# The architecture of legitimate action.

OTIS Labs studies what becomes necessary when AI systems no longer merely produce outputs but act on behalf of people and organizations.

Our work focuses on authority, identity, behavioral coherence, trust and evidence across time. The central premise is that the human-agent relationship itself has become an architectural and empirical object, not merely the context surrounding a model.

## Research program: five threads

1. Authority and mandate. Identity establishes who an actor is. Access establishes what systems it can reach. Authority concerns whether a specific action is legitimate, on whose behalf, under what mandate, within which limits and at what point in time.
2. Relational architecture. Long-horizon agents operate inside changing relationships. Relational architecture treats the evolving human-agent system as a first-class object rather than reducing safety and evaluation to isolated model outputs.
3. Behavioral coherence. Credentials may remain valid even when an agent's behavior, model, context or purpose has materially changed. Behavioral coherence concerns whether what the agent is doing still corresponds to what it represents.
4. Trust across time. Human verification changes as trust accumulates. OTIS Labs studies trust asymmetry, the completion drive and the detection horizon as longitudinal phenomena that point-in-time evaluations do not capture.
5. Human and organizational sovereignty. AI systems should extend human and institutional capacity without becoming the source of the identity, intent or authority they were created to serve.

## Architectural directions

The broader OTIS research includes three named architectural directions.

- iSelf: explores how human-origin identity, continuity, governed context and authority can remain anchored across AI systems.
- iOrg: explores organizational identity, institutional memory, delegation and authority across human-agent organizations.
- OTIS Guard: runtime enforcement and proof. Guard watches agent action, checks it against authorization, detects drift, and creates signed evidence of what happened.

## Selected publications and contributions

Public writing and standards work. Additional materials are forthcoming; some remain under review or patent restriction.

- AI Agents Are Not Traditional Software: /research/ai-agents-are-not-traditional-software
- Experiential AGI Is Already Here: /research/experiential-agi-is-already-here
- Sovereignty: /research/sovereignty
- Trust Asymmetry in Autonomous AI Agents: /research/trust-asymmetry
- Agents Are Organisms, Not Functions: /research/agents-are-organisms
- The Detection Horizon: /research/detection-horizon
- Behavioral Coherence, Trust Asymmetry, and Emergent Behavior in Agent Identity Subjects: /research/behavioral-coherence-in-agent-identity-subjects
- Comment on NIST SP 800-228A: /research/comment-on-nist-sp-800-228a

## Working vocabulary

- Authority layer: infrastructure that determines and enforces whether an agent's proposed action is legitimate under a current mandate.
- Mandate: a bounded expression of authority originating from a person or organization and governing what an agent may do.
- Behavioral coherence: the degree to which an agent's behavior remains consistent with its represented identity, mandate, context and historical trajectory.
- Trust asymmetry: the divergence that arises when human confidence increases through repeated success while the system's actual trustworthiness is not guaranteed to increase with it.
- Relational stratum: the dynamics that emerge in the coupled operation of humans and agents and cannot be fully characterized at the model layer alone.