Agentic Automation Runs Real Operations
Self-hosted agentic workflows drive supply chain and communication ops with deterministic outcomes.
Overview
I architected a sovereign agentic automation engine to replace manual, brittle workflows in enterprise operations. The system deploys a 15-agent swarm on Nomad, governed by a ratified handshake protocol that enforces lease-board governance across diverse LLMs. This ensures fleet-wide integrity: no agent acts without verified coordination, and no unbacked programs execute. I consolidated 65+ unversioned scripts into a managed, secret-scoured repository to support this infrastructure. One pipeline ingests unstructured communication, extracts technical signals, and triggers structured briefs in under 30 seconds. Another automates triage across multiple inboxes. The architecture extends to spatial reasoning, fusing LiDAR point-cloud data with LLM context windows for environmental navigation. All components are self-hosted, auditable, and operate without external cloud dependencies.
Highlights
- 01
Orchestrated 15-agent swarm on Nomad with ratified handshake protocol
- 02
Consolidated 65+ scripts into managed repository with secret hygiene
- 03
Spatially-aware orchestration fusing LiDAR data with LLM context
System Architecture
Agentic data flow from ingestion to structured output with lease-gated execution.
Questions people ask
- How does the agentic system ensure fleet-wide integrity?
- A ratified handshake protocol enforces lease-board governance, ensuring no agent acts without verified coordination.
- How did you improve the existing operational infrastructure?
- I consolidated 65+ unversioned scripts into a managed, secret-scoured repository to support the automation engine.
- Can the system handle complex environmental data?
- Yes, the architecture fuses LiDAR point-cloud data with LLM context windows for spatial reasoning and navigation.