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How to Streamline Lab Management as Your Lab Scales | ZAGENO

Written by ZAGENO | February 5, 2026

As labs grow, complexity rarely arrives all at once. Instead, it creeps in as new software tools are added, suppliers multiply, purchase approvals take longer, and responsibilities fragment across teams and sites. What once felt manageable can quickly become overwhelming.

Streamlining lab management is about preventing breakdowns between systems, teams, and workflows as labs grow. Today, synergy depends on clarifying how existing systems work together across science, operations, and finance.

This guide explores how modern labs scale without slowing research and identifies changes that actually make a measurable difference.

What “streamlining lab management” means today

Streamlining does not mean ripping out core scientific systems or forcing rigid workflows onto research teams. Instead, it focuses on coordination and clarity.

Streamlined lab management is less about removing tools and more about clearly defining system roles and minimizing unnecessary handoffs.

In practice, this looks like:

  • Clear separation between scientific systems and operational systems
  • Fewer manual steps between experiments, ordering, and approvals
  • Better visibility into inventory, usage, and spend
  • Integrated tools that talk to one another rather than operating in isolation

Key shift: As labs scale, the goal shifts from “managing tasks” to “managing coordination.”

Where lab management typically breaks down

Most labs encounter problems in the same places as they scale.


The root cause: These types of lab management challenges are rarely caused by a single tool. They emerge from gaps between systems.

As organizations grow, complexity often stems from how work flows across teams rather than from the tools themselves, a pattern highlighted in research published by McKinsey & Company.

Why adding “one more tool” rarely fixes the problem

A common response to growing complexity is adding yet another standalone tool designed to address a narrow problem. While well-intentioned, this often increases fragmentation.

More tools can mean:

  • Duplicate data entry
  • Conflicting sources of truth
  • Additional training and change management
  • More manual reconciliation behind the scenes

Streamlining lab management is not about tool count. It is about defining clear roles for each system and ensuring information flows cleanly between them.

How high-performing labs actually streamline management

Labs that scale successfully tend to follow four consistent principles.

The role of procurement platforms

As labs grow, procurement becomes a pillar of lab management. Rather than replacing scientific software, procurement platforms sit alongside it to centralize:

  • Supplier sourcing and spend visibility.
  • Automated ordering and approvals.
  • Integration with finance systems (ERP).

Platforms like ZAGENO help labs centralize how supplies are sourced and purchased across suppliers while integrating with existing lab and finance systems. This keeps scientists focused on the bench, not on paperwork.

For teams looking to go deeper into purchasing workflows specifically, this often leads naturally into a more focused discussion on how to streamline lab procurement.

Checklist: How streamlined is your lab?

Lab managers can use this checklist to identify where breakdowns may be hiding:

  • Do scientists know exactly where and how to order supplies?
  • Are approvals automated or manually chased?
  • Can teams see inventory and orders in a single view?
  • Is spend visible before invoices arrive?
  • Do lab, operations, and finance systems share data cleanly?

Many of these challenges surface first around budgeting and visibility, which is why labs increasingly treat spend management in R&D as a core part of lab operations.