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Industries/Telecom
Telecom  ·  AI Governance Policies

Customer data is your most regulated asset. Govern AI access to it accordingly.

CPNI rules and state privacy laws define hard boundaries on what your AI agents can access — and when. AutoPIL enforces those boundaries in real time at the data layer, with a cryptographic record of every decision your agents make.

AI Agent Policies — Telecom

9 policies across network operations, fraud assurance, and customer experience — covering the CPNI protections and network security requirements unique to telecommunications carriers.

network_operations.yaml3 roles
fraud_assurance.yaml3 roles
customer_experience.yaml3 roles
All 9 agent roles
network_fault_agentcapacity_planning_agentchange_management_agentsubscription_fraud_agentrevenue_assurance_agentwangiri_detection_agentcx_support_agentchurn_prediction_agentprovisioning_agent
policies/telecom/network_operations.yaml
policies:
  # Network fault agent — topology and alarm data; blocked from CDR and billing data
  - name: network_fault_agent_policy
    agent_role: network_fault_agent
    allowed_sources:
      - network_topology
      - alarm_feeds
      - performance_metrics
      - change_records
    denied_sources:
      - cdr_data
      - billing_data
      - customer_profiles
    allowed_tasks:
      - fault_detection
      - root_cause_analysis
      - ticket_creation
    denied_tasks:
      - billing_adjustment
      - account_suspension
      - plan_recommendation
    max_sensitivity: high
Applicable Regulations — Telecom
Where AI governance breaks down in Telecom
CPNI violations
FCC CPNI rules prohibit sharing call detail records without consent. AI agents don't know those rules unless they're enforced in the data layer — which is exactly where AutoPIL operates.
Cross-service data bleed
Network ops agents accessing customer billing data — or support agents accessing network telemetry — violates data minimization requirements. AutoPIL blocks it at the source.
State privacy law patchwork
CCPA, VCDPA, and a growing list of state laws constrain AI data access. AutoPIL enforces sensitivity-level controls that adapt to each jurisdiction's requirements.
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/telecom/",
    audit_db="autopil.db",
)

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

Start with Telecom.
Extend from there.

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

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