Aetheric AI Agent Workflow Research.
Aetheric is an AIRIG research concept for structuring AI agent workflows. It focuses on policy checks, human handoffs, action logging, and operator review for teams exploring higher-risk AI tasks.
Agent workflows with policy gates and review records.
The model is organised around practical checkpoints that help teams decide where autonomy stops, where policy applies, and where people review evidence.
Policy Checks
Aetheric describes how workflow steps can be checked against task policy, source requirements, and review thresholds before an output moves forward.
Data Boundaries
The workflow model separates source material, generated output, and review records so teams can reason about access, retention, and handoffs.
Integration Notes
The research model describes how orchestration records, run receipts, and policy-bound agent handoffs could support enterprise integration teams.
Safety Protocols
Safety controls connect each agent action to verification checkpoints, escalation thresholds, and operator-readable audit trails before deployment.
Deployment Boundaries
Deployment planning should define where data is processed, how state is exchanged, and which operators can inspect policy and review records.
This page documents a product research direction for AI agent workflows, policy checks, and operator review.