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FAQ

Why you should you automate your laboratory

Learn why laboratories are automating routine tasks and repetitive workflows.
16 min read

Published 18th Jul 2026

There are several key reasons laboratories choose to automate their workflows:

• Increase throughput: Automation allows labs to process more samples in less time.
• Improve reproducibility: Standardised processes reduce variability between runs.
• Reduce human error: Automated systems perform tasks consistently and precisely.
• Free up skilled staff: Scientists can focus on high-value tasks instead of repetitive work.
• Enhance efficiency: Workflows become more streamlined and scalable as demand increases.

In many cases, automation is not about replacing people, but enabling them to work more effectively.

How does lab automation improve productivity?

Automation improves productivity by removing time-consuming manual steps from workflows.

For example:

• Tasks can run continuously, including overnight or unattended
• Multiple samples can be processed simultaneously
• Bottlenecks caused by manual handling are reduced

This is often seen in workflows like:

• High-throughput formulation labs
• Coatings and materials testing setups
• Battery or energy materials workflows

Does automation improve data quality?

Yes. One of the main advantages of lab automation is more consistent and reliable data.

Manual processes naturally introduce variability, even small differences in technique can affect results. Automated systems follow the same programmed steps every time, improving repeatability and reducing errors.

Automation also enables:

• Better traceability
• Structured data capture
• Integration with LIMS and software platforms

Is lab automation cost-effective?

While automation often requires an upfront investment, it can deliver long-term cost savings.

Common areas where labs see ROI include:

• Reduced labour costs for repetitive tasks
• Fewer errors and less rework
• Lower reagent and material waste
• Improved utilisation of equipment

In many cases, the question becomes less about cost and more about what manual inefficiencies are already costing the lab.

Many labs choose a phased approach, starting with one automated step (e.g. sample prep or dosing) and expanding over time as ROI is proven.

Can lab automation improve safety?

Automation can improve safety by reducing manual handling of hazardous materials or repetitive physical tasks.

This is especially relevant in:

• Chemical handling workflows
• Powder dosing environments
• High-temperature or enclosed processes

Custom automation systems can be designed specifically around safety constraints, including enclosure design, interlocks, and operator interaction.

Is lab automation only for large labs?

No. Automation can be implemented at any scale.

Many labs start with:

• A single automated workstation
• One high-impact pain point
• A modular system that can expand later

Automation is not all-or-nothing, it can grow alongside your lab’s needs.

When should a lab consider automation?

Modern lab automation can be highly flexible.

Rather than forcing labs to adapt to rigid systems, many solutions are designed around existing workflows, allowing for:

• Custom configurations
• Integration with existing instruments and software
• Future expansion as requirements change

This approach helps ensure automation supports your process rather than restricting it.

How flexible is lab automation?

Modern lab automation can be highly flexible.

Rather than forcing labs to adapt to rigid systems, many solutions are designed around existing workflows, allowing for:

• Custom configurations
• Integration with existing instruments and software
• Future expansion as requirements change

This approach helps ensure automation supports your process rather than restricting it.

What is the future of lab automation?

Lab automation is evolving towards more connected, data-driven environments.

As laboratories generate increasing volumes of data and demand faster results, automation will continue to play a key role in enabling scalable, efficient scientific workflows.