Architecture

Multi-Agent Orchestration: LLM Reasoning vs. Transactional Webhooks

A technical framework for separating non-deterministic LLM reasoning from transactional ERP database calls with zero hallucination risk.

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Deploying generative AI in mission-critical business systems requires a fundamental architectural split between the reasoning layer and the execution layer.

The Dual-Core Pattern

In our architecture, the intelligence tier is isolated into specialized sub-agents (e.g., Intake Agent, Policy Checker, Conflict Verifier). Each sub-agent outputs strictly typed JSON schemas that must pass a TypeScript validator before touching backend systems.

Zero-Leak VPC Boundaries

Enterprise clients cannot risk sensitive financial or medical records leaking into public foundation model training sets. We deploy air-gapped models inside private VPC boundaries with temporary cryptographic tokens.

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Architectural Takeaways

  • → Decouple natural language reasoning from system database writes.
  • → Use schema validation as a mandatory firewall between LLMs and ERPs.
  • → Isolate sub-agents to single responsibilities with narrow context windows.
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