Agentic AI Reference Architecture

Experience · Software component

Proactive Notifier

Software componentExperienceExperience & Human Oversightarc:ProactiveNotifier

A component that informs users after an agent autonomously completes low-risk actions, stating what was done and why, with options to view details or undo.

Responsibility. Initiates agent-to-user communication about completed autonomous actions.

Also known as: Notification pattern, Post-execution notification, Notification service, Delay notifier, Revised-ETA notifier, Push notification service, Unsolicited report notifier, Proactive alert delivery, Provisional approval with reviewer notification

sends data tosends data tois triggered byis triggered byis routed to byis triggered byreceives data fromis invoked byis triggered byis guarded byEnd User: sends data toEnd UserHuman Approver: sends data toHuman ApproverReplanner: is triggered byReplannerEvent Broker: is triggered byEvent BrokerOversight Gate: is routed to byOversight GateConfidence Gate: is triggered byConfidence GateAlert Consolidator: receives data fromAlert ConsolidatorUnsolicited Reporting Controller: is invoked byUnsolicited Reporting Co…Intervention Timing Optimizer: is triggered byIntervention Timing Opti…Notification Volume Governor: is guarded byNotification Volume Gove…
Direct neighbourhood (hover for relationship types)

Relationships

is invoked by dependency

is routed to by dynamic

is triggered by dynamic

receives data from dynamic

sends data to dynamic

is guarded by control

Design guidance

Classification

Patterns
Notification-only oversightPush-based interactionNotify-after-autonomous-action
Technologies
Push notificationSMS
Quality attributes
Transparency and accountability (NIST AI RMF: accountable and transparent)Performance efficiency (ISO/IEC 25010)
Risks mitigated
Unnoticed autonomous changesAlert fatigue

Sources

  1. Ch1.1A: T. Nguyen, "Designing User Interfaces for Intuitive Human-Agent Interaction," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.1A. ISBN: 9798244538229.
  2. Ch1.1B: T. Nguyen, "Human-in-the-Loop Patterns and Accessible Design," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.1B. ISBN: 9798244538229.
  3. Ch1.3: T. Nguyen, "Multi-Agent Systems," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.3. ISBN: 9798244538229.
  4. Ch5.6: T. Nguyen, "A* Search and Replaning," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.6. ISBN: 9798244538229.
  5. Ch10.2: T. Nguyen, "Proactive Agents," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.2. ISBN: 9798244538229.
  6. Ch10.4: T. Nguyen, "Human-in-the-Loop," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.4. ISBN: 9798244538229.