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Define Rules, Set Limits, and Maintain Full Control Over Agent Behavior

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Every agent in AksharAI operates within clear boundaries defined by your team. Configuration and guardrails allow you to decide exactly how agents behave, what they can access, when they are triggered, and what they are allowed to say or do.

This is not open-ended automation. It is structured, controlled, and aligned with your data governance policies and internal standards. You retain full control—not just during deployment, but every time the agent interacts with a user or process.

Core Areas of Configuration

Access and Visibility

Decide where each agent appears, which users can interact with it, and under what conditions. You can configure:

  • Role-based access to different agents
  • Visibility based on app context or workflow status
  • Conditional logic to show or hide agents

    • Data Permissions

    Limit the data sources each agent can reference. You can assign:

  • Allowed knowledge bases or structured files
  • Context-specific datasets based on departments
  • Strict visibility layers to protect sensitive inputs

    • Prompt Control and Tone Management

    Configure how prompts are written and how agents communicate. This helps maintain consistency with internal language, tone, and compliance expectations.

  • Use approved message templates
  • Set tone parameters based on department or context
  • Restrict freeform or creative generation if needed

    • Action Boundaries

    Agents can perform tasks, but only those you define. You decide what each agent is allowed to do, and how far its logic should go.

  • Sapprove or deny specific functions
  • Require double validation for sensitive actions
  • Prevent agents from triggering workflows outside of their scope

    • Logging and Oversight

    All agent interactions can be logged for review. This helps maintain transparency, especially in regulated environments.

  • Track when and how agents are used
  • Store interaction records for audit or improvement
  • Identify usage patterns for better configuration over time

    • Why Guardrails Matter

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    Protects Your Systems

    No agent can access data or perform actions unless it is explicitly allowed. This helps prevent unintended outcomes.

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    Maintains Trust Across Teams

    Users know agents will only respond within defined scopes, improving comfort and adoption.

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    Simplifies Internal Review

    When behavior is structured and logged, internal stakeholders can review and improve agents confidently.

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    Supports Governance Requirements

    Guardrails help align your agent usage with internal policies, IT security guidelines, and compliance requirements.

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    Enables Gradual Scaling

    You can start with basic configurations and expand capabilities as teams grow more comfortable with agent use.

    Example Scenarios

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    • An HR Copilot that can access general policy documents but not employee-specific data
    • A support agent that can respond with standard troubleshooting steps but not escalate tickets unless confirmed
    • A sales assistant that recommends pricing logic based on predefined rules but cannot approve discounts
    • A data automation agent that reads from one system and updates another, but only after validation from a manager
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