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Find the gaps before the assessment panel does.

Panels read AI‑enabled services differently. Teams tend to find that out in the room. Five Service Standard points, one question each.

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TimeAbout five minutes FormatFive open answers OutputA Service Standard report

The first five Service Standard points, reread.

One question per point, on how AI changes each one.

  1. 01

    Understand users and their needs

    How the AI in your service learns about its users, and how well that works for the different kinds of people you serve.

  2. 02

    Solve a whole problem for users

    Where the AI steps in for the user, and what happens when it can't finish the job.

  3. 03

    Provide a joined‑up experience across all channels

    How the AI‑handled parts of your service feel alongside the parts handled by people.

  4. 04

    Make the service simple to use

    How a first‑time user knows what the AI is doing, and what happens when it gets things wrong.

  5. 05

    Make sure everyone can use the service

    How the service works for users on assistive technology, users with low literacy, and people the AI is most likely to get wrong.

A verdict and the reasoning, per point.

Each point gets a verdict and a short paragraph saying why. Built to be argued with.

Sample point, from the report

Point 04. Make the service simple to use.

The AI triage step gives a confident answer most of the time, and the happy path is well tested.

The recovery path, when the model is wrong, is the gap. Users see a generic error and land back at the start, not at the step where the AI stepped in.

The research repository shows testing on the happy path and none on the recovery path. A round of recovery‑path testing, with the users most likely to be misclassified, would close it.

Read a full example report

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Five Service Standard points, one question each. Answers stay in your browser, so you can pick up later.

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