Moving from big name RPA vendors to open source

[vutid.50]

Our team (not me personally though) has been deep in the RPA game for a few years, mostly with the usual big commercial platforms. They've worked, but the licensing costs and vendor lock in are starting to outweigh the convenience. We're now exploring open source RPA options to see if we can get more flexibility and cut costs without sacrificing enough reliability.

The shift isn't just about budget mind you, we also want more control over customization and integration. With the vendor tools, we often hit a wall when we need to modify behavior outside the so called approved feature set. Open source seems like it could give us that freedom, but I'm aware it can also mean a steeper learning curve and more responsibility for maintenance.

Anyone has some experience here, what'd you all think

 

[JCode001]

The shift from a commercial platform to an open-source solution is definitely a trade-off, and you've hit on the key points.
The cost savings and flexibility are a huge draw, but the maintenance and learning curve are real!
The freedom from vendor lock-in and the ability to integrate with any library is a huge plus, but you'll need to build up initial internal expertise for troubleshooting and managing updates, as you won't have a support line to call.
I think it would be more manageable to start with a pilot project that's well-defined and has a clear success metric.
This will help your team get their feet wet with the new tools without a massive organizational shift.
The key is to start small, build your team's confidence and expertise, and then scale from there!

 

[LunchOnMe_09]

The shift from a commercial platform to an open-source solution is definitely a trade-off, and you've hit on the key points.
The cost savings and flexibility are a huge draw, but the maintenance and learning curve are real!
The freedom from vendor lock-in and the ability to integrate with any library is a huge plus, but you'll need to build up initial internal expertise for troubleshooting and managing updates, as you won't have a support line to call.
I think it would be more manageable to start with a pilot project that's well-defined and has a clear success metric.
This will help your team get their feet wet with the new tools without a massive organizational shift.
The key is to start small, build your team's confidence and expertise, and then scale from there!

Great insights! I'm just starting to explore open-source RPA and this helps a lot. For a pilot project, what kind of process would be a good starting point? something like invoice handling or user onboarding?

 

[terrymcorwin]

Our team (not me personally though) has been deep in the RPA game for a few years, mostly with the usual big commercial platforms. They've worked, but the licensing costs and vendor lock in are starting to outweigh the convenience. We're now exploring open source RPA options to see if we can get more flexibility and cut costs without sacrificing enough reliability.

The shift isn't just about budget mind you, we also want more control over customization and integration. With the vendor tools, we often hit a wall when we need to modify behavior outside the so called approved feature set. Open source seems like it could give us that freedom, but I'm aware it can also mean a steeper learning curve and more responsibility for maintenance.

Anyone has some experience here, what'd you all think

I've seen teams make the shift and it can definitely work if you're ready to own more of the maintenance. Open source RPA like Robot Framework, TagUI, or OpenRPA gives you far more flexibility for customization and integration, without the heavy licensing costs. The trade-off is you'll rely on in-house expertise and community support instead of vendor SLAs. If your team already has solid dev skills, the learning curve is manageable. I'd suggest piloting one or two processes first so you can gauge reliability and scalability before committing fully.