Fossil-Image
In development · Image authenticity and review support
Fossil-Image is being developed to help organizations examine potentially manipulated or AI-generated images. Intended applications include insurance, life sciences, research, and education workflows where image evidence needs careful review.
The planned approach combines image analysis, explainable indicators, and review records to help human reviewers investigate questionable visuals. Intended capabilities include checks for manipulation, source inconsistencies, and AI-generated-image signals.
Evaluation is central to development: representative test sets, false-positive and false-negative analysis, and workflow-specific acceptance criteria will be needed before deployment. Accuracy, integration, and operational requirements must be validated for each use case.
Fossil-Image is not presented as a generally available product or a guarantee of image authenticity.
Prior-Auth Copilot
In development · Prior-authorization workflow support
The FAHalways Prior-Auth Copilot is being developed to support administrative review workflows for payers, pharmacy benefit managers, and provider networks.
Intended capabilities include organizing supplied policy documents, linking relevant requirements to source evidence, identifying missing information, and preparing review summaries for qualified staff. Human reviewers remain responsible for clinical and coverage decisions.
Development priorities include evidence traceability, policy-version handling, exception escalation, and consistent handoffs. Evaluation should test retrieval accuracy, unsupported statements, missed requirements, and the quality of completed review materials.
Deployment readiness, privacy and security controls, integration requirements, and applicable compliance obligations must be assessed before any operational use. Availability and scope are subject to development and validation.
