Expert-first
SME knowledge is the foundation. Adjusters, clinicians, and dispatchers shape the workflows — not generic training data alone.
About IntelliHuman
Decision infrastructure for regulated workflows — built from expert knowledge, verified in production pilots.
What we do
Regulated teams do not fail because they lack documents — they fail when expert judgment does not scale. A senior adjuster's coverage call, a clinician's prior-auth review, a dispatcher's exception decision: these are high-stakes, policy-bound, auditable judgments that generic AI and RPA cannot reliably reproduce.
IntelliHuman builds decision infrastructure for that layer. Our software encodes domain expertise into workflows that return cited policy language, confidence scores, reasoning summaries, and exportable audit trails — with human override on every recommendation. We integrate as an overlay on your existing CMS, EHR, or TMS; we do not replace Guidewire, Duck Creek, or Epic.
We start with insurance claims — triage, coverage reasoning, and subrogation — where the problem is acute and the integration path is clear. The same architecture extends to healthcare prior authorization and logistics exceptions as we expand with verified design partners.
We are an early-stage company with a working product and structured 90-day pilot framework. We do not ask buyers to trust headline metrics — we ask them to verify outcomes on their own claim volume. That is how regulated software should be adopted.
How we operate
Built for regulated production
Audit trails, policy citations, human override, and security controls are architecture — not afterthoughts.
Verify, then expand
Structured 90-day pilots with agreed KPIs. Design partners prove outcomes before enterprise rollout.
Depth over breadth
Claims first. We go deep on triage, coverage, and subrogation before expanding to adjacent workflows.
See what we built
Walk through claims decision paths, sample output, and our pilot framework.