I tried an experiment last Tuesday.
We were in a roadmap meeting—just three engineers and myself. But on the screen, we had a distinct window open for "Devin" (not the real name, but let’s go with it). Devin wasn’t a chatbot waiting for a prompt. Devin was configured as a stakeholder with a specific directive: Protect the long-term architecture.
We were debating a quick feature hack to close a client. The humans were all nodding. "Yeah, we can ship that in 48 hours."
Then, the text stream started. Devin "raised a hand."
It didn’t just offer code; it offered a veto. It pulled up three past instances where similar "quick hacks" caused 40+ hours of technical debt six months later. It flagged the security vulnerability that the patch would expose.
It argued. And it was right.
Welcome to the era of Multi-Agent Governance.
Everyone is busy trying to build agents that do things—write code, send emails, analyze spreadsheets. That’s the easy part. The topic nobody is discussing yet is what happens when you have two agents with opposing goals.
Imagine this scenario:
Agent A (Sales):
Is incentivized to close deals. It wants to promise a custom integration to a lead.
Agent B (Legal/Compliance):
Is incentivized to minimize risk. It sees the custom integration as a breach of protocol.
If you leave these two alone without a framework, they will either hallucinate a compromise that doesn't exist, or they will get stuck in an infinite loop of "I can't do that, Dave."
We need to stop coding "tools" and start coding "corporate bylaws."
At Attri, we aren't just building agents; we are building the Negotiation Layer. This is the space where agents debate before they execute. It’s where the "Sales Agent" and the "Legal Agent" trade constraints in a sandbox environment, resolving the conflict based on a hierarchy we define, before a human ever sees the output.
If you are building an AI strategy right now, ask yourself: Who holds the tie-breaking vote?
The "Empty Chair" in your meetings isn't empty anymore. It’s filled by the sum total of your company’s data and constraints. And honestly? Sometimes it’s the smartest voice in the room.