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Module · Fast enough that nobody routes around you

The IT Team AI Check

IT is the team everyone blames for saying no and nobody thanks for saying yes safely. With AI, the stakes are sharper: if the sanctioned path is slow, people reach for a browser tab and a private account, and your data walks out with them. This module checks the five things that decide whether IT is the fast lane or the roadblock: how quickly you provision, whether there is a catalogue people can pick from, how much friction an access request carries, whether you can see the tools you never approved, and whether the AI tooling you do run is actually current.

Question 1 of 5 · Provisioning is fast

How long does it take your team to get someone a new AI tool they need?

Every day between a request and a working login is a day the person spends looking for a way around you. Provisioning speed is not a convenience metric, it is your single strongest defence against shadow AI: the fast sanctioned path is the one people actually take.

Question 2 of 5 · A tool catalogue exists

Is there a list of sanctioned AI tools your people can actually choose from?

Without a catalogue, every AI request is a bespoke negotiation and every employee guesses at what is allowed. A living list of approved tools, with what each is cleared for, turns a hundred one-off decisions into a menu people can pick from without asking.

Question 3 of 5 · Access has low friction

How much friction stands between someone wanting AI access and having it?

Every form, every approval hop, every wait is friction, and friction is what sends people to the unsanctioned tool. The goal is not to remove control but to make the controlled path the path of least resistance, so doing it right is also doing it easy.

Question 4 of 5 · Shadow IT is visible

Can you see the AI tools your people use that you never approved?

The tools you sanctioned are the ones you can name. The risk lives in the ones you cannot: the browser plugins, the personal accounts, the free tier someone signed up for with a work email. If you cannot see shadow AI, you cannot govern it, and you certainly cannot claim it is not there.

Question 5 of 5 · AI tooling stays current

Is the AI tooling you run kept patched and up to date?

AI tools move fast: models change, connectors update, security fixes ship weekly. Tooling you provisioned a year ago and never touched is running on old models with old vulnerabilities. Currency is not a nice-to-have when the thing has access to your data and a direct line to the internet.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

How fast can your team provision a new sanctioned AI tool for someone?

Weeks or more
A few days
Same day
Minutes, self-serve
We have not measured

Do you maintain a catalogue of sanctioned AI tools?

No catalogue
Informal list
Yes, kept current
Curated, with guidance
Not our remit

How well can you see the unsanctioned AI tools in use?

We cannot see them
Anecdotes only
Periodic discovery
Continuous visibility
We do not know

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.

What the five levels look like

Every dimension in this assessment is scored 1 to 5. This is what the levels mean, dimension by dimension. The graded report diagnoses where your own answers land and what to do about it.

Provisioning is fast

  1. 1Weeks or never
  2. 2Many days
  3. 3A few days
  4. 4Same day
  5. 5Self-serve, minutes

At the low end: If getting an AI tool takes weeks, you are training your whole company to bypass you. Find the one slowest step in your provisioning and cut it this month; speed here buys you more security than any policy. What good looks like: Self-serve provisioning in minutes is what makes the sanctioned path the obvious one. Keep the catalogue behind it curated so fast access never means ungoverned access.

A tool catalogue exists

  1. 1No catalogue
  2. 2Ad hoc approvals
  3. 3Short list, stale
  4. 4Current catalogue
  5. 5Curated, with guidance

At the low end: With no catalogue, every request restarts the same argument and your people cannot tell allowed from forbidden. Publish even a rough list of what is sanctioned; a short list beats no list every time. What good looks like: A curated catalogue with guidance on what each tool is for turns IT from gatekeeper into guide. Keep adding the tools people keep asking for, or the catalogue drifts from what they actually need.

Access has low friction

  1. 1Heavy, manual
  2. 2Many approvals
  3. 3Some hoops
  4. 4Light, quick
  5. 5Frictionless, governed

At the low end: A heavy manual access process does not stop risky AI use, it just moves it out of your sight. Strip the request down to the fewest steps that still give you the control you need. What good looks like: Frictionless access that stays governed is the whole goal: right and easy become the same path. Keep watching where friction creeps back in; it always tries to.

Shadow IT is visible

  1. 1Blind to it
  2. 2Anecdotes only
  3. 3Occasional scans
  4. 4Regular discovery
  5. 5Continuous visibility

At the low end: If you are blind to unsanctioned AI, you are defending a perimeter with holes you cannot see. Run a discovery pass on network and expense data this quarter; the tools you find will tell you where your catalogue falls short. What good looks like: Continuous visibility into what your people actually run is rare and worth guarding. Feed what you find back into the catalogue, so discovery leads to sanctioned options rather than just blocklists.

AI tooling stays current

  1. 1Never updated
  2. 2Rarely, reactive
  3. 3Occasional patching
  4. 4Regular updates
  5. 5Current, monitored

At the low end: AI tooling you never update is accumulating both stale capability and unpatched risk. Put your provisioned AI tools on the same update discipline as the rest of your stack, starting with the ones that touch sensitive data. What good looks like: Current, monitored AI tooling is what keeps a useful tool from quietly becoming a liability. Keep watching the vendors' release notes; in this space, a quarter of neglect is a long time.