Healthcare and life sciences
Policy-aligned AI for sensitive clinical and operational work
Prior authorisation · Clinical documentation review · Patient communication
The problem
Work across the care journey carries real risk without being diagnostic. Tone, accuracy and cultural fit all matter, and failures erode trust in the provider. OECD analysis puts the direct cost of diagnostic error at roughly 17.5 percent of healthcare expenditure, and communication failure is a recognised contributor.
Source: OECD, 2025.
Three decisions
What Brain AI runs here
Prior authorisation and medical necessity
The applicable clinical criteria and coverage policy are compiled before any recommendation is formed. The engine maps the case against each criterion, evidencing it or flagging it as unmet, and prepares the recommendation for a clinical reviewer.
Clinical documentation review
Documentation and coding checked against what the record actually supports, with discrepancies surfaced rather than silently corrected.
Patient communication and care navigation
Every message grounded in approved content and the patient's actual context, with tone and boundary compliance checked separately from the reasoning that produced it.
Further applications
Safety-checked information retrieval and research synthesis.
Human authorisation
The platform prepares and proves the work. A person decides.
Every patient-facing message and every authorisation recommendation passes to a clinical reviewer with the reasoning trace attached. No message reaches a patient and no authorisation decision is made without a clinician deciding.
Every deployment routes output to a named reviewer, and nothing reaches the person it affects until that reviewer authorises it.