Why BizOps Becomes Dependent on Individuals

Introduction

The proliferation of SaaS has made data more accessible, seemingly making business operations far more transparent than before. However, in reality, many companies find themselves in a situation where decision-making grinds to a halt if the one person who can correctly interpret the numbers and understand the big picture is unavailable. At the center of this is the role known as BizOps. This article explains why BizOps has a high probability of becoming dependent on specific individuals, framing it not as a problem of skills or capability, but as a structural consequence of business IT and management judgment.

BizOps Emerged as the “Role that Connects Everything”

BizOps was born to bridge the gaps—cross-connecting siloed SaaS applications, disconnected data, and disparate KPIs—to move the business forward. It was envisioned as a role capable of looking at numbers and making judgments across departments like sales, marketing, operations, and finance.

BizOps Fills the “Unintended Gaps”

Ideally, data definitions, decision criteria, and inter-departmental connections should have been designed into IT systems and processes. However, when these are absent, someone must make ad-hoc judgments about which numbers to look at, what constitutes “correct,” and how to interpret contradictions. BizOps shoulders the role of manually filling these “unintended gaps.”

Individual Dependency is a Side Effect of Excellence

BizOps becomes dependent on individuals not because of low capability, but quite the opposite. The more talented the individual—quick to grasp context, spot numerical inconsistencies, and translate between departmental languages—the more decisions and adjustments gravitate towards them, creating a “just ask that person” situation. Individual dependency is an inevitable consequence of high capability.

BizOps Becomes the “Decision-Making Apparatus”

The role IT should have inherently taken on was to standardize decision criteria, align data meanings, and make judgments reproducible. However, because this was not designed, BizOps gradually becomes a “living decision-making apparatus” that interprets numbers, supplements context, and supports management judgment. In this state, the moment the BizOps person leaves, the speed of business decision-making plummets.

Why Isn’t It Systematized?

It’s often said that BizOps work isn’t systematized because judgments are tacit, exceptions are numerous, and there’s no single correct answer. However, this is not the reason but merely the result—the IT systems and processes were never designed with the premise of being systematized in the first place. BizOps is burdened with judgments that were never designed and data that was never integrated.

Hiring More BizOps Doesn’t Solve the Problem

When individual dependency becomes a problem, the typical response is to increase BizOps headcount or create a dedicated team. However, unless the fundamental decision-making structure changes, individual dependency merely gets distributed, leading to decreased consistency in decisions and increased confusion. The problem lies not in the number of people, but in the placement of judgment (the design within IT strategy).

What Was Missing as a Management Judgment?

The primary reason BizOps becomes dependent on individuals is that management failed to define which judgments should be embedded into structure (systems), which should be left to people, and who decides that boundary. As a result, a structure became entrenched where people shoulder the judgments, absorb the adjustments, and act as substitutes for the system. This is a core management issue related to IT investment and DX (Digital Transformation).

The Next Question to Ask

The question here should not be “Is BizOps excellent?” or “Is individual dependency bad?” The questions should be: “Why have people become the decision-making apparatus?” and “Which judgments should have been entrusted to IT from the start?” In the next article, we will examine the moment when “we have no choice for now” becomes the norm, and explore how manual optimization by BizOps creates technical debt and decision-making stagnation.