AI Agent AI Campaign Recovery Agent

AI Decision Engine

## Approach Operates in autonomous, supervised, or manual modes based on decision category and confidence thresholds. Applies guardrails for budget limits, ROAS floors, CPA ceilings, frequency caps, and brand safety. Tracks decision outcomes to continuously improve accuracy, maintains learning metrics with trend analysis, and supports human override with reasoning capture for model improvement.

View Core Logic Back to Worker

AI Decision Engine

Part of AI Campaign Recovery Agent

Portal: Nexgile AdPilot Command

Agent ID: decision-engine

Problem Statement

The challenge addressed

## Purpose Provides autonomous optimization with configurable human-in-the-loop controls, guardrails, and learning capabilities for continuous improvement.

Core Logic

How the agent solves it

## Approach Operates in autonomous, supervised, or manual modes based on decision category and confidence thresholds. Applies guardrails for budget limits, ROAS floors, CPA ceilings, frequency caps,... ## Approach Operates in autonomous, supervised, or manual modes based on decision category and confidence thresholds. Applies guardrails for budget limits, ROAS floors, CPA ceilings, frequency caps, and brand safety. Tracks decision outcomes to continuously improve accuracy, maintains learning metrics with trend analysis, and supports human override with reasoning capture for model improvement.

System Navigation

Explore related components

Portal

Nexgile AdPilot Command

Digital Worker

AI Campaign Recovery Agent

Current Agent

AI Decision Engine

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