AI ROI
An AI business case is only useful if it survives contact with a finance director. That means an explicit baseline, a value range rather than a single number, and a cost model that includes the parts vendors leave out.
Updated 3 September 2026
This hub covers the arithmetic and the discipline: how value is created, what implementation actually costs, how to express uncertainty, and how to measure realized value after go-live.
A complete method for calculating AI ROI: value drivers, the full cost model, a worked example, payback period and the measurement discipline that keeps the number honest.
Calculate AI ROI as (annual gross value − annual running cost) ÷ total first-year investment, where gross value is built bottom-up from volume × handling time ×…
A section-by-section AI business case structure: problem baseline, proposed change, value range, cost model, risk, governance, measurement plan and decision request.
A strong AI business case is eight sections long: the quantified problem baseline, the specific workflow change proposed, the value range with confidence, the f…
The real cost structure of an AI implementation — build, integration, evaluation, change management, inference, human review and maintenance — and how each line behaves over time.
AI implementation cost has two shapes: a one-off build cost covering discovery, data access, integration, evaluation and change management, and a recurring run …
Merjora builds the baseline, the value range and the confidence level for each opportunity so the business case starts from evidence.
Quantify your AI opportunitiesEditorial standard. Merjora publishes analysis, frameworks and publicly documented examples. We do not publish invented statistics, unattributed benchmarks or unverified customer stories.