Strategy · Free AI tool

    Cost of Chaos Calculator

    Your data mess has a price tag. Quantify it with board-ready numbers that make the case for change.

    Built for: CFO, CEO, Head of Data

    "Our data is a mess" is an observation. "Our data costs us £340,000 a year in duplicated effort" is a budget line. Until the problem has a number attached, it loses every argument against something that does. This calculator produces the number.

    Enter your team size, salary band, the hours lost to data work and the symptoms you recognise: duplicate reports, conflicting metrics, manual exports. You get the annual cost, the FTE equivalent, the hidden costs nobody budgets for, and the ROI projection for fixing it.

    What you get

    The total annual cost of the chaos, with the calculation shown and assumptions included

    The FTE equivalent: how many people's worth of work the mess consumes

    The hidden costs: duplicate reports, conflicting metrics, decision delays, churn risk

    An ROI projection and the quick wins that pay back first

    How it works

    Step 1

    Answer a few questions

    Plain-language questions about your situation. No setup, no credentials, nothing to install.

    Step 2

    AI analyses your answers

    The analysis runs against the patterns I use in real engagements, the same frameworks, pointed at your numbers.

    Step 3

    Keep and share the report

    A structured result you can save, re-run later, and take straight into a leadership conversation.

    Questions, answered honestly

    Run it on your own numbers

    Sign in free, answer the questions, and get a personalised result you can keep, re-run and share. It takes minutes, and it is the same framework I use in paid engagements.

    30-minute call, no obligation. If it isn't the right fit, I'll say so.

    Prefer a human? The full version of this analysis is part of the fixed-fee audit.

    If the number clears the room, the next step is the audit that turns it into a plan. My fixed-fee diagnosis. Want help interpreting your result? .