RaaS: A Trust Architecture for High-Risk AI Domains
High-risk domains – healthcare, legal, public policy, religion – cannot tolerate AI systems that invent facts. Reasoning-as-a-Service (RaaS) is our approach to building high-trust AI that only works from verified sources, with traceable reasoning.
From black-box AI to transparent reasoning
Most AI tools operate as black boxes. They may provide an answer quickly, but decision-makers have little visibility into why that answer was chosen or which sources influenced it. RaaS replaces this black box with a trust architecture.
Key components
- Verified source registration and tagging.
- Hybrid retrieval anchors linking answers to specific passages.
- Transparent reasoning views for reviewers and regulators.
- Audit trails for continuous improvement and governance.
- Adjustable trust modes for different risk profiles.
Where RaaS fits
RaaS is most valuable where there is a clearly defined body of official knowledge, where the cost of wrong answers is high, and where users require explanations – not just final outputs.