PL

AI readiness audit

Team capabilities

AI readiness audit

Is your data and tooling roadmap aligned with what the team can actually operate?

Gaps in skills and culture for working with data and tools.

01

Focus on the outcome of “Team capabilities”, not a generic deliverable list

We tie “Gaps in skills and culture for working with data and tools.” to a decision-oriented summary so your team and leadership share one picture.

02

Time-boxed, clear criteria

Work under “Team capabilities” in AI readiness audit uses milestones you can read in the calendar, not in slide footnotes.

03

A format the organisation can run with

You get documentation and a handover you can use next week, not a shelfware PDF.

Does this situation sound familiar?

If you recognise at least two of the following signals, the process below can help you align work and decisions.

  • Stakeholders use different language for the same process around “Team capabilities”.
  • Decisions on “Team capabilities” are delayed because scope and data are not agreed.
  • You need a view on “Team capabilities” that leadership and teams can use in the same way.
  • The cost of inaction is rising faster than the cost of a structured step on “Team capabilities”.

How we work

  1. Week 1

    Kickoff and scope

    We align the scope of “Team capabilities”, data, interviewees, and success criteria.

  2. Weeks 2–3

    Workshops / analysis

    As needed for the offer: workshops, mapping, tests, or review — as fits “Team capabilities”.

  3. Week 4+ / closure

    Handover and next steps

    Deliverables you can act on: what to implement, in what order, and who owns the next move.

What you get at the end

  • Report / result pack

    A document for “Team capabilities” with conclusions, references to evidence we used, and recommended moves.

  • Prioritised next steps (backlog)

    Clarity on quick wins, items waiting on data, and items that need a leadership call.

  • Handover pack

    Materials your internal team can use without “consultant-only” context.

  • Optional: closing workshop

    One working session with owners so the meaning is shared, not only a PDF in email.

Questions we often hear

How long does this typically take?

We set scope in week one. As a guide, from a few weeks up to about three, depending on data and stakeholders.

Do you need a prior diagnosis?

We sometimes reuse an existing diagnosis. If data for “Team capabilities” is missing, we surface that at kick-off.

Who should join from our side?

A decision owner, a topic owner, and access to the right data. We spell out names in the kickoff list.

For teams that want to make “Team capabilities” real within AI readiness audit

If the line “Gaps in skills and culture for working with data and tools.” matches your case, book an intro call (button below).

Book a conversation

Fill in a few details — we will send your request and a confirmation to your inbox. We will reply within one business day.

Step 1 of 2 — topic

What is this conversation about?

Programme inquiry

Choose how you’re contacting us, then add email and phone. For a company, include the name. We’ll follow up about the programme you picked from the catalogue.

Required — min. 9 digits (including country part).