ROI & Value Reporting
Ongoing measurement of what your AI portfolio is actually delivering.
What you get
Numbers leadership can act on.
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Monthly AI value dashboard
Consolidated measurement of business outcomes delivered by each AI system in the portfolio, in terms of revenue, cost, risk, or time saved.
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KPI tracking against business case
Monthly comparison of actual performance against the metrics committed to in each initiative's original business case, with variance explained.
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Board reporting pack
A quarterly summary of AI portfolio performance, investment efficiency, and forward-looking commitments, in the format boards use to make funding decisions.
Who it's for
The investment results owner.
Accountable for AI portfolio performance. Needs a regular, credible measurement cycle rather than ad-hoc reporting when results are questioned.
Controlling the AI budget. Needs to know, every month, whether AI investment is delivering against its financial commitments.
Answerable to the board for AI outcomes. Needs a reporting format that connects AI spend to business results in terms the board recognises.
What comes next
Measure, diagnose, build.
Portfolio AI Roadmap
→The plan that Value Reporting measures against. Define it before starting the reporting cycle.
Process Audit
→When reported metrics show underperformance, Process Audit diagnoses the cause.
AI CoE Design
→Build the internal capability to own and sustain the measurement cycle independently.
Ready to measure what your AI portfolio is actually delivering?
Every engagement starts with a short conversation. No commitment, just specifics.
Let's talk →