fchishtie

cool!

cool! thank you for sharing - will check it out

thank you!

we’ve found that existing RPA platforms were built more for business users/citizen developers at really massive enterprises - we’re more focused on the developer experience for building RPAs at scale

thank you!

thank you! it’s a cool problem space (:

the underlying automations that are running on the Windows computers are just python scripts actually!

great question - Minicor doesn’t offer any agents for performing the automation - we focus exclusively on connecting coding agents to the legacy system and using our MCP to build code based automations for doing so at scale - trying to solve the 30% error rate in robotic process automations

thank you!

yeah those core systems of record are so locked in place - I can't even imagine the change management

ah for the fake EMR demo I was a bit less strict with claude, it was vision detected likely - our MCP has tools for taking screenshots of the screen and inspecting the windows accessibility tree etc

happy to share more over email! you can reach me at faiz@minicor.com

logs get written in our customers' premises on a bucket of their choosing (: so PHI doesn't leave their VPC

No patient/customer data included in the screenshots - in production we’d basically find some “region” of the screen to screenshot that would help an LLM say yes/no to - ex: “is the nav bar green and does it say Insert Note”

We think CyberDesk is great - our main difference is I believe the primary driver for their automations is computer use / agent based - whereas our automations use agents to create/maintain/support python code

yes effectively, but we use LLM vision in multiple places - for context, there are multiple ways an RPA can fail:

1. RPA code breaks (ex: throws an exception if a window does not exist) 2. RPA reports success but was clicking / typing in the wrong place 3. Underlying system breaks (virtual machine / legacy software)

the skill we have in our MCP is to build the RPA code to throw exceptions where possible so an LLM can understand the context and recover

to avoid false success states we add LLM vision steps in the workflow itself to error out if it sees that the system is in the wrong state

and for the underlying system breaking it can be as simple as having a CRON job that checks the status of the process / the health of the VM and running a script to reboot the system

it depends on the system but the pattern we've seen with RPAs is you can catch maybe 80% of the edge cases in the first week it's been rolled out

it’s a good q - we experimented a lot with computer use / agentic automation and found that at scale a hybrid solution where the automations run as deterministic code with agents for recovery is the best - running automations as code is faster & cheaper & when you’re doing critical tasks (like updating patient records) you don’t want an agent to potentially mess something up.

previously writing RPA code used to take a long time - using AI (and its infinite patience) we can write more durable code that covers more edge cases

And since they’re code based it’s pretty straightforward to an agents monitor them and update their code when upgrades to the underlying system happen etc…

for observability - we have workflow execution logs that store text, videos and screenshots so an agent or a human can debug them - lots and lots of webhooks when things break ! (:

thank you - good catch (:

Yeah that’s true - in those cases we’ve either worked with their outsourced IT provider to spin up VMs for us or have had to spin up our own VM and connect through a VPN - IT can be very fun…

yes good call out - that customer wheel is so overdue for an update

Yes, more likely on a virtual machine running the legacy software

yeah it’s been interesting to watch, we were surprised initially at how much legacy users actually wanted to adopt AI - I think it’s because of how awful the old software can be to interact with

Thanks for flagging this!

100% right - we support the AI companies who are selling to the legacy end users - for ex: we don’t sell directly to hospitals, but an AI scribe for doctors that already has a hospital as a customer, we help them integrate to the hospital’s EMR

Thank you!! Yeah that's a good point - it's been so engrained in our brains, appreciate the feedback

Yes! we have customers doing that

It's a script that simulates clicks/keystrokes on Desktop/Web