My role is to recommend the best technology based on your unique challenges. I can’t just ask an A.I. friend on this one. So that’s why I needed to build an easily repeatable model for computing return on investment for any technology you are considering to adopt.
Finance and accounting leaders are expected to defend tech investments with “hard numbers” that, if I’m being honest, do not always survive a real stress test. So what happens? We crank out a crazy ROI model late at night. We bake in assumptions that live only in our heads. We polish the deck, but the math underneath is too qualitative. It lacks evidence and hard numbers.
Then someone in leadership asks the question that haunts every spreadsheet:
“How did you arrive at this?”
You need a model like this to help you explain your reasoning because it relies on assumptions that you need you get your team to agree on.
I have worked with CFOs, controllers, and finance leaders across industries who are expected to validate technology ROI without a clear framework for how those numbers should actually be built. The result is frustration. Finance feels boxed into defending assumptions they did not fully trust, and executives struggle to compare competing initiatives.
The good news is this. There is a better, more disciplined way to build a technology ROI business case, one that finance teams can stand behind.
Why Technology ROI Is Harder Than It Should Be
Technology ROI is not difficult because finance teams lack skill. It is difficult because the inputs are messy.
Consider what typically happens:
- Benefits are described broadly but measured loosely
- Cost models ignore timing, dependencies, or ongoing effort
- Assumptions live in someone’s head instead of being documented
- Scenarios are not comparable because each one is modeled differently
I have reviewed many ROI analyses where the math technically worked, but the structure did not. Without guardrails, two people can model the same project and arrive at wildly different outcomes, both believing they are right.
That is not a finance problem. That is a framework problem.
What a Strong Technology ROI Business Case Actually Requires
A credible ROI analysis is not about producing the most optimistic number. It is about creating a model that is transparent, repeatable, and defensible.
At a minimum, finance teams need to be able to:
- Define the decision being made
- Establish a clear baseline, what happens if we do nothing
- Separate value drivers from assumptions
- Quantify benefits conservatively and consistently
- Understand the timing of cash flows
- Stress test the model before leadership does
If that sounds more structured than what you are used to, that is intentional. ROI should feel more like capital budgeting and less like storytelling.
How Finance Teams Should Approach Technology ROI
Over time, I have seen a few principles consistently lead to better outcomes.
Start with the decision, not the tool
ROI should exist to support a decision. Approve, delay, prioritize, or decline. If the decision is not clear, the model will not be either.
Make assumptions explicit
If an assumption matters enough to move the result, it should be documented. Hidden assumptions are where ROI models break down.
Separate drivers from outcomes
Drivers, such as hours saved, error reduction, or cycle time improvements, should be modeled independently from financial outcomes. This makes the analysis easier to validate.
Model scenarios, not just one answer
Leadership does not need a single number. They need to understand upside, downside, and sensitivity.
Design it so someone else can challenge it
If the model cannot survive healthy skepticism, it will not survive an executive meeting.
Explore the Technology ROI Framework and Calculator
To support more disciplined ROI analysis, we built a public, finance led resource designed specifically for technology business cases.
If you are currently evaluating a system, building an ROI model, or being asked to validate assumptions, you can explore the full framework here:
Explore the Technology ROI Framework and Calculator
https://roi.mycampbellandco.com/
This resource includes:
- A step by step ROI framework grounded in finance best practices
- A transparent ROI calculator to model value drivers and compare scenarios
- A methodology section outlining assumptions, inclusions, and exclusions
- Source references to support credible, defensible analysis
The intent is not to sell software. It is to give finance teams a common language and structure for evaluating technology investments with confidence.
Guardrails Matter More Than Precision
One of the biggest misconceptions about ROI is that it needs to be precise. It does not.
What it needs to be is directionally sound, consistent, and explainable.
I would much rather see a conservative model with clear assumptions than an aggressive one no one can explain. When finance leads with structure instead of optimism, trust improves and decisions get easier.
This becomes especially important when organizations are evaluating multiple initiatives at once. Without a common framework, ROI comparisons become apples to oranges very quickly.
Final Thoughts
Technology investments are not slowing down. Finance teams will continue to be asked to validate, prioritize, and defend them.
The organizations that do this well are not the ones with the flashiest ROI slides. They are the ones with:
- Clear decision criteria
- Documented assumptions
- Repeatable frameworks
- Finance teams positioned as strategic partners
That is the standard we should be holding ROI analysis to.
If you are rethinking how your organization approaches technology ROI, or want a more disciplined way to support those decisions, the framework is available for you to explore and use.
And if you would like help applying it to a real business case, we are always happy to have that conversation.
Randy Kardas, CPA, CITP, CGMA, MBA
Campbell Technology Advisors | Partner
