Closing the Blind Spots in Fraud, Waste & Abuse

Fraud doesn't hide in data.
It hides between organizations.

Hospitals, Insurers, and Providers Each Hold Part of the
Picture But Blind Spots Persist at Every Handoff.

Get Access to White Paper

The Scale of Fraud, Waste & Abuse

3-10%

of healthcare spending
lost to FWA

Siloed

data across hospitals,
insurers & providers

No one

sees the complete
picture

Yesterday's tools can't stop tomorrow's fraud.

Rules catch known patterns

Static rule engines miss novel schemes and evolving billing behavior

Generic AI lacks clinical reasoning

Black-box models without medical context create false positives and audit risk

Basys.ai starts with clinicians

Physician-first AI built for the nuance of real-world care delivery

Clinical expertise. AI precision.

Unify Data

Connect claims, authorization,
and clinical signals into a
single integrity view

Clinical Reasoning

Apply physician-grade logic
to flag activity that doesn't
fit medically

Explainable Findings

Deliver transparent rationales investigators and reviewers
can trust

Better architecture. Better outcomes.

98%

clinician agreement

~73%

reduction in reviewer burden

19.5x

projected ROI

The future of FWA isn't replacing reviewers.

It's giving them better evidence.

Explainable AI

Transparent feature attributions and rationales not opaque risk scores alone

Human oversight

Investigators and SIU teams retain ownership of final fraud determinations

Clinical reasoning

Alerts grounded in how care is actually delivered and documented

Transparent decisions

Documentation suitable for triage, escalation, and regulatory reporting

Ready to close the blind spots?

Request the full whitepaper here:

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