AMEA: how agents run real business workflows, safely
In short: AMEA is the architecture layer of our research. It describes how AI agents can take over the coordination work in a business (preparing, routing and checking) while every action they propose is checked by fixed rules before it touches money, data or a customer. Anything that fails the checks stops and goes to a person.
The question it answers: How do autonomous agents execute complex organizational workflows?
The coordination problem, and the condition for solving it.
Ronald Coase's Theory of the Firm explains why companies hire more people as they grow: coordinating work internally gets more expensive as volume rises. AMEA asks what changes when agents do that coordination, and answers that they can, but only if the system is built so that a model's mistake cannot reach anything real on its own.
Four layers between a request and a result.
| Layer | What happens |
|---|---|
| 1. Intake | Incoming events (orders, bids, webhooks) are turned into strictly typed data, so the model can only produce valid formats. |
| 2. Verification checks | Every proposed change passes a set of fixed checks (format, regulatory rules, no duplicates) before it can move forward. |
| 3. Agent routing | Specialised agents share the work through typed tool calls, with safeguards against double execution. |
| 4. Settlement | Agents never hold the keys to pay, commit or publish. Settlement happens only after every check has passed. |
When something fails: the agent gets a limited number of attempts to correct it. After that, the item stops and goes to a human. Nothing fails silently.
What the paper does not claim.
The central result is a proposition under stated assumptions, not an unconditional proof. The performance figures come from a disclosed, illustrative simulation, not a production deployment. The paper also names its own weak spot: if checks fail together for the same reason, the bound can break.
Where it shows up.
The six-stage architecture on Solutions, the workflows on How We Work, and the Autonomous Programmatic Clearing paper, which applies AMEA to programmatic advertising.
Autonomous Micro-Enterprise Architectures (AMEA)
How to cite: Rajagopal, R. K. (2026). Autonomous Micro-Enterprise Architectures (AMEA). Secular Labs AME Architecture Series. https://doi.org/10.5281/zenodo.22095028
Frequently asked
Is AMEA a product?
No. It is a reference architecture. We use it to design and audit systems, and our AdTech plugins are built on it.
Does AMEA remove people?
No. People handle the exceptions and the decisions that need judgment. AMEA changes what people spend their time on.
What is the difference between AMEA and AMEI?
AMEA is one of the five pillars of the operational core. AMEI is the layer that contains all five.