Five questions

Five questions your board will ask. Can you answer them today?

Ask these in your next leadership meeting and watch the room. Nobody will bluff, because everyone will recognize the same problem at once: the answers are not in any system, any report or any deck, because the work they are about has never been drawn. Every AI decision your organization has made so far was made without them. The next ones don’t have to be.

Question 01

“Your AI plan will automate thirty percent of the work. Thirty percent of what?”

Why no one can answer it: there is no denominator. An org chart is a map of authority. A job description is a map of intent. Neither is an inventory of the work itself — the actual, individual actions the organization performs. So every automation percentage anyone has ever presented is a number over an unknown. Including the ones in your own deck.

The only way anyone has answered it: build the inventory. NOW OS maps an organization's work across ten levels — from the institution down to the atomic action — so “thirty percent” finally has a whole to be thirty percent of.

See the ten-level work model →
Question 02

“Pick any task. Show me the evidence it belongs to a person, a machine, or both.”

Why no one can answer it: allocation today is decided by hierarchy, habit, budget, or whichever vendor demoed last. No task has ever been scored, so there is no evidence to show — only an opinion, delivered confidently. Ask it and listen to the room reach for one.

The only way anyone has answered it: score it. Every action is scored against your own rules — your policies, your risk appetite, your values — and lands in one of four modes: Automate, Augment, Assist, or Human-Only, with the reasoning attached. Not a binary, and never a verdict you can't inspect.

See the four modes →
Question 03

“Which decisions is AI making in your organization right now — and who signed for each one?”

Why no one can answer it: agents are already running. Nobody kept the list, and nobody recorded a named approver per decision. When a regulator, an auditor, or the board asks — and they will — “we'll pull it together” is the tell. It cannot be pulled together, because it was never written down.

The only way anyone has answered it: record it structurally, not after the fact. In NOW OS nothing promotes itself to autonomy; a named person approves each allocation, and every decision lands in a tamper-evident record that re-verifies itself every time it is read.

See the six structural guarantees →
Question 04

“What does one unit of that work cost by hand, versus by machine — and how do you know?”

Why no one can answer it: salaries and FTE counts exist. Cost at the level where work actually happens — the action — does not. Which means every AI ROI figure in every deck you've approved was a guess dressed as a number.

The only way anyone has answered it: compute it at the action. NOW OS carries a labor cost per action — done by hand versus done its way — and rolls it up. The ROI becomes a sum of things you can inspect, not an estimate you have to trust.

See a worked case with the numbers →
Question 05

“What work must stay human — and where is that list?”

Why no one can answer it: everyone has an automation list. Nobody has a defended human-only list with the reasoning attached — because “keep it human” has always been a feeling, not a finding.

The only way anyone has answered it: reserve it on evidence. Human-Only is one of the four modes, held to the same scoring as the other three. On the reference instance, tens of thousands of actions are recommended Human-Only — by the same rules that recommend automation elsewhere. We may be the only AI company whose product tells you what to keep human.

Why Human-Only is one of four →

One admission

All five collapse to a single sentence.

“We can't see our work at the level where these questions live.”

All five are answered by one act: map the work to the individual action, score each on evidence, and have a named person sign each allocation. NOW OS does that in weeks, not years. The sooner you can answer these five, the sooner every other AI decision gets easier.