Auditing for Decision Velocity
A few weeks ago we published a blog titled, “Decision Velocity: Driving Organizational Success Through Automation” in which we explored the value of speed of decision execution and how automation can add tremendous value to an organization’s agility.
Conceptually this idea stems from year’s of customer experience and analysts insights, but anyone in a large organization knows about the importance of decision velocity intrinsically. Business agility is very often something mentioned as a core value or goal, but being able to measure agility has always been challenging at best, impossible at worst.
In light of additional criticisms around decision automation — removing people from the tactical implementation — we have decided to spend quite a bit more time looking into decision velocity, what it means, how it works, and why no one should fear it. Quite the opposite, we will show how to achieve faster time to responsiveness and why, if not automated, many organizations will be left behind in competitiveness.
Not All Decisions Are Equal
In a guest blog “The Decision Making Continuum: Will Decision Intelligence Unite Automation and Human Judgment?”,
DecideWise member Carl Spetzler explored the continuum of decisions: from strategic, to operational, to tactical. We only revisit this discussion to amplify that the first step in understanding decision velocity is to understand and articulate what kind of decision you’re actually making. Automation, in particular, requires a distinct amount of replicability and largely applies to the tactical decisions in an organization. While decision support and business intelligence are critical deliverables in any decision making process, their application to strategic decisions in particular, represents decision support for executives to help them in largely strategic decision making processes. Strategic questions are not easy or practical to automate. So don’t try.
On the other end of the spectrum, tactical decisions — customer offers, engagements, service offerings, contracts, marketing, etc. — all lend themselves to repeatable business processes. Each have a measurable impact on business profitability and each requires unique subject matter expertise with, often, tens or hundreds of variables. These can and should be automated and managed through monitoring, measurement, and simulation.
Defining Latency
Decision Velocity measures how quickly and effectively an organization can move from recognizing a piece of information to executing a decision based on that insight. In simple terms, it measures your team’s ability to stop waiting and start acting. Traditional decision-making is often plagued by decision latency—the frustrating delay caused by manual data gathering, endless back-and-forth emails, and multi-layered approval chains. When latency is high, critical choices sit idle in administrative traffic jams, burning valuable resources and causing the business to miss market opportunities.
Increasing decision velocity isn't just about making fast, reckless choices; it is about combining speed and quality at scale. Real decision velocity occurs when an organization automates routine, predictable choices—like scoring leads, approving standard requests, or reordering inventory—using clear business rules and connected data. By offloading these high-frequency, low-risk decisions to automated workflows, teams eliminate bottlenecks and drastically reduce cycle times. This frees up human leaders to focus their time and energy on high-stakes, strategic decisions without sacrificing precision or consistency across the enterprise.
The Hidden Cost of Latency
Decision latency is a silent tax on company growth, quietly draining resources long before a single dollar is formally spent. Every day a decision stalls in an approval queue, employees are forced into a state of unproductive waiting—holding projects in limbo, sitting in status meetings, and re-analyzing data they’ve already reviewed. This friction doesn't just waste billable hours; it actively degrades work quality. When teams spend more time navigating internal bureaucracy than executing solutions, context is lost, details fade, and energy shifts from driving progress to managing process.
Beyond the immediate loss of time and money, latency inflicts severe damage on organizational momentum and market position. In fast-moving industries, a delayed choice is often functionally identical to a wrong choice; by the time an approval finally clears, market conditions have shifted, competitors have captured the opportunity, or customer interest has cooled. This constant drag creates a culture of hesitancy where high-performing employees grow disengaged and risk-averse. Over time, the true cost of decision latency isn't just the burnt budget—it's the compounding loss of competitive edge and the erosion of a team's drive to win.
Signs of Decision Lag
In a world that rewards agility and speed, there are many costs to slow decision making. However, identifying if your organization is suffering is a bit more difficult. Being part of an organization often means you miss the signs or you don’t even know any better. Here are three signs that you may indeed be in an organization that can benefit from a Decision Latency audit and assessment:
The "Meeting About the Meeting" Loop (Endless Re-Analysis): Teams repeatedly convene to review the same data, request additional reports, or re-hash previous discussions without reaching a definitive choice. When meetings end in action items to "gather more information" rather than clear execution steps, your culture has shifted from decisive action to risk aversion.
Severe Operational Staging and Backlogs: Work constantly sits in "Pending Approval" or "Awaiting Sign-Off" status across your project management tools and communication channels. Frontline employees are actively blocked from completing routine tasks because low-risk, predictable actions are trapped in hierarchical administrative traffic jams.
Post-Approval Obsolescence (Decisions Outpaced by Reality): By the time a proposal or project gets final approval, the initial problem has changed, market conditions have shifted, or the competitive advantage has vanished. If your team frequently finds that approved plans require immediate re-evaluation because too much time elapsed during sign-off, decision latency is actively eroding your strategy.
These are just three examples, perhaps even low-hanging examples, of decision latency in an organization. Don’t limit yourself to these three. Think like a customer: what would make you happier about your connection to your business? How should your business respond to changing conditions or customer interactions? If there is a delay in responsiveness, work backwards to identify the delays or gaps in your business processes.
Identifying vs. Solving Decision Latency Issues
Upon determining that a decision process is replicable and can be automated and automation accomplished through the direct application of analytics, AI, optimization solutions, or other application development, understanding if the solution provides any agility or speed value is an often missed metric.
In order to find where decisions spend the most time waiting for approvals or variable inputs, business should implement careful latency audits — track the time elapsed from data arrival to final execution. The steps are often outlined via rules flows and should make it easy to identify time to deliver on each step.
Remember that identifying challenges, gaps, or issues is only half the battle. Understanding what the problems are is the first step, but it may not be the most difficult step in this process. Next week we’ll look into categorizing, prioritizing, and triaging latency issues.
In the coming weeks we’ll return to Decision Velocity and explore the categorization of velocity by decision spectrum (when to automate and when to maintain data supported human decisions). We’ll also look at business logic definition to eliminate ambiguity, deploying automation workflows, and measuring, refining and scaling decisions for optimal performance.