Here's an uncomfortable truth about lab automation:
Most labs will never look like industrial workcells.
And that's okay.
The Reality of Lab Environments
Real laboratories operate around:
- People with varying schedules and expertise
- Shared instruments with competing priorities
- Evolving protocols that change faster than systems can be reconfigured
- Space constraints that make "ideal layouts" impossible
- Budget limitations that rule out full automation
Forcing workflows into rigid workcell models often increases operational risk rather than reducing it.
The Root Problem Isn't Manual Work
The real bottleneck in most labs isn't that people are doing things by hand.
It's fragmentation:
- Disconnected instruments that don't talk to each other
- Manual file transfers between systems
- Documentation gaps that create compliance headaches
- Inconsistent process execution across teams and shifts
Fix the fragmentation, and you solve most of the pain—without requiring a complete lab redesign.
How Lab Donkey STEPS Approaches This
We built STEPS to create one execution layer across people, instruments, and data.
Instead of asking operators to learn multiple interfaces, remember different procedures, and manually track everything:
- The system guides them through each step
- Complexity is abstracted away from users
- Consistency is maintained automatically
- Data flows without manual intervention
Execution Over Documentation
Most labs have SOPs. Binders full of them.
The problem isn't documentation—it's execution.
Converting static SOPs into executable digital processes means:
- Centralized updates — Change once, deploy everywhere, no retraining
- Consistency through automation — The system enforces the process, not memory
- Built-in traceability — Every step is logged automatically for regulated environments
The Right Sequence
Here's what we recommend:
- First, establish execution consistency and visibility
- Then, identify true bottlenecks with real data
- Finally, introduce robotics where it actually makes sense
This way, automation becomes substitution rather than transformation.
You're replacing manual steps with automated ones—not asking your entire lab to reorganize around new technology.
The Bottom Line
Stop designing automation for the lab you wish you had.
Start building for the lab you actually have.