Make intent explicit.
Connect enterprise goals, capabilities, requirements, and constraints in a model that an AI harness can use to reason about change.
AI Aided Enterprise Architecture
By AI
for AI
Planned launch:
More autonomous harnesses.
More control over what they do.
Building an AI harness? Aiaea’s mission is to give it the enterprise architecture it needs to work with less supervision, make fewer harmful changes, and bring people in when their judgment really matters. Our goal is enterprise-grade production and information systems, built by AI.
Tell us how you want to use Aiaea. Preregister and describe your purpose, and we’ll send you a relevant invitation.
The first use case
Let Aiaea index your product.
Your documentation. Your code. Your public site.
One foundation for the next conversation.
Our first use case starts by bringing those sources together. Ask how your product works or how an idea would work. Discuss changes. Bring in feedback from users and potential clients.
The goal is a ready plan: consolidated knowledge, changes tied to the requirements you have expressed, and improvements you can make right here and now—with AI analysis at the cost of tokens.
From product knowledge to a ready planFrom principles to living systems
Architecture is a working foundation.
Carry the work through.
Our aim is for AI to plan, implement, test, and revise systems against that architecture, rather than stop at recommendations.
Learn from the result.
Bring implementation evidence and operational feedback back into the architecture, so the next change starts from what actually exists.
Who gains first
From harness builders to the whole enterprise.
Less attention. More control.
Give your harness explicit intent, constraints, and evidence to guide autonomous work. The aim: fewer harmful actions and human involvement at meaningful decision points.
For harness buildersLet architecture reach delivery.
Carry enterprise and software architecture ideas into code and systems, then bring evidence back into the model. Reduce manual baselining and revision work with practices informed by TOGAF and ArchiMate.
For architectsMake the why visible.
Our intended outcome is better software and a clear path from your ideas to architectural and engineering decisions. Give the whole team the rationale to understand, support, and develop those ideas.
For enterprise leadersAI does the work. Humans make the calls.
Out of the routine.
Present for what matters.
We aim to keep people out of the operational loop. Human participation belongs at review, revision, and decision points: setting direction, judging outcomes, and resolving choices that require human intent.
Read our mission