When I speak with finance leaders, I often start with a simple question: Is the speed of decision-making in your company adequate?
The answer is usually visible before anyone says a word.
A few hesitant hands might go up, but most people remain still. The reaction is remarkably consistent across organizations, industries, and company sizes. It reveals a challenge that many of us recognize but struggle to solve.
Despite having more information, better analytics, and increasingly sophisticated tools, organizations are not necessarily making decisions any faster.
Over the last twenty years, I have watched the finance function evolve dramatically. We have moved far beyond the days when finance teams were primarily focused on reporting results after the fact.
Today, finance is expected to provide strategic insight, partner closely with the business, and help shape the future direction of the organization.
We often talk about finance earning a seat at the table. In many organizations, that has happened. Finance teams have access to more data than ever before.
We have stronger analytical capabilities, better visualization tools, and increasingly sophisticated forecasting models.
Yet something isn't working.
Better data is not automatically translating into better or faster decisions. In many cases, the opposite is happening.
Organizations are producing more analysis, generating more scenarios, and introducing more perspectives into discussions, only to find themselves trapped in endless cycles of debate and review.
The result is what I think of as a breakdown between insight and action.
Richard King
The growing problem of decision debt
One of the concepts I often discuss is what I call "decision debt."
Organizations spend enormous amounts of time creating analyses, evaluating scenarios, and examining options from every possible angle.
While thoughtful analysis is important, there comes a point where additional information stops creating clarity and starts creating delay.
The longer we postpone a decision, the greater the cost becomes.
If a project launch is delayed because stakeholders continue requesting more analysis, there is a cost.
If an underperforming initiative continues because no one is willing to make the call to stop it, there is a cost.
If leaders spend weeks revisiting the same questions instead of moving forward, there is a cost.
Time is money.
Every week spent circling around a decision rather than making it translates into real financial consequences. Resources remain tied up. Investments remain uncertain. Opportunities are missed.
Over time, those delays accumulate into decision debt.
As I have observed this pattern across multiple organizations throughout my career, I have become convinced that the problem is rarely about the quality of the people involved. It is rarely about a lack of data.
Geeta Malhotra
More often, it comes down to how organizations are structured to make decisions in the first place.
What matters is whether a company has created what I think of as a decision operating system.
The question is not simply whether you have smart people or good analytics. The question is whether your governance structures, forums, incentives, and operating rhythms are designed to enable decisions rather than delay them.
Three common breakdown points
When I examine organizations struggling with slow decision-making, I consistently see three recurring issues.
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The first is misaligned incentives.
Most organizations are structured around divisions, business units, functions, or teams. Every group has its own goals, scorecards, and measures of success. On paper, that seems reasonable. In practice, it often creates friction.
Consider a situation where procurement is measured on reducing vendor spend.
The procurement team identifies opportunities to consolidate software vendors and eliminate redundant tools. From their perspective, the initiative makes perfect sense.
Then they approach their technology partners.
The technology organization may be measured primarily on speed of delivery. Their priority is maintaining continuity and avoiding disruptions. As a result, they may resist changing tools even if consolidation would create financial benefits.
Both groups are acting rationally based on their incentives. The problem is that they are not working toward the same objective.
This dynamic plays out repeatedly across organizations. Marketing, technology, operations, finance, and business teams can all find themselves pursuing goals that unintentionally conflict with one another.
When that happens, decisions stall because nobody is aligned around a common outcome.
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