AI Business Case & ROI Modeling
Prove the numbers before you invest.
What is AI Business Case & ROI Modeling?
AI budgets get rejected far more often for a weak business case than for weak technology. Leadership doesn't just want to hear that AI is transformative — they want to know what it will cost, what it will return, how confident you are, and how you'll prove it afterwards. We build a rigorous, finance-grade business case and ROI model for your proposed AI initiative: quantified benefits, honest total cost of ownership, a risk view with sensitivity ranges, and a benefits-realisation plan tied to real KPIs. The result is a case that survives CFO scrutiny and a model you keep using to track value after go-live.
Services provided
What the data says
AI proposals fail at budget far more often for weak business cases than weak technology.
Funded initiatives quantify both hard savings and risk, with honest sensitivity ranges — not single hero numbers.
Most cases understate cost by ignoring change and run — which is exactly where finance pushes back.
Tracking benefits after go-live is what earns budget for the next initiative.
Where Ganexa stands out
Finance-grade modelling, not a vendor's ROI calculator.
We include the change and run costs most cases conveniently omit.
Every assumption is explicit and defensible — built to survive CFO scrutiny.
Sensitivity ranges, so leadership funds with eyes open, not on a single optimistic number.
We wire in benefits tracking so the case keeps proving itself after launch.
Your engagement roadmap
Discover
1–2 weeksDefine the initiative, benefit hypotheses, cost drivers and the decision it must support.
Value hypothesis
Design
2–3 weeksBuild the ROI/NPV model with TCO and best/base/worst sensitivity ranges.
ROI model
Build & pilot
3–6 weeksPressure-test with finance and stakeholders; refine assumptions and risks.
Validated business case
Scale & embed
OngoingStand up benefits-realisation KPI tracking for post go-live.
Investment recommendation
Built for where you are
Retail group
“Our AI proposals keep dying at the budget committee. Great ideas, but finance says 'show me the numbers' and we can't.”
We turned the proposal into a quantified case: modelled savings and revenue upside, full TCO, a risk register, and best/base/worst sensitivity — in the format their committee expects.
A defensible case with a ~14-month payback that secured funding on the first pass.
Logistics operator
“We have five competing AI ideas and no rational way to choose which to fund.”
We scored each initiative in a comparable ROI model and presented a portfolio view ranked by return and risk.
A clear, evidence-based decision — the two highest-return initiatives funded, the rest parked with reasons.
Healthcare provider
“Leadership is nervous about AI spend after a past project overran with nothing to show.”
We built a conservative, sensitivity-ranged case with explicit assumptions and a benefits-tracking plan, so leadership could see the downside as clearly as the upside.
Confidence to proceed on a bounded, measurable initiative — with tracking that reported value as it landed.
What you walk away with
ROI / NPV model
A working financial model with explicit assumptions and best/base/worst sensitivity analysis.
Total cost of ownership breakdown
Full build, run and change costs — including the ongoing costs most cases miss.
Risk register & mitigations
The key delivery, adoption and value risks, each with a mitigation and owner.
Benefits-realisation framework
The KPIs, baselines and tracking method to prove value after go-live.
Investment recommendation deck
A concise, board-ready recommendation with the funding case and next steps.
Ready to put AI Business Case & ROI Modeling to work?
Book a free 30-minute discovery call — you'll leave with a clear, costed next step, no obligation. Or ask us anything: we reply within one business day.