MRCortex AI Trust Infrastructure
In some sectors an AI action can move money, affect a person, alter an operational system or trigger a regulatory question. This page describes where that is true and what organizations may need to establish — as governance requirements.
What these sectors share is not a technology stack. It is that AI can participate in decisions and workflows with operational, financial, regulatory or human consequences. That is where visibility, governed decisions and verifiable evidence become especially important.
AI increasingly participates in decisions and workflows involving data, transactions and financial risk.
AI can participate in underwriting, pricing, claims and other consequential workflows.
AI can interact with sensitive information, clinical-support workflows and operational systems.
AI can interact with systems and workflows where unintended actions may have significant consequences.
Agents and copilots increasingly connect to tools, APIs, data and enterprise workflows.
AI can participate in public-sector workflows involving sensitive information and consequential decisions.
AI may operate in environments where authority boundaries, oversight and evidence are especially important.
AI increasingly participates in automation, quality, supply-chain and operational workflows.
Authority is treated as context to be established, not assumed. Capability does not confer authority.
Supported requests are evaluated through five governance gates and resolved to allow, escalate or block, on supported paths.
Escalated decisions require human approval with recorded justification.
Governed decisions and relevant changes are recorded as integrity-protected evidence that authorized reviewers can verify and reconstruct for review. Evidence is not permission.
When an AI system can call an API, change a record or trigger a transaction, an error is no longer a bad answer. It is an operational event. Organizations may need to establish:
MRCortex is designed to help organizations establish those facts for governed activity on supported paths — what AI was identified, what authority context applied, what SARVA decided, and what COSMOS recorded.
Identifies AI systems and their access context through supported discovery mechanisms, recording UNKNOWN where facts cannot be established. Explore Discovery
Evaluates supported requests against deterministic governance controls, authority context and policy. Explore SARVA
Preserves verifiable evidence of governed decisions and recorded activity. Explore COSMOS
Customer-Ready V1 in development