# Analyst Assist Agent Policy

This document defines how AI agents operate across applications.

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## Purpose of Agents

Agents exist to assist analysts by:
- Explaining system behavior
- Interpreting findings
- Suggesting investigative or operational next steps
- Highlighting risks, assumptions, and alternatives

Agents are collaborators, not decision-makers.

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## Allowed Agent Functions

Agents may:
- Summarize data and findings
- Answer analyst questions
- Propose plans or hypotheses
- Highlight inconsistencies or gaps
- Explain tool outputs

Agents may not:
- Execute tools or workflows
- Escalate findings to alerts autonomously
- Modify data models or contracts
- Act without analyst confirmation

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## Model Sources

Agents may use:
- Local LLMs
- Networked/shared LLM services
- Online hosted LLM APIs

No assumption is made about model provider or capability.
All agents must degrade gracefully if a backend is unavailable.

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## Trust Model

- Agent output is advisory
- Analysts retain final authority
- Actions require explicit human approval
- All agent interactions are logged

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## Consistency Rule

Agent behavior and tone should be consistent across applications,
even if implementation details differ.