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Industries/Pharmacy
Pharmacy  ·  AI Governance Policies

Controlled substance data and patient safety require enforcement, not guidelines.

DEA scheduling, drug interaction data, and patient prescription records sit at the intersection of patient safety and criminal liability. AutoPIL enforces access rules at the retrieval layer — before that data enters any agent context — with a tamper-evident audit chain.

AI Agent Policies — Pharmacy

10 policies across dispensing operations, clinical review, and regulatory compliance — enforcing DEA schedule boundaries, separating pharmacovigilance data from billing, and blocking dispensing agents from accessing clinical trial records.

dispensing.yaml4 roles
clinical_review.yaml3 roles
regulatory_compliance.yaml3 roles
All 10 agent roles
dispensing_agentrx_verification_agentdea_schedule_agentinventory_management_agentdrug_interaction_agentclinical_pharmacist_agentformulary_management_agentpharmacovigilance_agentdea_reporting_agentdrug_recall_agent
policies/pharmacy/dispensing.yaml
policies:
  # Dispensing agent — prescription and patient allergy data; blocked from DEA investigative files and billing
  - name: dispensing_agent_policy
    agent_role: dispensing_agent
    allowed_sources:
      - prescription_records
      - patient_allergy_profiles
      - formulary_data
      - drug_reference_db
    denied_sources:
      - dea_investigative_files
      - billing_financials
      - clinical_trial_records
    allowed_tasks:
      - dispense_verification
      - interaction_check
      - refill_processing
    denied_tasks:
      - dea_reporting
      - adverse_event_filing
    max_sensitivity: high
Applicable Regulations — Pharmacy
Where AI governance breaks down in Pharmacy
DEA-scheduled substance exposure
AI agents accessing Schedule II–V medication data without proper authorization creates DEA enforcement risk and patient safety concerns. AutoPIL enforces the boundary at the source.
PHI isolation in dispensing AI
Dispensing agents need verification data — not full patient records. AutoPIL enforces minimum necessary access at the source level, automatically, on every request.
Pharmacovigilance audit gaps
FDA MedWatch and adverse event reporting requires a complete data access trail. AutoPIL provides it cryptographically — every event, every policy version, permanently.
How to use

One path.
Your industry loaded.

Point policy_path at your industry directory. AutoPIL loads every YAML file recursively — roles, sensitivity rules, and process groups wired up automatically from the directory structure. No additional config needed.

Policies are hot-reloaded at runtime. Extend or override any pre-built policy via the REST API without redeploying your agents or restarting services.

setup.py 
from autopil import ContextGuard

# Point at your industry — only those policies load
guard = ContextGuard(
    policy_path="policies/pharmacy/",
    audit_db="autopil.db",
)

# policies/pharmacy/ — loads recursively
# Switch verticals by changing the path — nothing else changes.

Start with Pharmacy.
Extend from there.

Pre-built policies for pharmacy are included in every AutoPIL trial. Extend or override any rule via the REST API without redeploying.

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