Alethesis AI provides runtime authority infrastructure for AI agents, ensuring high-risk actions are routed to accountable humans before execution. The platform scores each action's risk, pauses critical operations, and records every decision as tamper-evident evidence for audits. It works alongside existing guardrails to close the accountability gap in production agentic AI systems.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents can execute high-risk actions autonomously without any human authorization, creating an accountability gap. Agent behavior drifts after deployment, crossing limits undetected, and losses only surface in audits months later. Organizations lack a mechanism to ensure the right accountable human decides before consequential actions execute.
Solution
Alethesis AI provides runtime authority infrastructure that holds high-risk agent actions before they execute, scores their risk, and routes them to the accountable human with full context. The platform works from outside the agent system, applying deterministic process logic to determine who is accountable for each specific action. Only critical actions pause—everything else continues running at speed. Every human decision is recorded as tamper-evident evidence, linking the decision to the action it governed. This enables organizations to deploy more agents in production with confidence, while maintaining continuous oversight evidence for audits and regulatory compliance.
Target Audience
Primary customers are enterprises deploying AI agents in production, particularly in regulated industries such as banking, financial services, and other sectors where consequential automated actions require human accountability and audit trails.
Features
- Risk-proportional routing that scores each action's severity, scope, and reversibility before execution
- Deterministic runtime enforcement external to the agent system, encoding organizational process logic
- Tamper-evident decision records linking each human approval to the specific action it governed
- Real-time risk management that focuses human attention only on critical actions, avoiding full workflow pauses
- Context-rich decision routing that assigns actions to the accountable human based on action context and organizational hierarchy
- EU AI Act compliance support for Article 14 human oversight and Article 26 deployer obligations