organization can see. It also arrives coded for payment rather than for understanding, which is the gap most plan-side AI work is really closing.
Automation reached the decisions that get appealed.
Utilization review, prior authorization, and claims review now run with model assistance at most plans. State legislatures are converging on the same principle, that a tool may inform a coverage decision but cannot be the sole basis for denying care. That turns the real design question into where a person's judgment enters and how it is recorded.
No platform pays us for a recommendation.
We hold no vendor agreements, so a build-or-buy call is ours to make honestly. The standard we design to is that a decision path is explainable to a regulator, defensible to a contracted provider, and understandable to the member it affects.
Administrative work is the tractable part.
Intake, correspondence, provider data management, appeals handling, and the synthesis that precedes a clinical reviewer absorb enormous effort and carry far less exposure than the coverage determination itself. The spread runs from a regional Medicaid plan with a small analytics function to a national carrier with its own platform team.
Three ways Talbot West works inside Health Plans.
Digital transformation strategy
Strategic advisory and architectural governance for enterprise modernization. Whatever the decision is, we quarterback it.
Explore service ↗02Data engineering
Settle data ownership, quality, and lineage before anything depends on it. We orchestrate the pipelines and master data infrastructure that makes reporting and AI trustworthy.
Explore service ↗03AI engineering
Harness engineering, AI and ML development, and systems integration under one roof. This is where the strategy becomes how you actually work.
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