What to do about it
Why this is the first question, not a technology question
A login is a permission. A job is a commitment.
A login can be counted, and so it gets counted — seats issued, departments active, prompts submitted, hours reported as saved. Those numbers answer whether a capability has been distributed. They do not answer whether the organisation has created value, and they say nothing at all about who answers for the result when it is wrong.
Most companies give AI access and call the activity strategy. That is not an operating model. It is a login.
The uncomfortable version of the question is the one that goes quiet in the room: who is responsible for the result? Not who has access to the tool. Not which vendor supplied it. Who will explain the outcome to the customer, the board, the auditor or the regulator, and who has the authority to stop it.
The Login Quotient measures the distance between those two things — what you have distributed, and what you have actually assigned.
What the number deliberately excludes
The denominator is consequential recurring workflows, not all AI use. A company should not build a bureaucracy around every prompt, and an instrument that demanded a charter for each one would be wrong about how organisations work. Reversible, low-stakes, internal drafting is meant to stay ungoverned. That exclusion is what makes a low score meaningful rather than merely strict.
What it cannot tell you
Coverage is not effectiveness. A charter can exist and still be ignored; a reviewer can be named and have no time, no competence or no authority to reject. This is Gate 0 of a longer instrument, and it measures whether the work has been assigned — not whether the assignment holds under load. The gate that tests that comes later, and it is arithmetic rather than opinion: divide the reviewer's genuinely available hours by the hours of checking the role actually requires. Below one, the reviewer cannot keep up and begins waving work through. At that point the control exists on the org chart and nowhere else.
The E-mployer's Instrument
The Login Quotient is the front door. Behind it is a deterministic sequence that takes a single candidate AI role from "someone suggested this" to a signed commissioning decision — a defined control level, an explicit authority boundary, a named reviewer whose capacity has been checked, an honest economic case, and written conditions under which the role stops.
It is not a maturity score, and the refusal is deliberate. Scoring models are compensatory: a strong number in one column quietly buys forgiveness in another, so a compelling business case papers over the fact that nobody is checking the work. The Instrument does not permit that trade. Some questions are pass/fail, and no amount of good news elsewhere buys them back.
- The Login QuotientOrganisation-wide. Where you are now. (This page.)
- The Necessity GateSix conditions a candidate must satisfy to be a role at all. Any failure stops the process — and which one fails determines what you do next.
- Consequence ClassThe worst harm dimension governs, never the average. This sets how much human control is mandatory.
- Oversight FeasibilityWhether you can actually staff that control at your real volume — and if not, the largest volume you can.
- The Feasibility TestWhether the role is commissionable as scoped, and the four moves available when it is not.
- The Value LedgerThe economics with the terms that normally go missing: the counterfactual, whether released capacity converts to anything, and the cost of the errors that slip past review.
- Authority and PortfolioSeven distinct action powers with thresholds and expiry dates — then which role to commission first, given that senior review time is a single shared pool every AI role draws from.
The Login Quotient and The E-mployer's Instrument are by Dr. Jonah Tebaa, author of
The E-mployee Operating Model (ISBN 9798172190780).
Your figures are calculated in your browser and are never transmitted.
Frequently asked questions
What is the Login Quotient?
The Login Quotient is a four-question diagnostic by Dr. Jonah Tebaa that measures whether a company has an AI operating model or merely AI access. It compares the number of people holding AI access against the number of consequential recurring workflows that have a written, versioned role charter with a named owner and a named reviewer. A company with hundreds of seats and no charters has distributed permission without assigning responsibility.
What counts as a consequential workflow?
A workflow is consequential when its output touches money, customers, legal or employment rights, safety, a regulatory record, or an external commitment. Low-stakes internal drafting is deliberately excluded. The Login Quotient measures neglect of consequential work, not the absence of bureaucracy around every prompt.
What is a good Governed Coverage score?
Governed Coverage is the share of consequential recurring AI workflows that have a live role charter reviewed within the last 90 days. Below 20 percent indicates an access programme rather than an operating model. Between 20 and 50 percent indicates partial governance concentrated in one function. Above 80 percent indicates a genuine operating model, at which point the binding question becomes reviewer capacity rather than coverage.
Does the Login Quotient send my company's numbers anywhere?
No. The calculation runs entirely in the browser in JavaScript. No figures are transmitted, stored or logged, and there is no server-side component to the calculator.