ai-agentic-marketing-workflows

What problem does it solve?

Design and implement autonomous AI marketing agent systems using the PRAL, BDI, and OODA frameworks. Invoke when a client is ready to move beyond reactive GenAI prompting to proactive, autonomous marketing workflows, or when planning an AI-first marketing operations architecture.

Core Features & Use Cases

• PRAL-based loop mapping for perceive–reason–act–learn in marketing workflows
• BDI model documentation (Beliefs, Desires, Intentions) to define decision boundaries
• OODA cycle integration for real-time decision making in social media marketing
• Comprehensive HITL safeguards, wave-based roadmaps, and tool-stack guidance for Wave 1–3 transitions
• Use Case: Architect an agentic marketing workflow that monitors signals, reasons about actions, executes with HITL oversight, and learns to improve prompts and templates over time.

Quick Start

Provide a client scenario and let the agent design an initial Wave-appropriate architecture: start by outlining the four steps of PRAL for a chosen workflow, specify HITL boundaries, and draft a wave-appropriate rollout plan.