Policy-Aware Assistants

AI Fabrix enables enterprises to move beyond generic chatbots by creating assistants that enforce policies and governance at every step. These assistants are not just knowledge tools — they are compliance-aware digital colleagues that respect enterprise rules, access controls, and regulatory obligations.

Table of Contents

1. Key Capabilities
2. Enterprise Value
3. Example Use Cases
4. Diagram: Policy-Aware Assistant Workflow

Key Capabilities

• Policy Enforcement at Runtime Every answer is checked against enterprise rules — including egress restrictions, redaction policies, and role-based limitations.

• Contextual Governance Assistants understand metadata such as project ID, confidentiality level, or customer classification, and apply policies dynamically.

• Audit & Evidence Hooks Every interaction is logged with traceability, creating audit-ready evidence for regulated processes.

• Customizable Policy Packs Administrators can define policies as code (via the Miso control layer) to enforce sector-specific rules — e.g., GDPR, HIPAA, or financial reporting standards.

Enterprise Value

• Reduce regulatory exposure: Every assistant interaction inherits compliance policies.
• Build trust in AI: Employees and regulators know that AI responses are governed.
• Enable sector-specific copilots: Finance, healthcare, and public sector organizations can safely adopt AI without custom engineering.
• Accelerate adoption: Governance is built in, not bolted on.

Example Use Cases

• Healthcare: An assistant that answers clinical documentation queries but automatically redacts patient identifiers.
• Finance: A reporting assistant that enforces segregation of duties and prevents access to restricted deal data.
• Public Sector: A citizen-service assistant that applies language and disclosure policies consistently.

Diagram: Policy-Aware Assistant Workflow

flowchart TD
    Q[User Query] --> AIA[AI Fabrix Assistant]
    AIA --> PC[Policy Check (Miso Policy Pack)]
    AIA --> MD[Metadata Context (Access Level, Classification)]
    PC --> F[Filtered Response]
    MD --> F
    F --> U[Compliant Answer to User]

Fabrix ensures policies and metadata context are applied before the user receives an answer, not after the fact.