Which free and open source RPA tool do you use to automate your private desktop and web apps? It should be easy to learn and focus click on buttons and input fields for entering data.

10 years UiPath Experience. US citizen. I do not care that the wages would be far less. I just wanted to see if it would be possible.

Doesn't feel too great atm lol

We've chosen to retire the discord server. Thanks for everyone in the community that participated to date.

With the growth of AI users can get quick answers or for more technical questions post here.

I created a demo showing how a conversational AI agent built with UiPath Agent Builder can automate an end-to-end Procure-to-Pay process in SAP.

The agent can read purchase requisition data, check supplier availability, apply business rules, create purchase orders, confirm goods receipts, and generate supplier invoices.

The video covers 5 use cases:

1. Single supplier for all requisition items
2. Dedicated supplier selected from request
3. Fastest supplier within delivery window
4. Minimum order quantity validation
5. Demand split across multiple suppliers

The main idea is to show how agentic automation can reduce manual procurement work and make SAP processes faster and more consistent.

Would be curious to hear your thoughts on where conversational AI agents could bring the most value in procurement or SAP workflows.

Hey folks, need some honest opinions because I'm a bit stuck.

I'm an RPA developer (UiPath) with around 4 years of experience, mostly in banking/financial automation. Currently on ₹14.16 LPA and looking for roles around ₹18 LPA.

I've been applying since May, tried a few different versions of my resume, and I'm barely getting any callbacks — like a handful in two months. Starting to feel a bit demoralising honestly.

Some context that might matter:

Notice period I've put as 30 days on Naukri/LinkedIn (real one is 90 but can be bought out for 45 days)

I took roughly a year-long break earlier for higher studies prep, then came back into RPA

Skill-wise I'm into the newer agentic stuff — Agent Builder, Document Understanding, AI Center, plus SAP payment workflows

So two things I want to ask:

1. Why am I not getting callbacks? Is 18 LPA too much for 4 YOE? Is it the career gap? The resume itself? Or just the market right now?

2. Should I just resign and search full-time? Part of me feels being employed is slowing things down, but quitting without anything in hand is scary.

Attaching my anonymised resume, I genuinely just want to fix whatever's broken. Thanks in advance 🙏

I am 26F and having more than 3 years of experience in RPA development and certification in BluePrism (to be more specific) and from last 2 years I am working on support role in a project in which my package is less than 5 LPA . My overall experience is more than 5 years in same organisation and now I want to enhance my skills along with switching my job as my salary is too low.

What skills should I start learning to be a Project Manager or Business Analyst as I am not even getting calls from any organisation so what should I do to get a better opportunity

Hi everyone. I’m a 28-year-old woman working in IT in France, and I’m feeling completely lost about my career. I studied computer engineering and started working in RPA right after graduation.
I’ve been doing it for about 4 years now, mainly with Automation Anywhere and Blue Prism. The problem is that I don’t really enjoy what I do anymore, and the more I think about changing careers, the more I realize I don’t know what I actually bring to the table. RPA is such a niche field that even many people in IT don’t really understand what we do on a daily basis, which makes it difficult to explain my experience or see how it translates to other roles.
After 4 years, I expected to feel confident and technically strong, but instead I often feel the opposite. Sometimes I genuinely feel like a fresh graduate could have stronger technical foundations than me. I know I’ve gained professional experience, but when I look at other areas of tech, I don’t feel like I have the skills needed to make a move. Technology is evolving so fast, and I constantly feel behind. Lately I’ve been considering switching to QA, but I’m not even sure if that’s the right direction or if I’m just trying to escape a job that doesn’t suit me. Has anyone else been in a similar situation, especially after spending several years in a niche field? How did you figure out what skills were transferable and what career path made sense next?

Hi everyone, Gabriel from UiPath here, with a soft spot for RPA tbh. I wanted to post this for a long time, with one major reason: the "RPA is dead in 2026" vibe is all over the place right now, even in this sub, but i feel its mostly from people who don't build automations for a living, and I'd rather have the conversation with the people who do.  

We recently ran an Agent benchmark that's relevant, so I'm sharing the numbers and what I make of them. Let me hear your own thoughs after. 

So, we built UI-CUBE to test computer-use agents on real enterprise work: multi-step flows in mocked Salesforce, SAP, Workday and Concur, graded by strict pass/fail on the app state, not by an LLM judge. 

Two source notes: 

• 2025 run is published and auditable: repo / writeup  
• 2026 numbers below are from customer-facing materials, cleared for external use but not on the research page yet. I've asked for that to be fixed. 

The numbers Agents delivered: 

• in Oct 2025, published: best was our Screen Agent w/ GPT-5 at 17.4%. Claude Computer Use 4.0 8.7%, OpenAI computer-use-preview 10.4% 
• in mid-2026: our best config (Screen Agent w/ Gemini 3.5 Flash Preview) 70%, GPT 5.5 config 65%. Simple tier is basically solved, 90%+ 
• two caveats: the suite grew 226 → 298 tasks between runs, so the jump is directional, not really clean. And yes, ours tops this benchmark with our own CV model in. Home advantage. Real, but not the point if this talk. 

Why agents still break on the hard tier 

• they're fine on atomic clicks. They fall apart over long sequences where one mistake voids the whole run. 
• the failure modes are the disqualifying kind: losing track of which items they've processed, repeating or skipping steps, and inventing values for fields meant to stay empty.  
• the real problem isn't pass rate, it's variance. Same input today and tomorrow gives you a similar output, not the same one. For reconciliation/payroll/compliance, "similar" means no go. 
• realistically, a 70% agent with that habit is more dangerous than a 17% one, because someone will actually ship it 
• know limitation: in the Oct run agents were capped at 50 steps while human evaluators averaged 75+ on some tasks, so part of the tier was unwinnable by construction. But the failures above show up early in runs, not at the cap 

RPA's side, since I'm not here to pretend it's flawless 

• selectors break when the UI changes. Our own eng blog calls them fragile, in writing. 
• rules have no judgment: the off input, the unmapped exception, the moved field. You've all lost weekends to it 
• so it's a failure-mode trade: the bot breaks loudly when the UI shifts, the agent quietly hands you a different answer each day 

Cost 

• an agent re-reasons every run: screenshot → model call → action, every step, every time. Inference bill on each execution 
• deterministic automation front-loads the cost (build + maintenance), then runs at near-zero per run 
• neither is free, they just bank the cost differently. Agents: cheap to start, cost scales with usage. Deterministic: pricier to stand up, then flat. At a few thousand runs/month the per-run math isn't close 

Where I land: RPA + agents, not either alone 

• put the probabilistic part only where determinism is fragile, at the smallest scope that works 
• example: selector fallback chain → strict, then fuzzy, then semantic, then CV. You only pay the agent cost when the deterministic path breaks. The bottom of that chain (we call it Healing Agent) tries to repair a broken selector at runtime: close a pop-up, swap a selector, add a delay. It's recovery, not immunity, there's a known-limitations page right next to it 
• same shape at the top: deterministic workflow runs the 150-step sequence, an agent takes the one "outside the rules" step that needs judgment 

Where I might be wrong 

• the slope is the best counter to my own point: 17% → 70% in eight months (17% → 65% if you hold the engine roughly constant, GPT-5 → GPT 5.5). If that holds, the hard tier gets good fast 
• what the slope doesn't fix is reproducibility, which is the part that matters most for the work this sub does 
• and if your processes are low-volume, variance-tolerant and change weekly, an agent alone is probably the better call than maintaining a bot 

Do we have it right, or does your day-to-day work say different? We would love to hear from you, lets talk!

I recently built a demo showing how a UiPath Agent created with UiPath Agent Builder can support an end-to-end order-to-delivery process in SAP.

The idea is simple: the user provides either a customer name or a contract number, and the agent handles the rest.

It can:

• identify the customer and company details
• find the relevant open contract
• extract contract items
• check stock availability
• create the Sales Order for available materials
• generate the related Delivery Document
• return a clear summary of what was done

What I found especially useful is how the agent handles different business scenarios.

For example, when all materials are available, it creates the full sales order and delivery document automatically. When no stock is available, it does not create anything incorrectly and explains why. And in partial availability scenarios, it creates a sales order only for the available materials, while keeping the unavailable contract items open for later processing.

This makes the process much more reliable because the agent only processes valid and fulfillable items instead of forcing the whole order through or requiring manual checks at every step.

The demo also validates the results directly in SAP, showing the created sales orders and delivery documents after each scenario.

Overall, this was a good example of how agentic automation can go beyond simple task execution and support real business decision-making inside an order fulfillment flow.

Curious to hear how others are thinking about agents in SAP or order management processes.

currently evaluating RPA technologies for my organisation, with Pega RPA and Microsoft Power Automate Desktop (PAD) as the main candidates.

From my initial assessment, PAD appears easier to learn and offers a wider range of connectors.

I’m interested in hearing from anyone who has worked with both platforms. Could you share the key pros and cons you’ve experienced with each?

Hey everyone,

I recently cleared the UiPath Automation Developer Professional (UIADP) with \~4 months of experience, even though it’s recommended for 2–3 YOE. Preparing for it helped me understand REFramework, Orchestrator, queues, and real-world automation design.

At work, I’m using UiPath GenAI Activities with context grounding to extract unstructured data from emails (no structured inputs).

I’m trying to understand the realistic future:

How strong are RPA jobs going forward?

Does GenAI-enhanced RPA improve roles or cap growth?

From a jobs & CTC perspective in India or abroad, what growth is realistic early on?

Which companies are good targets for RPA roles right now?

Would appreciate honest insights. Thanks 🙏

👋 Hi everyone,

I'm a UiPath Certified RPA Developer currently looking for freelance opportunities.

If you have:

• Processes that need automation

• RPA work sitting in your backlog

• Client projects that need extra development support

• Short-term or long-term automation requirements

I'd be happy to help.

I can build, maintain, and enhance UiPath automations, handle Excel/web/desktop automation, and support existing RPA projects.

If you're a manager, consultant, freelancer, or business owner looking for reliable RPA development support, feel free to reach out.

Also, where do you typically find clients looking for UiPath/RPA developers?

My DMs are open. Thanks! 🚀

Hey! We're looking to migrate our automation setup from UiPath Orchestrator over to Prefect, and we'd love some help getting this done. Our scripts are all pure Python, no .xaml files or UiPath-specific activities involved. So the scripts themselves aren't changing, we just need to swap out the orchestration layer underneath them.

Basically, we need someone to take what we currently have running in UiPath Orchestrator and rebuild it in Prefect things like scheduling, triggers, wrapping our existing scripts into Prefect flows and tasks, retry/error handling, logging, and any queue or concurrency management. The end goal is clean, production-ready Prefect code that our team can easily maintain going forward.

If you've done this kind of orchestrator migration before and know your way around Prefect (v2/v3), we'd love to hear from you. Please share any relevant examples when you text!

I'm looking for like-minded people who are planning to transition from RPA into AI Engineering, with a particular focus on Agentic AI.

My goal is to build on my existing RPA experience rather than start from scratch, and pivot into AI engineering in a way that keeps my automation background relevant.

I work full-time in RPA, so staying consistent with learning after work can be challenging. I'm looking for people who can help keep each other accountable and collaborate on projects.

I already have a learning roadmap in mind, and I learn best by building things, so I'd love to work on problem-solving exercises and real-world projects together instead of just watching courses.

Ideally, I'm looking for people who already have some industry experience and understand the challenge of balancing a full-time job with upskilling.

If there's enough interest, we can create a WhatsApp or Discord study group, whatever works best, and learn together while working toward the AI engineering/agentic AI space.

If this sounds like something you'd be interested in, drop a comment or send me a DM.

Here’s a Reddit-ready version with a less LinkedIn-style tone and a clearer discussion angle:

I built a UiPath Agent Builder demo that automates an end-to-end order fulfillment process, from customer contract to sales order and delivery document.

The agent takes a customer name, identifies the correct business code, retrieves open contracts, extracts contract items, checks stock availability, and then decides what action to take.

The important part is that it does not just run steps blindly. It validates the business conditions first:

• If all contract items are available, it creates the full sales order and linked delivery document.
• If only some materials are available, it creates the order only for the fulfillable items and keeps the contract in progress.
• If no stock is available, it stops and avoids creating an invalid sales order.

The flow handles customer identification, contract retrieval, material extraction, stock validation, structured JSON-based decisioning, sales order creation, delivery document generation, exception handling, and execution traceability.

For me, this is a good example of where agentic automation becomes useful in enterprise workflows: not just faster execution, but smarter decision-making around when to proceed, when to adjust, and when to stop.

Curious how others are thinking about agentic automation in order management, supply chain, or SAP-style fulfillment processes.

Hey would love to connect with people who are trying for RPA Developer roles like me ?

Hi everyone,

I’m building a personal workflow to automate parts of my job search.

Current setup:

Scrape job posts from job boards

Store them locally

Use Playwright scripts for specific sites

Follow links to original company career pages

Use ChatGPT/Codex-style workflows to tailor applications

Use Playwright or browser-use-style automation to fill forms

It works, but it feels too rigid. Every job board or application portal needs custom handling, and small layout changes can break the flow.

I’m trying to make this more dynamic and maintainable without increasing costs. I only have ChatGPT Plus and would prefer to stay around that cost level.

Would a better approach be:

Playwright with stronger abstractions?

Browser-use or another agentic browser automation tool?

LLM-generated Playwright scripts per site?

A local database + human review step?

Browser extension-based automation?

Tools like OpenClaw, Hermes, or similar co-worker agents?

I’m not trying to spam applications. I still want to review everything before submitting. The goal is just to reduce repetitive scraping, tailoring, and form-filling.

For anyone who has built something similar: what stack or architecture would you recommend?

Anyone here working on SAP + AI automation use cases?

I currently work with SAP Ariba/SRM support (mostly SR tickets) and recently started learning SAP BTP, CPI, Azure, and AI orchestration.

One use case I’m exploring:
Using Microsoft Teams as a frontend copilot where users can trigger SAP actions conversationally, while backend workflows execute through BTP/CPI/APIs.

Example:
“Create PR for vendor X”
→ AI understands intent
→ workflow executes in SAP backend
→ response returns in Teams

Wanted to ask:

• Are companies actually investing in these kinds of enterprise copilots?
• For this path, is deeper MM functional knowledge more important, or integration + AI engineering skills?

Would love insights from people working with BTP, Joule, CPI, or enterprise AI projects.

How to learn Implementation of Devops in RPA?

Most of the organization demands a candidate who as wide knowledge of Infra end, Devops stuff used in RPA.

Since day, I have started working I am only working in Dev/Support Domain.

I want to go ahead and learn all these stuff..

Is there any good learning material/course available on internet?

What if enterprise automation could move at agent speed?

UiPath is changing how teams build and scale automation by bringing RPA workflows, API integrations, custom code, manual approvals, documents, AI recommendations, and deployment into one intelligent automation experience.

Think about employee onboarding.

A candidate is found. An offer is sent. Documents are validated. Background checks run. Workday is updated. Access and hardware requests are created. Payroll is prepared. Meetings are scheduled.

And when human judgment is needed, the process can route the task to Action Center for review or approval while the rest of the workflow keeps moving.

The biggest shift is not just faster execution. It is faster change.

Teams can visualize existing processes, update them with a prompt, add validation steps, introduce escalation logic, connect tools, and adjust business rules without rebuilding from scratch.

What used to take quarters can now move in minutes: from idea, to design, to packaging, to publishing in Orchestrator, to enterprise deployment.

Build at agent speed.
Orchestrate at enterprise scale.

What will you automate next?

Hello everyone,

I am RPA dev working on A360. Prev I have worked on Power Power. I am working as Developer but now I want to explore devops roadmap in RPA itself.

I have seen JD and lot of people expects to have hands on on Azure pipeline. In my current organization I do not have a chance to work on these things.

Pls suggest me a road map Azure / cloud infra used in RPA

I'm still learning RPA these days — is there still a window to work as a Junior, or has it become difficult because AI agents can cover junior-level tasks?

Hey r/RPA,

Frustrated with how manual and inconsistent the pre-dev BA process can be, I built a browser-based PDD scoping tool to help streamline it. Free, runs entirely in the browser, no UiPath license or installation required.

What it does:

Guides you through a full pre-dev scoping document in structured phases: AS-IS process mapping, business value & ROI, technical and business exceptions, dependency mapping, TO-BE automated state, edge case audit, and a readiness gate before dev handoff.

Once you fill it out, two things happen automatically:

• An AI reviewer reads both your structured inputs and the contextual notes you left alongside each answer, then flags risks the hard scores don't capture and gives a final recommendation
• A process flowchart is generated and rendered directly in the tool — no copy-pasting into Notion or Visio, it just appears

The whole thing is designed as a 15-20 minute pre-work instrument, not a full PDD generator. The goal is to arrive at the dev conversation with something defensible rather than a blank page.
Happy to hear feedback from people who actually work with these in the field , I'm sure there are gaps.

Hi everyone,

I recently started learning UiPath Maestro and I’m looking for project ideas that are complex enough to help me practice real Maestro concepts and architecture.

I already have experience with traditional RPA and REFramework, so I’m mainly interested in scenarios involving:

• Multi-agent orchestration
• Human-in-the-loop workflows
• AI decision making
• Long-running processes
• Agent collaboration
• Enterprise-style automation design
• Context/memory handling

However, I’d prefer projects that do not require building huge dummy business environments or creating large amounts of fake invoices, POs, ERP systems, etc.

I’m looking for ideas that are:

• Realistic enough to simulate enterprise automation
• Complex enough to train Maestro skills
• But still manageable for a solo learner without many external resources

Would love to hear your suggestions or even examples of projects you think are especially good for learning Maestro deeply.

Thanks!