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PRD-STD-016: Channel-Specific AI Governance

Standard ID: PRD-STD-016 Version: 1.0 Status: Active Compliance Level: Level 2 (Managed) Effective Date: 2026-02-22 Last Reviewed: 2026-02-22

How To Use This Standard

This page is the normative source of requirements for this control area. Use it to define policy, evidence expectations, and audit/compliance criteria.

For implementation and rollout support:

Use the Compliance Level metadata on this page to sequence adoption with other PRD-STDs.

1. Purpose

This standard defines mandatory governance controls for AI products that operate across multiple delivery channels. AI behavior that is safe and effective in a web interface may violate platform policies on messaging channels, exceed latency budgets on voice channels, or produce unsafe outputs in constrained mobile UIs. Without explicit channel governance, organizations risk inconsistent user experiences, platform policy violations, and channel-specific safety failures that go undetected by aggregate monitoring.

2. Scope

This standard applies to:

  • Any AI product feature deployed across more than one delivery channel
  • Any AI feature deployed on a third-party platform with its own terms of service and content policies
  • Channels include: web applications, mobile applications, REST/GraphQL APIs, messaging platform integrations (WhatsApp Business, Telegram, Slack, Microsoft Teams), voice interfaces (IVR, voice assistants), email, and embedded widgets

This standard does not replace PRD-STD-009 through PRD-STD-012. It adds channel-specific controls required for multi-channel AI product operation.

3. Definitions

TermDefinition
Delivery ChannelA distinct surface through which AI product behavior reaches end users — including web, mobile, API, messaging, voice, and email
Channel InventoryA documented registry of all channels through which AI features are deployed, with per-channel risk tier, owner, and compliance status
Platform Compliance OverlayAdditional governance controls required by a third-party platform's terms of service, content policies, or technical constraints
Channel-Specific SLOService-level objectives tailored to a specific channel's latency, throughput, and reliability expectations
Human HandoffThe transfer of an AI-managed interaction to a human agent, with channel-appropriate mechanisms and context preservation
Channel FallbackA predefined degraded behavior mode when AI capabilities are unavailable or unsafe on a specific channel
Multi-Channel ConsistencyThe principle that AI product behavior should produce equivalent quality and safety outcomes across channels, adapted for each channel's constraints

4. Requirements

4.1 Channel Governance Framework

MANDATORY

REQ-016-01: Every AI product MUST maintain a Channel Inventory documenting all channels through which AI features are deployed, including channel type, risk tier, named channel owner, and compliance status.

REQ-016-02: Each AI feature MUST be individually assessed for channel suitability before deployment on a new channel. A feature approved for web deployment MUST NOT be assumed safe for messaging or voice channels without channel-specific evaluation.

REQ-016-03: Every channel MUST have a named owner accountable for channel-specific safety, compliance, and performance.

REQ-016-04: Channel governance reviews MUST occur before adding AI features to new channels and at minimum semi-annually for existing channel deployments.

4.2 Channel-Specific Safety Policies & SLOs

MANDATORY

REQ-016-05: Safety policy boundaries MUST be defined per channel, accounting for channel-specific risks (e.g., messaging channels have higher abuse potential; voice channels have limited output correction options).

REQ-016-06: AI feature SLOs MUST be defined per channel, reflecting channel-appropriate latency, throughput, and availability targets. Voice channels MUST define sub-second response time SLOs. Async messaging channels MAY define relaxed latency SLOs.

REQ-016-07: AI-generated response format, length, and structure MUST be validated against channel constraints (e.g., character limits on messaging platforms, audio length limits on voice, screen size on mobile).

RECOMMENDED

REQ-016-08: Organizations SHOULD implement channel-specific content filtering levels where platform policies or user expectations differ by channel.

4.3 Platform Compliance Overlays

MANDATORY

REQ-016-09: When deploying AI features on third-party platforms, the organization MUST identify, document, and comply with all platform-specific content policies, messaging policies, and technical requirements.

REQ-016-10: Platform policy changes MUST be monitored and assessed for impact on AI feature compliance. A process for policy change detection and response MUST be documented.

REQ-016-11: AI features on platforms requiring template approval (e.g., WhatsApp Business message templates) MUST have template governance workflows ensuring templates are approved before deployment and re-validated after AI behavior changes.

RECOMMENDED

REQ-016-12: Organizations SHOULD maintain a platform compliance matrix mapping each third-party platform's requirements to AEEF controls and identifying supplementary controls needed.

4.4 Channel-Appropriate Fallback Behavior

MANDATORY

REQ-016-13: Every AI feature MUST define channel-specific fallback behavior for when AI capabilities are degraded or unavailable.

REQ-016-14: Messaging and voice channels MUST implement human handoff capabilities with context preservation. The handoff MUST transfer conversation history, user intent, and AI confidence signals to the human agent.

RECOMMENDED

REQ-016-15: Organizations SHOULD define per-channel escalation thresholds based on AI confidence scores, safety signals, and user sentiment to trigger human handoff automatically.

4.5 Multi-Channel Consistency

MANDATORY

REQ-016-16: AI product behavior MUST produce functionally equivalent outcomes across supported channels. Quality and safety parity gaps between channels MUST be documented and tracked.

REQ-016-17: Release testing MUST include channel-specific test cases for each supported channel. End-to-end testing MUST validate AI behavior through the actual channel delivery path, not only via internal APIs.

RECOMMENDED

REQ-016-18: Organizations SHOULD implement unified identity and conversation context across channels so that users transitioning between channels experience continuity.

5. Implementation Guidance

Minimum Channel Governance Pack

Teams SHOULD establish:

  1. Channel Inventory template with risk tier and compliance status
  2. Per-channel safety policy specification
  3. Platform compliance matrix for active third-party platforms
  4. Channel-specific SLO definitions
  5. Human handoff protocol per channel
  6. Channel fallback runbooks
  7. Multi-channel end-to-end test suite

Example Channel Inventory

ChannelTypeRisk TierAI FeaturesPlatform ComplianceOwnerStatus
Web ChatWebTier 2Intent classification, response generationN/A (own platform)@web-team-leadActive
WhatsApp BusinessMessagingTier 2Response generation, appointment bookingWhatsApp Business Policy, template approval@messaging-leadActive
Mobile AppMobileTier 2Response generation, push notificationsApp Store / Google Play policies@mobile-leadActive
Voice IVRVoiceTier 3Intent classification, call routingTelecom regulations@voice-leadActive
REST APIAPITier 1All features (consumer-managed UI)API Terms of Service@api-leadActive
Slack IntegrationMessagingTier 1FAQ, status queriesSlack App Directory Policy@integrations-leadBeta

Minimum Operational Metrics

Track at least:

  • per-channel availability and latency against SLOs
  • per-channel safety violation rate
  • platform compliance audit pass rate
  • human handoff rate by channel
  • cross-channel quality parity gap
  • channel-specific user satisfaction scores

6. Exceptions & Waiver Process

Waivers are limited to non-safety procedural controls and MUST include:

  • business justification
  • compensating controls
  • named approver
  • expiration date (maximum 30 days)

No waivers are permitted for:

  • deploying AI features on a channel without channel-specific safety evaluation
  • missing human handoff capability on messaging or voice channels
  • non-compliance with documented third-party platform policies

8. Revision History

VersionDateAuthorChanges
1.02026-02-22AEEF Standards CommitteeInitial release