The business wants to move quickly to experiment with new models, enter adjacent markets, respond to competitive pressure. Finance responds with "We need to study this further." "The ROI is not clear." "Bring this back next quarter with a full business case."
Finance believes it is being appropriately prudent. The business believes finance is the reason the organisation cannot compete.
The Risk Asymmetry
Finance is trained to identify downside risk. We are rewarded for preventing poor investments, not for enabling good ones. This creates an asymmetric approach that we can clearly articulate how something might fail, but we systematically underweight the cost of moving too slowly.
In stable markets, that conservatism is valuable. In dynamic markets, it can be damaging.
The organisations disrupting established players are running experiments, learning from them quickly, and scaling what works. They are not building five-year ROI models before acting. While a traditional finance function is perfecting its business case, a competitor has launched, learned, pivoted, and found traction.
Finance needs to recalibrate. In many situations, the risk of moving too slowly is greater than the risk of making a reversible poor bet. Not every decision requires exhaustive analysis. Directionally correct and timely often beats perfectly analysed and late.
The Planning Cycle as a Barrier
"That is a good idea, bring it to the next planning cycle" is finance language for "not now, and probably not ever."
Annual planning cycles made sense when business moved at a different pace. They are increasingly incompatible with how markets actually operate. Opportunities do not pause for budget calendars. Competitive threats do not wait for the next planning round.
Create mechanisms for off-cycle resource allocation. Maintain contingency budgets for emerging opportunities. Develop streamlined approval processes for investments below a sensible threshold. If every decision must wait for the annual process, you are optimising for procedural compliance rather than business outcomes.
Demanding Precision Where None Exists
Asking for a detailed five-year revenue forecast for a product category that does not yet have customers is generating plausible-sounding fiction.
For genuine experiments and exploratory initiatives, the right framework is different. Instead of asking teams to prove something will work before it has been tested, ask what would we need to believe for this to be worth trying, and what is the cheapest way to test those beliefs?
This shifts from requiring certainty before acting to designing learning before scaling. That is the appropriate standard for strategic experimentation.
Metrics That Do Not Fit
Finance evaluates most decisions using financial metrics such as return on investment, payback period, net present value. These work well for efficiency investments in established business activities. They work poorly for strategic exploration.
How do you calculate the NPV of understanding whether a new customer segment values your proposition? You cannot. That does not mean the question is not worth answering.
Broaden the evaluation framework. For exploration and strategic option-creation, the right measures might include cost of learning, speed of feedback, reversibility of the commitment, and option value created. Not every investment requires a positive NPV to be worthwhile.
The Finance Role
The difference between finance as a strategic bottleneck and finance as a strategic enabler comes down to a few things: whether you are optimising for preventing bad investments or enabling good strategy; whether your processes are proportionate to the risk involved; whether you demand precision appropriate to the level of uncertainty; whether your time horizons are consistent with stated strategic ambitions; and whether you see your role as governing the business or partnering with it.