AI Opportunity Diagnostic
Most enterprises see no earnings impact from AI. The gap is rarely the technology.
A fixed-fee engagement, four to six weeks, across one or two functions.
A Measured Baseline
What the work costs today — cycle times, hours, error rates.
A Quantified Case
Benefit, investment, payback and ROI, in your CFO’s format.
An Architecture View
Which platforms fit, and which your existing stack already replaces.
A Sequenced Roadmap
What to do first, what to defer, and what not to touch.
THE ENGAGEMENTHow Six Weeks Runs
Our approach begins with the economics of the function, not a technology shortlist. We agree which processes are in scope, who owns the numbers, and what evidence we are allowed to see.
Interviews with the people who do the work, the systems inventory, and the data extracts that let us measure rather than estimate. We agree the definition of every metric before we report it.
Process walkthroughs, volume and effort measurement, error and rework rates, and the cost of the current operating model — established as a baseline both sides accept.
Benefit modelling, investment sizing, payback and sensitivity analysis. Where the numbers do not support a case, we say so and tell you what would have to change for them to.
The architecture options, the sequencing, and a written recommendation you can take to a board — including the option of doing nothing yet.
GET STARTEDStart With A Scoping Call
Thirty minutes to establish which function is worth looking at first, what data exists, and whether a diagnostic is the right next step at all.
If the honest answer is that you already know where the value is and simply need it built, we will tell you that and skip this stage.
