AI readiness audit
AI readiness audit
Where automation and models actually help — and where they would add cost without payoff.
01
We tie “Where automation and models actually help — and where they would add cost without payoff.” to a decision-oriented summary so your team and leadership share one picture.
02
Work under “Process maturity” in AI readiness audit uses milestones you can read in the calendar, not in slide footnotes.
03
You get documentation and a handover you can use next week, not a shelfware PDF.
If you recognise at least two of the following signals, the process below can help you align work and decisions.
We align the scope of “Process maturity”, data, interviewees, and success criteria.
As needed for the offer: workshops, mapping, tests, or review — as fits “Process maturity”.
Deliverables you can act on: what to implement, in what order, and who owns the next move.
A document for “Process maturity” with conclusions, references to evidence we used, and recommended moves.
Clarity on quick wins, items waiting on data, and items that need a leadership call.
Materials your internal team can use without “consultant-only” context.
One working session with owners so the meaning is shared, not only a PDF in email.
We set scope in week one. As a guide, from a few weeks up to about three, depending on data and stakeholders.
We sometimes reuse an existing diagnosis. If data for “Process maturity” is missing, we surface that at kick-off.
A decision owner, a topic owner, and access to the right data. We spell out names in the kickoff list.
If the line “Where automation and models actually help — and where they would add cost without payoff.” matches your case, book an intro call (button below).