AI business cases you can check before you fund them.
Every AI proposal comes with a number. MetroMinds shows where that number comes from: the baseline, the benchmark range, and the scope, adoption and confidence factors behind it. Try it on one process of your own.
What finance needs to see
“Where does this number come from?”
Each business case in MetroMinds starts from annual volume and baseline minutes, applies a benchmark range from the Library and then corrects for scope, adoption and confidence. Every assumption is visible and can be challenged.
“Are we counting the same savings twice?”
When several use cases target the same work, their savings overlap. MetroMinds shows overlap per business capability and proposes correction weights, so the portfolio total stays defensible.
“Which of these should we fund first?”
A large business case is not the same as a good investment. The value and feasibility matrix shows what can scale now, what is a strategic bet and what should be parked.
The portfolio business case, line by line
- Low, high and organisation value.
Each accepted use case shows a range and the value for your organisation, based on your own inputs.
- One value driver per benefit.
Handling time, review time and rework are kept apart, so one saved minute is counted once.
- Portfolio total.
The sum is corrected for overlap between use cases on the same capability.
Five steps from benefit to funding decision
Follow a demo use case from its business case to the prioritisation matrix.
Five articles for finance leaders
- 11 min read
Your AI Business Cases Are Counting the Same Savings Twice
Nearly every AI use case promises time savings. When several target the same work, the totals stop adding up. Here is how to spot double counting and fix it.
- 7 min read
Why the Biggest AI Business Case Is Often the Weakest One
The use cases with the highest value are often the hardest to deliver. Library data shows why the largest AI business case deserves the most scrutiny.
- 7 min read
When Does Saved Time Actually Turn Into Money?
Half of all AI benefits are priced as saved time. Library data shows why that time rarely reaches the cost line, and how CFOs can make sure it does.
- 7 min read
Where AI Pays Off Inside the Finance Function Itself
Finance approves everyone else's AI business cases. The Library shows why its own work in tax, audit and planning is one of the easier places to start.
- 8 min read
How Banks Can Build a Credible AI Business Case for Risk and Finance
Risk teams talk about losses avoided, CFOs want a line that moves. Library data shows how banking AI benefits are priced and how to build a case both accept.
Bring one AI business case. We will show you how it holds up.
In a 30-minute session we put one of your proposals through the MetroMinds business case logic and compare it with the Library benchmarks.