Words I use, and what I mean by them
Most of the argument depends on distinctions the usual language flattens. One page per term, definition first, so the meaning does not have to be inferred from an essay. The terms below are the working vocabulary behind autonomous decision intelligence — the category Company 8 is building Dan into.
The terms
- Autonomous decision intelligence (https://www.themeetpatel.com/glossary/autonomous-decision-intelligence) — Autonomous decision intelligence is a system that connects a company’s systems, reconciles where they disagree, monitors what matters, investigates what changed, and puts an evidence-backed decision in front of a human — then keeps watching whether the call worked.
- Organizational attention (https://www.themeetpatel.com/glossary/organizational-attention) — The finite capacity of a company to notice, prioritise and act on what is actually happening inside it. Storage buys none of it, and most tools spend it.
- Decision debt (https://www.themeetpatel.com/glossary/decision-debt) — The accumulated cost of decisions a company deferred because the information required to make them was expensive to assemble. It compounds quietly, and is usually repaid during a crisis.
- Management latency (https://www.themeetpatel.com/glossary/management-latency) — The elapsed time between something changing in a business and the person able to act on it knowing about it. Most companies measure system uptime to the second and leave management latency unmeasured.
- Decision infrastructure (https://www.themeetpatel.com/glossary/decision-infrastructure) — The systems, ownership and thresholds that determine how a company moves from information to a decision. Dashboards sit one layer below it, as reporting infrastructure.
- Machine coworkers (https://www.themeetpatel.com/glossary/machine-coworkers) — Software agents that hold responsibilities — which turns them into a management problem (scope, approval, escalation, review) long before it is a technology problem.
- Evidence layer (https://www.themeetpatel.com/glossary/evidence-layer) — The missing tier between raw company data and a recommendation: what is true, how confident we are, and what it implies. Without it, an AI answer is a confident sentence with no accountability behind it.
Frequently asked questions
What is autonomous decision intelligence?
Autonomous decision intelligence is a system that connects a company’s systems, reconciles where they disagree, monitors what matters, investigates what changed, and puts an evidence-backed decision in front of a human — then keeps watching whether the call worked.
What is organizational attention?
The finite capacity of a company to notice, prioritise and act on what is actually happening inside it. Storage buys none of it, and most tools spend it.
What is decision debt?
The accumulated cost of decisions a company deferred because the information required to make them was expensive to assemble. It compounds quietly, and is usually repaid during a crisis.
What is management latency?
The elapsed time between something changing in a business and the person able to act on it knowing about it. Most companies measure system uptime to the second and leave management latency unmeasured.
What is decision infrastructure?
The systems, ownership and thresholds that determine how a company moves from information to a decision. Dashboards sit one layer below it, as reporting infrastructure.
What are machine coworkers?
Software agents that hold responsibilities — which turns them into a management problem (scope, approval, escalation, review) long before it is a technology problem.
What is an evidence layer?
The missing tier between raw company data and a recommendation: what is true, how confident we are, and what it implies. Without it, an AI answer is a confident sentence with no accountability behind it.