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    Use Case: Municipal Transit

    AI Agent Governance for Paratransit Booking Systems

    AI agent governance for paratransit booking requires a distinct non-human identity for each agent, least-privilege permissions segmented across eligibility, scheduling, and dispatch functions, a runtime policy enforcement layer that validates every tool call before execution, and audit logs structured to satisfy both AI oversight requirements and ADA paratransit documentation obligations.

    Explore Runtime Governance Talk to an Expert

    Core Technical Controls

    1. Non-Human Agent Identity

      Each agent instance authenticates with its own scoped, revocable identity rather than a shared API key, consistent with NIST SP 800-207 zero-trust principles applied to non-human system components.

    2. Segmented Least-Privilege Permissions

      Eligibility lookup, scheduling, and dispatch are governed by separate permission sets so a single agent session cannot cross functional boundaries.

    3. Tool-Call Restriction

      The agent's available backend functions are explicitly enumerated (for example, read eligibility status versus modify eligibility record) rather than left open by default.

    4. Runtime Policy Enforcement Layer

      A control point between the agent and backend systems validates each tool call against least-privilege rules before execution, rather than relying on the model to follow instructions correctly.

    5. Human Escalation Path

      Ambiguous or out-of-policy requests, such as eligibility disputes or unusual scheduling patterns, are routed to staff instead of resolved autonomously.

    Implementation Considerations for Transit Agencies

    • Map every backend system the agent will touch (eligibility database, scheduling engine, dispatch or CRM) and document the minimum tool-call set required for each function before granting access.
    • Coordinate with legal and compliance staff to align audit log format and retention with existing ADA paratransit documentation practices.
    • Test agent behavior against adversarial and edge-case scheduling requests to confirm tool-call restrictions hold under conversational manipulation.
    • Verify that any AI-assisted booking interface meets Section 508 accessibility requirements, given that paratransit riders may rely on assistive technology.
    • Include AI agent risk assessment in existing IT security review and procurement processes rather than evaluating it only as a vendor feature.
    • Document least-privilege and zero-trust decisions in formal agency AI use policy, not only in system configuration, to support external audit.

    Governance Pillars for Paratransit Booking Agents

    Agent Identity

    Scoped, non-human credentials for each agent instance rather than shared service accounts.

    Least-Privilege Permissions

    Separate permission sets for eligibility, scheduling, and dispatch functions.

    Runtime Policy Enforcement

    Validation of every tool call against policy before it reaches backend systems.

    Auditable Logging

    Transaction records that satisfy AI oversight and ADA documentation requirements.

    Governance in Practice: Questions Agencies Are Asking

    Defining Governance for AI Booking Agents in Transit

    What permissions should an AI paratransit booking agent hold by default?

    By default, permissions should be minimal and function-specific: read access to eligibility status for verification, scoped write access for booking creation, and no direct access to