Fine-Tuning IAM1: Building a Hierarchical Multi-Agent System on Vertex AI

The Problem: Generic Orchestrator vs Business-Aligned Regional Manager I had Bob deployed as a basic multi-agent orchestrator on Vertex AI Agent Engine. But here's what was wrong: Before Fine-Tuning: Generic "master orchestrator" identity Vague routing decisions No clear decision framework IAM2 specialists had generic instructions Missing business model alignment What I Needed: IAM1 as a Regional Manager (sovereign in domain) Clear hierarchy: IAM1 can command IAM2s, can coordinate with peer IAM1s Intelligent routing based on task complexity Professional IAM2 specialists with standardized deliverables Alignment with IntentSolutions business model (deployable per client) This wasn't just about better prompts. It was about transforming a generic agent into a deployable business product . The IAM1/IAM2 Business Model Quick context on what we're building: ┌─────────────────────────────────────────┐ │ IAM1 (Regional Manager) │ │ - Sovereign in their domain │ │ - Can coordinate with peer IAM1