5 questions that signal whether your organisation's structure supports AI ROI, or is likely to absorb the investment without returning it.
5 questions3 minutesInstant resultNo registration
This is a directional signal, not a full diagnostic. The full AI ROI Diagnostic covers 19 questions across 7 conditions with a quantified ROI projection.
Question 1 of 5
Question 1 of 5
What percentage of your team uses AI tools as part of their daily workflow?
Gains trapped in individual early adopters cannot aggregate to organisational ROI. Under 50% daily use means the return stays at the individual level.
Question 2 of 5
Are your core recurring workflows documented and standardised?
AI amplifies what exists. Applied to unstandardised workflows, AI produces inconsistent outputs that require more review, not less. Standardisation is a prerequisite for AI to deliver consistent value.
Question 3 of 5
Does someone in your organisation have named accountability for AI output quality?
In regulated environments, financial services, insurance, healthcare, AI output review is a compliance requirement before it is a performance consideration. Absence of a named owner means this is ungoverned.
Question 4 of 5
Does your organisation have a declared AI ROI target, in writing, with a named owner?
Without a declared target, there is nothing to measure against. Investment becomes spend and results become anecdotes. A written target with a named owner is the minimum condition for ROI to be measurable.
Question 5 of 5
How many cross-team handoffs does a typical work item require before it is complete?
AI makes generation faster. It does not reduce the wait time created by cross-team dependencies. If a work item waits at 4 handoff points, AI makes the active work faster but the 85–90% wait time stays the same.