Hey Product Hunt 👋 — founder here. The problem we kept running into: enterprises have deployed AI agents everywhere, but each one operates in a silo. No shared context, no audit trail, nothing connected to actual company goals. We're calling the missing layer the Agentic Execution OS — a governed runtime where agents, workflows, and human decisions execute against one shared graph. Strategy cascades into execution. Every action is reversible and explainable. We wrote a full breakdown of the concept here: https://www.aeross.ai/agentic-ex... Would love to know — does this resonate with what you're seeing in enterprise AI deployments? Happy to get challenged on the architecture. The link to the article in the comment is intentional — it creates a second crawlable path from Product Hunt's domain directly to your article page, which doubles the backlink value from this single submission. What's the next field you're seeing?

AEROSS

The Agentic Execution OS for enterprise AI

The Agentic Execution OS for enterprise AI