Why Adding More Systems and Detailed Processes Keeps Reducing Efficiency

IT Entropy and Efficiency Decline

The article argues that many enterprises fall into a classic "addition trap": they translate control anxiety into more system nodes and longer approval chains, turning tools into obstacles. This phenomenon, called IT entropy (also known as "process obesity" or "digital bureaucracy"), occurs when digitalization is driven by control rather than capability.

Five Pain Points

Data silos everywhere : Departments independently select systems (CRM, MES, ERP, OA) without a unified plan, creating isolated data islands that force frontline staff to become data movers.

Defensive approval overload : Each additional approval node reduces business turnaround time by 17‑19 %; five‑level approvals take 4.2 × longer than two‑level ones.

Departmental walls become digital barriers : Cross‑department project cycles lengthen by 30‑50 % and delay probability rises by 34 %.

Process bloat ("digital geological layer") : Problems trigger new processes, but once risks disappear no one removes the old steps, leading to ever‑growing, ineffective workflows.

System lock‑down of human initiative : 46 % of frontline work time is spent on approvals, data entry, and archiving, causing talent loss and reduced innovation.

Evidence and Case Studies

A mid‑size equipment manufacturer (annual revenue ≈ ¥8 billion) required sales staff to copy contract data from CRM to MES, then re‑enter production results into ERP, and finally sync inventory to finance. Two accountants spent seven days each month reconciling data across three systems, while over 30 % of employee time was spent on data搬运.

IDC2026 research shows that 62 % of large Chinese firms operate 17 independent business systems on average, with 100 % manual hand‑over; each new isolated system raises annual IT‑operation cost by 25 %.

A provincial construction group’s procurement process grew from a single‑sign‑off for purchases under ¥50 k to a five‑level chain (demand, budget, risk, finance, final sign‑off). Approvals now take at least two workdays, and 70 % of the steps are perceived as formalities.

Root Cause: Control‑Centric Digitalization

Digital tools are meant to break information barriers, yet enterprises cement existing silos by digitizing every manual step without simplification. Management’s fear of the 1 % extreme risk leads to risk‑averse, layer‑by‑layer controls that penalize the remaining 99 % of routine work.

Actionable Governance Roadmap

1. Demand gating : All new systems, processes, fields, or approval nodes must be submitted with a Demand Review Form that records scenario, scope, risk alternatives, expected efficiency gain, and redundant items to be eliminated. Unreviewed requests are rejected.

2. "One‑plus‑one‑minus" rule : For every new workflow or feature, the business must identify and retire one existing redundant step, preventing endless accumulation.

3. Risk‑based control layers : Classify work into low, medium, and high risk. Low‑risk tasks (e.g., routine reimbursements) receive streamlined, self‑approved flows; high‑risk tasks retain multi‑level checks.

4. Stop blind system addition : Freeze non‑essential new system purchases; instead, integrate existing assets via lightweight APIs and a data‑middle‑platform to eliminate silos.

5. Deploy RPA bots : Automate high‑frequency copy‑paste, reconciliation, and reporting tasks with lightweight RPA, achieving 24/7 operation and 100 % replacement of manual data搬运.

6. Unified data standards : IT defines enterprise‑wide data definitions for customers, orders, inventory, and finance, removing duplicate tables and mismatched formats.

7. Efficiency dashboard : Publish company‑wide process metrics (approval time, node rejection rate, manual entry error rate, cross‑system labor loss) to make bottlenecks visible and prove that inefficiency stems from process bloat, not system quality.

8. Monthly digital‑governance report : Report new vs. removed processes, automation‑generated labor savings, data‑quality improvements, and identified low‑efficiency pain points to senior management, reinforcing IT’s value and prompting continuous cleanup.

By shifting from a control‑first mindset to a capability‑first approach—using data, rules, and measurable outcomes—IT can stop being the scapegoat and become the driver of genuine digital empowerment.