AXHUB5 cards

On the answer
"moving first is the standard"

An employee asked their department head.
"I feel like we shouldn't just use AI at work — is there a company standard?"
"No. Moving first is the standard."

The person who asked ended up more anxious — and that exchange struck a chord.
Why?

We placed a field exchange (social media) alongside Stanford's analysis of 51 deployments

Making a standard1 / 5

It hardens into a "person system"

Let everyone move first without a standard, and
half a year later you're left with a person system — "that task is whatever Kim somehow manages."

The know-how lives in a head, not a document,
and if Kim leaves, the work and the risk leave together.

That's exactly the point the employee raised.
"If it goes wrong, I feel like there'd be no control."

Source The department-head exchange (social-media anecdote) — the outcome of adoption without a standard

Making a standard2 / 5

Meet the blocking department first

Stanford counted where resistance came from across 51 successful deployments.
Number one wasn't the front line (23%) but legal, HR, risk, and compliance (35%).

But bring them in early and they often turn into a dependable support function.
Meet them late, a wall; meet them first, an ally.

Source Stanford Enterprise AI Playbook — frequency of resistance sources

Making a standard3 / 5

Three lines are enough to start the rules

Say "governance" and people picture a dozens-of-pages policy.
At the team level, three lines come first.

Data you're allowed to put in.
Review and accountability.
Records.

With these three lines, "using it recklessly" and "using it fast" become distinguishable.

Sample three lines 1) Customer real names, contact details, and contract amounts don't go into external AI 2) Outputs that leave the company are checked by an owner, and accountability rests with the one who checked 3) Good prompts and incident cases are kept in team docs

Source 90-day playbook — "no governance document" is one of the 6 failure points

Making a standard4 / 5

Evaluate by outcomes, not usage

With no standard, evaluation goes strange too.
That's why Big Tech's "rate employees by token usage" story became a debate.
Should someone who ran AI all day get a good rating?

Everyone's capacity to produce went up.
What to look at isn't output volume but which problem disappeared.

Change the evaluation question Instead of "how much AI did they use" — "so what got faster, and what disappeared?"

Source The token-usage evaluation debate (social-media perspective) — separating output from outcome

Making a standard5 / 5

Rules don't slow you down

"Make a standard and you'll slow down" is the move-first logic.
In practice it's closer to the opposite.

Without rules, departments duplicate the same experiments,
weeks go to cleaning up incidents, and what worked gets stuck in personal notes.

The team with three-line rules and shared docs actually spreads faster.

Self-check Where is your team's best prompt right now — in a personal note, or in team docs?

Source Stanford playbook — 77% of the hardest obstacles are change management and process

AXHUBclosing

You can have both
moving first and a standard

Starting to use it fast and using it without a standard are different things.

What you can do this week —
carve out 15 minutes of a team meeting to write the three-line rules together.
The moving-first that follows becomes an asset.

See the source material on axhub.net

Sources: field exchange and evaluation debate (social-media anecdote and perspective) · Stanford Enterprise AI Playbook (figures) · 90-day playbook

AXHub card No.8 — the exchange and the evaluation debate are cited as a social-media anecdote and perspective; the figures (35%/23%, 77%) are from source-checked material.

On the answer"moving first is the standard"