The long view
Artificial Institutional Intelligence
This page is about where AITLA could lead, not what technologyDo sells. Only the first domain, technology, is being built.
An institution is more than its people. It is the way decisions get made, the reasons behind them, and what it learned the last time. Most of that lives in heads, habits and documents nobody reads twice. When people leave, some of it leaves with them.
Artificial Institutional Intelligence (AII) is the idea that this knowledge can be held and used by coordinated AI agents working under the institution’s own rules: agents that keep the reasons with the decisions, follow the same procedures every time, and remember what went wrong. The test is the one any institution faces. It has to earn trust through the quality of its work and by being accountable for every decision.
Seven domains
An institution’s work falls into domains: technology, learning, strategy, people, operations, innovation and its relationships with stakeholders. AII treats each as a domain of its own, with its own agents, joined to the others.
Why technology is Domain Zero
Technology goes first for practical reasons. Every other part of an institution already runs on it. An IT department already works through written procedures, reviews and approvals, so there is a standard to hold agents to. Its work is easy to measure: a build passes or fails, a release is rolled back or it isn't. And its mistakes can usually be caught and undone before they reach anyone, which is not true of a hiring decision or legal advice.
That makes it the place to prove agents can follow an institution’s rules, before anyone asks them to do more.
What comes first
Domain Zero is AITLA, and it is at its foundation stage. Everything else on this page waits until it works.