FINANCIALSCALER · PLANNED TOOLKIT
Build a business case that stands up to scrutiny.
Turn cloud, modernization and AI investment proposals into structured financial business cases—with transparent assumptions, defensible benefits and clear decision criteria.
The Cloud & AI Investment Case Builder is a planned finance toolkit designed to help you structure the analysis, challenge assumptions and present the financial case for investment.
Help shape the toolkit around the investment decisions you actually need to make.
THE BUSINESS CASE
From investment idea to financial decision
01 Investment costs
02 Quantified benefits
03 Scenarios and sensitivities
04 Financial outcomes and risks
Proposed structure · Initial concept
The challenge: promising technology, uncertain economics
Cloud migrations, platform modernization and AI initiatives often promise lower costs, greater productivity or new revenue. But translating those promises into a credible financial case is difficult.
Before an investment is approved, finance teams need to answer difficult questions:
- What will the initiative actually cost — not just to implement, but to operate?
- Which benefits are financially measurable, and when will they materialize?
- Are the projected savings incremental, or are they already included in the baseline?
- What happens if adoption is slower, implementation costs increase or benefits fall short?
- Does the investment create enough value to justify the risk?
Spreadsheets and vendor business cases can provide individual pieces of the answer. The challenge is bringing them together into a consistent, auditable decision model.
What the toolkit is designed to help you do
A repeatable financial framework — from the first assumptions to a decision-ready business case.
1. Structure the economics
Bring implementation costs, ongoing operating costs, financial benefits and timing assumptions into one coherent framework.
2. Separate assumptions from evidence
Make the logic behind each benefit visible. Distinguish validated inputs from estimates that still need to be challenged.
3. Quantify the outcome
Evaluate the investment using relevant measures such as NPV, payback period, ROI and scenario analysis, where appropriate.
4. Challenge the business case
Test what happens when costs, adoption, productivity gains or expected savings differ from the original assumptions.
5. Communicate the decision
Create a structured output that helps finance leaders, business owners and investment committees understand the economics, key risks and decision points.
Two investment use cases
One underlying financial framework, with distinct assumptions and benefit drivers for each investment type.
USE CASE · CLOUD
Cloud migration & modernization
Evaluate migration costs, dual-running periods, infrastructure changes, operating-model impacts and expected savings. Understand when the investment pays back—and which assumptions drive the result.
Key drivers to assess
- Migration and transformation costs
- Run-rate cost changes and dual running
- Operating-model impacts
- Timing and sustainability of savings
USE CASE · AI
AI adoption & automation
Assess implementation and recurring costs alongside realistic adoption, capacity released, potential cost avoidance and incremental revenue. Distinguish theoretical productivity gains from benefits that can actually be realized financially.
Key drivers to assess
- Implementation and recurring AI costs
- Adoption and utilization rates
- Capacity released versus cash savings
- Benefit realization and revenue impact
What is planned
The initial format and feature set will be shaped by early user feedback. The proposed toolkit includes:
- A structured financial model and assumption framework
- Guidance for defining and quantifying costs and benefits
- Scenario and sensitivity analysis
- Checks for common business-case weaknesses
- An executive-ready summary of results, assumptions and risks
- Practical guidance for adapting the framework to your initiative
This is a planned toolkit, not a finished product. The scope may change as the concept is validated.
Who it is for
The toolkit is being designed for people who need to evaluate the economics of an investment—not simply describe its technical benefits.
- FP&A and business finance professionals
- Finance business partners supporting technology investment decisions
- Cloud and IT leaders preparing investment proposals
- AI transformation and automation leads working with finance
- Consultants and analysts who need a repeatable financial modelling framework
HELP SHAPE THE FIRST VERSION
Which investment decision is hardest to quantify?
I’m exploring which investment decisions create the greatest challenge for finance teams: cloud migration, modernization, AI adoption or automation.
Join the early-access list to share your use case and receive updates as the toolkit takes shape.
No finished product is being offered yet. Early access is an opportunity to provide input and hear about future versions.
Frequently asked questions
Is the toolkit available now?
Not yet. The product is in the validation stage. The first version will be shaped by feedback from finance and technology professionals.
Will it work for both cloud and AI investments?
The proposed framework covers both, with distinct assumptions and benefit drivers for each use case. Early feedback will help determine which use case should be prioritized.
Will it replace our existing financial models?
The intention is to provide a repeatable structure for building and challenging business cases. It is not intended to replace every organization’s internal models, approval processes or financial systems.
What happens after I register?
You may be contacted to clarify your use case and, if the concept progresses, receive updates about the initial release.