Search for laboratory workflow management software, and you get four different products wearing the same name. A LIMS vendor shows you sample management. An ELN vendor shows you experiment tracking. A work-management vendor shows you a configurable task board. A lab operations platform shows you service requests and scheduling. Each one calls itself lab workflow management software, and each one manages a different part of the lab.
That is why the category is hard to buy. A team that does not separate these ends up with a tool built for someone else’s problem: an ELN that cannot route a repair request, or a LIMS that takes a year to configure and still leaves booking on a spreadsheet.
This guide separates the approaches. It explains what each one actually manages, which lab each one fits, and how to work out which layer of your lab you need to manage before you shortlist anything. It is written for R&D teams, not clinical or diagnostic labs, which run their own software. It covers the step most guides skip: choosing the right kind of software before you rank tools or try to fix a process that is already broken.
Lab workflow management software structures, routes, tracks, and automates how work moves through a lab: the requests, tasks, approvals, handoffs, and scheduling a process runs on. It manages how work moves, which is different from a LIMS or an ELN, which manage scientific data and experiments.
What laboratory workflow management software actually does
A lab workflow is a sequence of steps that gets something done: a reagent ordered and approved, a sample logged and assigned, an instrument booked and serviced, a result reviewed and signed off. Lab workflow management software takes those steps out of email and spreadsheets and puts them in a system that structures the process, routes each step to the right person, tracks status, automates the handoffs, and reports on what happened.
The word “workflow” hides an important split. Some workflows are scientific: designing an experiment, capturing data, tracking a sample through an assay. Others are operational: requesting a service, booking equipment, scheduling maintenance, coordinating across teams and sites. Both are real workflows, and most labs have both, but different kinds of software manage them.
Scientific workflows live in a LIMS or an ELN. A LIMS manages samples and the data attached to them; an ELN manages experiments and the record of the science. Operational workflows are a separate problem, and they are the ones that most often still run on email and shared calendars, even in labs that have modern scientific software. The full comparison of LIMS, ELN, and lab operations platforms is worth reading on its own; this guide covers the distinction only as far as it changes which software you should buy.
The four approaches to managing lab workflows
Vendors approach lab workflow management from four directions, depending on what their software was built to do. Knowing which direction a tool comes from tells you what it will be good at and where it will struggle.
LIMS-led
The LIMS-led approach builds workflow around samples and the data attached to them. A laboratory information management system tracks a sample from accessioning through testing to reporting, and its workflow features route that sample through each step. LabWare, STARLIMS, and LabVantage are established examples.
This approach fits labs whose work centers on samples at volume: quality control, testing, and regulated production, where every sample follows a defined path and the record has to be exact. If that describes your lab, a LIMS is the center of your operation, and its workflow depth is a real strength.
The cost shows up in two places. LIMS platforms are heavy to implement and configure, often measured in months and six figures, and their workflow model is built for samples, so the operational work around the science, a repair request, an instrument booking, a cross-team handoff, sits outside what they do well. Labs that need those usually run the LIMS for samples and something else for operations.
ELN and informatics-led
ELN-led tools organize workflow around experiments and scientific data. An electronic lab notebook, or a broader informatics platform, captures the experiment, structures the data, and coordinates the science between researchers. Benchling, Dotmatics, Labguru, and Scispot sit here, each with its own balance of notebook, data, and workflow.
These tools suit R&D science teams, especially in biology and chemistry, whose day is built on experiments. The workflow features keep experimental processes consistent and move data between the people running them, which is what a research team needs.
Where it stops is the operational layer. An ELN coordinates the experiment; it does not know that an instrument is down, that a reagent order is stuck in approval, or that two teams have booked the same microscope.
Teams that need to manage that layer run the ELN for the science and add a separate tool for operations. For a shortlist of tools that automate lab workflows across these categories, our guide to lab workflow automation tools compares the leading options.
Dedicated lab operations platform
The operations-led approach starts from the work that keeps a lab running rather than the science. It manages the requests, scheduling, maintenance, and coordination behind the experiments, and treats that operational layer as the thing worth structuring. newLab® is the example here, and it runs natively on ServiceNow.
It fits multi-site R&D that has already modernized the science but still runs operations by hand. The problem it solves is the one an ELN and a LIMS leave alone: a service request with no owner, a booking that ignores a maintenance window, an equipment list that lab, IT, and finance each keep a different version of.
By design, this kind of platform is not a scientific-data system. It does not capture experiments or store results, because it sits alongside the ELN or LIMS that already does. The full treatment of where newLab® fits is below.
General work management
The general approach uses a work-management or business-process tool that was not built for labs at all. Smartsheet, monday.com, and workflow engines like Flowwright let a team build custom workflows and automations without specialized lab software.
It works for lightweight or one-off needs, or a team that wants something familiar and cheap to start with. The flexibility is real, and you can model almost any process.
The limit is the lab context. These tools do not know what an instrument, a calibration record, or a service request is, so a team has to build and maintain every part of that by hand, and the tool gives no visibility into lab resources on its own. It works until the lab outgrows what a general tool can carry.
| Approach | What it manages | Best for | Example tools | Where it falls short |
| LIMS-led | Samples and lab data | Regulated, high-volume sample labs | LabWare, STARLIMS, LabVantage | Heavy and costly; operational coordination is secondary |
| ELN / informatics-led | Experiments and scientific data | R&D science teams | Benchling, Dotmatics, Labguru, Scispot | Operational workflows outside the science are limited |
| Dedicated operations platform | Requests, scheduling, maintenance, coordination | Multi-site R&D operations | newLab® | Not a scientific-data system, by design |
| General work management | Custom tasks and processes | Lightweight or bespoke needs | Smartsheet, monday.com, Flowwright | No lab context; everything built by hand |
How to choose lab workflow management software
The shortlist follows from a few decisions, and the first one matters more than the rest.
- Name the layer you need to manage first. Decide whether your real problem is scientific data (experiments and samples) or operational coordination (requests, scheduling, maintenance), or both. This single decision rules out whole categories and saves you from evaluating tools built for someone else’s problem.
- Check how it fits the stack you keep. Most labs are not replacing everything, so confirm the tool connects to the ELN, LIMS, instruments, and IT systems you are keeping. A workflow tool that cannot exchange data with the rest of your stack adds another silo instead of removing one.
- Look at configurability and who maintains it. Ask whether your team can build and change workflows themselves, or whether every change needs a developer or a vendor ticket. Tools that a lab cannot adjust on its own tend to drift out of use as the work changes.
- Test it at your real scale. A workflow that works for one lab often breaks across a second site, a shared instrument, or a cross-team handoff. Run a real multi-site or multi-team scenario, including access and governance, before you commit.
- Weigh adoption alongside features. The best-specified tool is worthless if scientists route around it, so judge whether the people who use it every day find it faster than the email and spreadsheet it replaces.
- Price the whole thing. Add implementation, configuration, training, and the internal time to run the tool to the license fee. If your lab operates under regulatory requirements, prioritize tools built for validated, regulated environments, which is usually where a LIMS or a dedicated QMS fits.
Where newLab® fits: the operational workflow layer
newLab® is the operational approach in this category. It manages the workflows that keep a lab running, the service requests, equipment scheduling, maintenance, and cross-team coordination, and it runs natively on ServiceNow, which lets an organization extend the enterprise workflows it already uses into the lab instead of standing up another disconnected system.
The reason it exists as a separate category is that the operational layer is the one most labs never systematized. They bought an ELN for the science and a LIMS for the samples, and left the requests, bookings, and repairs on email and shared calendars.
That is where the delays collect, and where lab workflows break down most often.
- newLab® runs lab service requests and workflows in one system, so a reagent order or a repair has an owner and a status instead of sitting in an inbox.
- It automates equipment scheduling against live equipment status, so a booking does not land on an instrument that is down for maintenance, and it ties those bookings to the asset records behind them.
- It gives lab, IT, and finance one shared view of equipment and operations, which ends the reconciliation of three different versions of the same asset list.
- It structures the operational data these workflows produce for downstream use, the groundwork for AI-ready lab infrastructure, without capturing or storing scientific data.
newLab® does not replace an ELN or a LIMS, and it does not drive instruments. A LIMS manages samples and lab data. An ELN manages experiments. newLab® manages the operational workflows around both, and the three work together. It fits enterprise and multi-site R&D whose scientific software is already in place and whose operational work is not.
How to run the selection
Once you have named the layer and drawn a shortlist, the selection itself is straightforward. Write down three to five non-negotiable requirements and be specific about them: which systems it must integrate with, which workflows it must handle, who needs to use it.
Take those into a demo and run one of your own real workflows through each tool, not the vendor’s polished example. Ask each vendor for references in your field and at your size, and ask those references what surprised them after go-live.
Then weight your requirements before you compare, so the decision rests on what matters to your lab rather than on whichever interface looked best in the room.
Choosing the right layer
The hard part of buying lab workflow management software is the decision you make before the shortlist: naming the layer you need to manage.
Decide whether the work is scientific data or operational coordination, and the category almost picks itself: a LIMS for samples, an ELN for experiments, a general tool for lightweight tasks, and a dedicated operations platform for the requests, scheduling, and maintenance that keep the lab running.
Most enterprise R&D labs have already solved the science. The operational layer is the one still on email, and it is the one newLab® was built for.
If that is the gap in your lab, book a demo, and we will run one of your own workflows through newLab® on ServiceNow, alongside the ELN and LIMS you already have.
FAQs
What is lab workflow management software?
Lab workflow management software structures, routes, tracks, and automates how work moves through a lab: requests, tasks, approvals, handoffs, and scheduling. It covers two different kinds of work, scientific workflows (experiments and samples) and operational workflows (requests, booking, maintenance), which usually call for different tools. Which one you need depends on where your lab loses the most time.
Is lab workflow management software the same as a LIMS?
No. A LIMS manages samples and the scientific data attached to them. Lab workflow management is broader and includes the operational workflows around the science, and a dedicated operations platform manages those without being a LIMS. Many labs run both.
What should I look for in lab workflow management software?
Start by naming the layer you need to manage, scientific data or operational coordination, because that rules out whole categories. Then check integration with the systems you keep, how easily your team can configure it, whether it holds up across sites and teams, and the total cost including implementation. Test each option with one of your own real workflows before deciding.
Do I need workflow management software if I already have an ELN or a LIMS?
Possibly, if the gap is operational. An ELN and a LIMS manage the science; they do not manage service requests, equipment booking, or maintenance coordination. If those still run on email and spreadsheets, a dedicated operations platform fills the gap and works alongside the tools you have.
What is the best lab operations platform?
There is no single best one, because it depends on the layer you need to manage and the systems you already run. For operational workflows across multi-site R&D, newLab® is built for that layer and runs on ServiceNow. Match any platform to the problem you actually have rather than to a feature list.
Can you manage lab workflows without coding?
Yes, with configurable or no-code tools. Some platforms let a lab build and change workflows itself, while others need a developer or a vendor for every change. The trade-off is usually that more flexibility means more setup time up front, so weigh how often your workflows will change.
Is newLab® a LIMS?
No. newLab® is a lab operations platform that manages operational workflows, service requests, equipment scheduling, and maintenance, built natively on ServiceNow. It does not capture or store scientific data, so it works alongside your ELN or LIMS rather than replacing either.
