💠Data & Autonomy Model

Data & Autonomy Model

This layer forms the backbone of continuous learning and real-time intelligence, powering the data flow, computation, and storage that keep every AI agent evolving.

IMMT treats autonomy as a graduated, revocable, and auditable operational state, not a blanket capability. The autonomy model is designed to balance usefulness with safety by explicitly binding every autonomous action to permissions, cost ceilings, contextual constraints, and continuous monitoring. Autonomy levels are enforced by the Policy Engine at runtime and evaluated before every action. The model output alone can never escalate autonomy.

Autonomy Dimensions

Each autonomy level is defined across four dimensions:

● Action Scope: what categories of actions are allowed (analysis, communication, execution, finance)

● Cost & Risk Limits: monetary, reputational, and emotional-risk ceilings

● Approval Mode: none, explicit, conditional, or delegated

● Audit Intensity: depth of logging, explanation, and post-action review

6.2 Autonomy Levels

● L0 – Observe-only: IMMT performs logging, summarization, and pattern detection only. No external actions or recommendations

● L1 – Suggest-only: IMMT may propose plans or actions with rationale, but execution is fully manual.

● L2 – Approve-to-execute: IMMT executes actions only after explicit Owner approvalEach action includes a concise explanation and rollback option where possible.

● L3 – Bounded autonomy: IMMT may act automatically within predefined workflows, limits, and allowlists. Deviations trigger approval requests.

● L4 – Conditional autonomy: Expanded autonomy becomes active only when predefined conditions are met (time windows, performance stability, low-risk context). Continuous monitoring applies.

● L5 – Extended autonomy (research): Long-horizon planning and execution for low-risk domains. Financial, legal, and high-impact domains remain capped at lower levels.

6.3 Autonomy Revocation and Failsafes

● Immediate downgrade or full shutdown is always available to the Owner ● Autonomy automatically downgrades upon anomaly detection, policy violations, or uncertainty spikes ● All autonomy transitions are logged with timestamps and rationale