Quick disclaimer - the bot we are discussing is not production-ready. However, it is meant to promote discussion and learning around the potential capabilities of generative AI models with Robocorp. We built it to promote dialogue and learning around the potential capabilities of generative AI models with Robocorp. 

We recently published a ChatGPT HTML Selector Guesser Assistant that uses OpenAI’s API to guess the XPath selectors from a web page. It uses our RPA.Assistant and RPA.OpenAI libraries to create XPath selectors for Input and Button web elements. 

XPath selectors are a way of identifying distinct elements on a webpage. It’s short for XML Path Language, a language used to navigate elements and attributes within an HTML or XML document. XPath selectors can be instrumental in web scraping, automation, and other web-centric tasks because they precisely pinpoint webpage elements, even when the page structure or layout is updated.

When web browsers are used in robotic process automation (RPA), it's best to use the precision of XPath selectors to avoid broken bots commonly caused by inferior UI-based approaches. Here are a few examples of using RPA with web browsers to automate enterprise business processes. 

Web scraping - Extracting data from websites for research, competitive analysis, and other department-specific use cases. 

Completing web forms - XPath selectors help locate the exact form fields that need to be filled, which cuts down on errors. 

Processing documents - Locating specific elements in web-based documents, extracting data, and performing tasks like emailing or updating databases. 

Working with legacy systems - Interacting with the user interface of older or homegrown systems, enabling data transfer without APIs. 

Guessing XPath selectors with a bot (Demo).

This demonstration shows several experiments run using the ChatGPT HTML Selector Guesser Assistant on Robocorp’s Portal. Please watch the video below to see the demo. 

Experimenting with ChatGPT HTML Selector Bot

Feel free to experiment with the bot to find selectors on your web pages. Of course, if you can identify the elements you need more precisely by following the steps below. 

Finding XPath selectors the traditional way.

Here’s how you would typically identify XPath selectors on a webpage using Google Chrome in Windows. Replace “Ctrl” with “CMD” if you’re using a Mac. We still recommend using this method since it is more reliable, but we’re comparing today’s way of doing it versus a not-so-distant future way.

Press F12 or right-click “Inspect” or use the shortcut key Ctrl+Shift+I.

Click the Elements button in the upper left corner.

After pressing the button and moving the mouse to the page, you will find that different colors appear in different locations.

Click on the element you want to find XPath for.

The HTML code for that element will be highlighted in the Elements tab of the Developer Tools window.

Right-click on the highlighted code and select “Copy” > “Copy XPath” to copy the XPath of that element.

The ChatGPT HTML Selector Guesser Assistant is a fun way to unveil the potential of generative AI models in automation. While the bot is not yet production-ready, it highlights the importance of using precise XPath selectors for web-centric tasks such as scraping, form filling, and document processing. We look forward to hearing from you on possible other use cases.

Experimenting with Robocorp’s ChatGPT HTML Selector Guesser Assistant

Introducing Robocorp's New Setup Utility - simplifying the setup process for companies with Single Sign-on (SSO) or other complex network restrictions. With an intuitive UI and downloadable format, the new utility offers a variety of features to manage your Robocorp Gen2 RPA environment, including creating and testing profiles for distribution and setting up and managing multiple Windows Desktop Workers. For users that prefer command-line tools, these options are still available. However, if you prefer a user-friendly interface, the Setup Utility makes the process easier.

Gen2 RPA is an innovative form of automation that combines open-source flexibility with AI and robotic process automation. Its customizable and scalable Python-based code, low-code / no-code developer tool options, and consumption-based pricing make it ideal for enterprise-wide automations without licensing fees or infrastructure caps. Its "Bot Swarm" approach increases productivity and predictability, optimizes resource allocation, and helps organizations future-proof their operations.

The Setup Utility lets individuals create and test profiles to share with other users. Additionally, it helps you establish local workers for automation testing and manage multiple Windows Desktop Workers, among other features.

Testing Environment: Run diagnostic checks with your current RCC profile and network configuration profile if added.

Environment Diagnostics: View diagnostic details and perform actions to test or correct, current environment settings.

Profile Management: Add a new company profile, edit the current profile, import a new profile, or switch between available profiles.

Worker Management: Set up local workers for testing or desktop service workers for RPA tasks.

Miscellaneous: Manage various aspects of the application.

With the Setup Utility, you can enjoy a more efficient setup process:

Quickly create and test a profile configuration for your SSO organization.

Navigate complex setups with network proxies and other challenges.

Set up and run a local worker for testing purposes.

To learn more about harnessing the power of Robocorp's New Setup Utility, download the tool from our website and visit our documentation for guides and support.

Robocorp provides open-source Gen2 RPA for large enterprises that need to automate highly complex use cases, connect to AI tools easily, and run large mission-critical processes at scale for a fraction of the cost of traditional RPA solution providers.

Gen2 RPA is a breakthrough in intelligent automation that fuses open-source flexibility with AI, machine learning, and robotic process automation. This blend enables teams to develop enterprise-wide automations more efficiently and on a larger scale. With code-native and low-code / no-code developer tool options, plus Python-based code, Gen2 RPA is customizable and extensible for any use case.

Robocorp's Gen2 RPA offers consumption pricing, ensuring you only pay for actual usage. It enables scalability for unpredictable workloads without licensing fees, infrastructure caps, or surprises. The "Bot Swarm" processing approach assigns multiple bots to work together, accelerating processes and conserving resources. As a result, business leaders can enhance revenue, productivity, and predictability.

Introducing Robocorp’s New Setup Utility to Simplify Getting Started

Robocorp is excited to announce it’s been named a Leader in G2’s Spring 2023 Grid Report for Robotic Process Automation (RPA). We join a very short list of well-established competitors -  confirming that Robocorp’s next-generation approach to RPA makes us a true industry disruptor. G2’s Grid Report is a quarterly ranking of RPA software based on various factors critical to customer success. The report compares products based on customer satisfaction and market presence scores.

“At Robocorp, we take great pride in being a game-changer in the RPA industry and acknowledged as a Leader in G2's Grid Report highlights that mission. We are super excited about our growing community of next-generation RPA users and look forward to continuing to build and innovate advancements in python-based RPA and AI automations.” - Dave Dabbah, Chief Marketing Officer at Robocorp

The platform provides unbiased product ratings and reviews for software users, helping technology buyers make informed decisions. Ratings are generated algorithmically using data from user reviews, online sources, and social networks without subjective input from G2 staff. Users verify their identity to maintain credibility and review their employers' products. All reviews are moderated before publication to ensure the platform's integrity.

In addition to achieving Leader status, Robocorp was recognized as the…

Higher Performer for Enterprises and in various key geographies. 

Robocorp is honored to be recognized as a Leader in G2's Spring 2023 Grid Report for Robotic Process Automation - a testament to our commitment to innovation and customer success in the RPA industry. As a trusted and unbiased source, G2's acknowledgment of our accomplishments underscores our dedication to providing exceptional value and service. 

We thank our dedicated users, whose high ratings and invaluable feedback have contributed to our success. Thank you for your unwavering support as we continue to disrupt the RPA landscape and empower businesses worldwide.

Robocorp makes it possible for businesses and teams to work smarter by breaking down barriers between RPA and intelligent automation. The company makes building software robots and automating manual tasks easy, affordable, and fast with first-class, open-source process automation tools. It also gives customers a strong, secure platform for orchestration and execution that lets them run both cloud-based and self-managed robotic automations with pricing based on how much they use. 

Robocorp is backed by Benchmark, Canvas Ventures, Slow Ventures, FirstMinute Capital, Harpoon Ventures, Uncorrelated Ventures, Artisanal Ventures, Haystack, and angels. Robocorp is headquartered in San Francisco, with our primary offices being online. 

Robocorp Named RPA Leader by G2

Future-proofing the enterprise refers to the actions taken by an organization to prepare itself for future changes and challenges in its industry, market, and the broader economy. 

Its goal is to ensure the company's long-term viability and competitiveness and minimize the potential for disruption and obsolescence. It's becoming more important for companies to predict future challenges and opportunities and be adequately prepared to maintain their position in the marketplace. 

By future-proofing your organization, you will reduce costs, become more efficient and scalable, and improve productivity. Those are just a few defensive measures, though. You will also build flexibility and resilience in your operations, empowering you to access new markets, drive higher customer loyalty, and capitalize on new opportunities more quickly. 

If you want to survive in a hyper-competitive, AI-driven business environment, you must anticipate and respond to future challenges and continuously evolve and adapt your firm. Rapidly evolving technology is transforming many industries and companies that don't keep up risk being left behind. By future-proofing your operations, you can stay ahead of technological advancements and leverage new technologies to gain a competitive advantage. 

The world is becoming more competitive, with new entrants and disruptors constantly emerging. Companies that don't future-proof their operations risk losing market share - or even being replaced by more agile and adaptive competitors. You must be better prepared to adapt to market shifts and capitalize on new opportunities. 

Economic volatility can significantly impact enterprises and those that are unprepared risk being caught off guard. Companies should build resilience, so they’re better able to weather economic storms.

It involves a combination of strategic investments, a forward-thinking culture, and a focus on data-driven decision-making. By adopting these strategies and tactics, companies can position themselves for success in the long term and remain competitive in a rapid-evolving competitive environment. 

People: Successful companies must foster a culture of innovation. They will encourage employees to think creatively and develop new ideas to stay ahead of the competition. With the increasing adoption of artificial intelligence in the workplace, companies must invest in their employees' training and reskilling to ensure they can keep up and have the necessary skills to work alongside AI technologies.


Process: The old way of doing things won't work. Agile methodologies will help your organization respond quickly to changes in the competitive landscape. Companies can adapt their strategies in real-time by breaking down projects into smaller, more manageable tasks. Also, future-proofed enterprises will embrace data-driven decision-making to make more informed choices and adapt appropriately to market-based challenges. 


Technology: Becoming an autonomous enterprise is the best way to thrive in the future. Large firms tend to have a blend of mainframes, home-grown legacy platforms, ERP systems, CRMs, and cloud-based SaaS solutions in their ecosystem. For end-to-end automation and future-proofing, these technologies must work seamlessly and reliably together and can easily utilize AI, machine learning, and other emerging technologies.

Open-source Gen2 RPA is the way to future-proof your technology.

Gen2 RPA is an open-source intelligent automation solution that lets businesses connect and run operations powerfully and flexibly without affecting core systems. It uses the Python programming language and Robot Framework, giving it unmatched integrations, instant AI adoption, limitless scalability, and a wide range of uses - all with pay-as-you-go pricing and no licenses.

Whereas traditional Gen1 RPA solutions automated business processes for specific use cases and technologies, open-source Gen2 RPA is a lightweight, adaptable, and high-ROI approach to automating your entire enterprise and technology stack. 

Gen2 RPA seamlessly integrates with everything in your ecosystem - BPM, iPaaS, IDP, OCR, popular SaaS, and legacy platforms - regardless of age or vendor.

It reduces maintenance costs by 60% and helps developers build bots 2-3 times faster than traditional RPA solutions.

Developers can use VS Code, RPA Framework, and low-code IDEs. GitHub Copilot and ChatGPT make it easy to build durable robots and lower the learning curve for newer developers.

Inherent backward compatibility, no upgrading required, and lifetime code ownership without vendor lock-in.


Because it’s open-source, Gen2 RPA delivers lower costs, greater transparency, and the ability to customize and adapt to specific needs. This helps companies remain flexible and adaptable to changes in the business landscape. Gartner says that open-source software already handles 95% of mission-critical enterprise workloads. It’s becoming more popular as large companies find that it saves them money and has more benefits than proprietary tools. In fact, 80% of IT leaders plan to use enterprise open-source software for new technologies even more.

Future-proofing requires people, processes, and technology to work together. It is important to visualize your automation journey for today, tomorrow, and beyond.

Long-term automation success is largely driven by open platforms that are capable of integrating new technologies and features that haven't been developed yet. The AI world is changing fast, and as new advancements in AI are rolled out, open-source Gen2 RPA can seamlessly facilitate connections between AI and systems that reside in the cloud and on-prem. 

Robocorp is the industry leader in Gen2 RPA. Many of our customers see 3x - 10x gains in their RPA ROI compared to their experience with other automation solutions. We look forward to showing you the flexibility and dependability of open-source Gen2 RPA to automate your most complex enterprise business processes - at a fraction of the cost of traditional RPA solutions. 

Check out our case studies to see how other companies have transformed their businesses with Gen2 RPA. But, of course, we have other customers, too, and we’d love to share their stories and introduce you to them if you’d like. 

Robocorp is the leader in open-source Gen2 RPA - with hundreds of customers - from Fortune 500 enterprises to start-ups - that are augmenting or replacing UiPath, Blue Prism, Automation Anywhere - or simply want to start their automation journey with a more modern platform. 

Visit https://robocorp.com/talk-to-sales to learn more. 

How to Future-Proof the Enterprise with Gen2 RPA

Robocorp is excited to announce our new user experience for our Gen2 intelligent automation orchestrator, Control Room. The upgraded interface is designed to provide users with a more natural, consistent, and efficient experience. With the new streamlined flow, troubleshooting, and exception handling can be done in minutes compared to hours, which leads to significant productivity improvement for the operations team.

Our main reasons for updating the Control Room user experience were to ensure our customers get the most out of our platform, simplify their user journeys, and help them future-proof their operations in a rapidly evolving world of AI and machine learning.

We embarked on a robust customer-centric redesign project. We interviewed customers of varying sizes, analyzed user data, prototyped multiple design interactions, and engaged in a continuous feedback loop to ensure we met client needs.

“Control Room's newly-optimized UX delivers efficiency through streamlined workflows, visual aids, and robust data management features, confirming its position as the top open-source automation solution.”

- Sampo Ahokas, Co-founder and VP of Engineering

Here are some of the new Control Room UX features that resulted from collaborating with our customers:

Simplified user flows: Streamlined work item exception handling greatly improves teams' efficiency in operating automations.

Process diagrams: A clear visual representation of processes, illustrating work items, inputs, and outputs for straightforward understanding.

Comprehensive analytics dashboard: Top KPIs and detailed analytics for each process are displayed in a unified view.

Advanced search, filter, and sorting capabilities: Simplified features for managing table-based report data.

Customizable interface: Light and dark mode options are available for user preference.

Enhanced status indication: Unique icons for each item (process, worker, work items, runs, etc.) enable users to differentiate between them more efficiently.

Mobile-friendly UX: Our user experience is now optimized for use on mobile devices.

We’re confident these updates will enhance the user experience and increase productivity.

Robocorp's Control Room is the automation platform of choice for companies looking to break free from broken bots, expensive licenses, and infrastructure constraints. Key advantages include:

Secure orchestration of bots for any process, with no licensing fees and consumption-based pricing.

Cloud, on-premise, or hybrid orchestration options from a central command center.

Parallel processing for rapid completion of tasks and reduced computing costs.

Scalability to quickly and dynamically adjust workloads based on demand.

Consumption-based pricing with no licensing fees.

Robust security features, including separated workspaces, Secure Vault, and compliance with SOC 2 Type 2, GDPR, and HIPAA.

Comprehensive analytics dashboards for governance, compliance, and tracking business value.

By listening to and collaborating with our customers, we can continue to deliver cutting-edge Gen2 intelligent automation solutions that help businesses stay competitive in the age of AI and machine learning. Control Room enables you to automate end-to-end enterprise business processes three times faster and at one-third of the cost of traditional RPA solutions. To learn more about Robocorp’s Gen2 approach to intelligent automation, please contact a pro today.

Robocorp empowers businesses and teams to work smarter by shattering previous RPA and intelligent automation boundaries. The company makes building software robots and automating manual tasks easy, affordable, and fast with first-class, open-source process automation tools. It also provides a robust, secure orchestration and execution platform, allowing customers to run cloud-based and self-managed robotic automations with consumption-based pricing.

Smarter, Faster, Better: Robocorp Announces New Control Room UX

There’s been a quickly moving shift in how organizations function and compete. Recent developments in artificial intelligence, machine learning, and open technology ecosystems create an AI-driven, hyper-competitive environment. As a result, technological advancements will be more frequent, markets will shift more quickly and dramatically, new disruptors will emerge, and economic uncertainty and volatility will impact businesses that aren't prepared. 

Gen2 RPA, an advanced form of intelligent automation, is an open-source technology that positions companies to proactively anticipate and respond to challenges while continuously evolving their operations to stay competitive. Gen2 RPA is set to revolutionize how companies innovate and remain ahead of the curve. This article will discuss the value of Gen2 RPA in helping enterprises thrive in the future and offers a road map for the transition to Gen2 RPA, complete with essential deliverables.

The short answer is anyone affected by the benefits and risks of a more autonomous enterprise. Key stakeholders include business, IT, finance, and operations leaders. Centers of excellence, automation teams, and process owners are responsible for managing business processes. Compliance teams will ensure solutions or automated processes comply with relevant laws and regulations. The Gen2 RPA migration plan involves all these different stakeholders. 

What’s the difference between Gen1 and Gen2 RPA?

Gen1 RPA, sometimes known as traditional or proprietary RPA, was the first generation of robotic process automation that used screen scraping and UI-level interactions to access business systems, listen for triggers, and execute prescribed actions. 

Over time, these Gen1 tools became more sophisticated by interfacing with ERPs, CRMs, and other platforms through APIs and offered pre-built downloadable programs from their bot stores. This extended their functionality and use cases and helped them garner some of the world’s largest brands as customers. But, unfortunately, the bigger they got, the more they defended their expensive pricing models rather than offering innovation and pricing that met their customers’ evolving needs.

This is where open-source Gen2 RPA came in. It’s a leaner, more flexible, scalable, and cost-effective generation of enterprise automation. It offers intelligent automation capabilities, interfaces with virtually any technology - regardless of age or vendor - and automates critical business processes 3x faster, with limitless scale, at ⅓ the cost of Gen1 RPA solutions. In addition, since it’s open-source, companies can use their automations indefinitely without the risk of vendor lock-in.

Gen2 RPA is based on the Python programming language, shared with most AI/ML models, offering convenient, seamless integration. This helps enterprises leverage their existing technology investments while capitalizing on transformative SaaS tools, artificial intelligence, and machine learning. Furthermore, by pairing Gen2 RPA’s AI-assisted automation capabilities with a broader technology ecosystem - it becomes a universal engine of operational execution that can reshape the core foundations of the enterprise.

One of the significant benefits of Gen2 RPA is that it extends the scale and ability of companies to deliver as much value to as many stakeholders as possible at the lowest cost. In addition, it multiplies the learning capabilities of an enterprise, driving continuous improvement and performance over time.

Gen1 RPA solutions tend to lag in optionality, scale, and AI readiness - and they come with a more expensive pricing model that includes developer tool licenses and per-robot licenses. These solutions also force customers into inflexible infrastructure arrangements that restrict automations with a fixed amount of processing resources, leading to throttled workflows that cause service level (SLA) and potential compliance risks.

Gen2 RPA, on the other hand, is an evolutionary step ahead that offers a simple and affordable pricing model, including flexible tiers and consumption-based rates that allow enterprises to start for free and align costs with growth over time. In addition, Gen2 RPA only charges for computing resources used and scales up and down dynamically, avoiding the risk of processing ceilings and potential compliance issues. Finally, in a Gen2 RPA-powered company, value creation and capture are much more accessible.

Now, if your Gen1 RPA solution can deliver the features your organization needs today and in an AI-driven future, you shouldn’t adopt Gen2 RPA. However, if you need greater interoperability, flexibility, scalability, and more straightforward and cost-effective pricing, then Gen2 RPA is the right path forward.  

Please know that you don’t need to replace your Gen1 RPA solutions if you don’t want to. One of the top reasons large companies adopt open-source Gen2 RPA is because they ease into it over time. It coexists with your current Gen1 RPA solutions. This approach is attractive for most stakeholders since it doesn’t require strict deliverables and timelines. 

Most enterprises convert their Gen1 RPA bots across a 12 to 18-month phased migration plan. Since there are no licensing fees and you only pay for the Gen2 RPA computing resources that you use, your cost directly aligns with your consumption. As you migrate more processes to Gen2 RPA, you can phase out expensive Gen1 RPA licenses and infrastructure costs.

The migration from Gen1 RPA to Gen2 RPA is a serious step in unlocking the potential of AI-powered business transformation. Below is a migration roadmap with critical deliverables and items to consider.

First, it is vital to ensure that all relevant stakeholders are involved so communication is open and you can avoid errors. These include IT leaders, heads of RPA centers of excellence (CoE), department leads, business process owners, business analysts, and solutions architects. IT leaders will provide the necessary support and resources for the migration, while the CoE heads will ensure that the migration is aligned with the overall RPA strategy. 

Department heads, process owners, and business analysts will provide insights into the business processes that need to be automated and how the migration will impact these processes. The solutions architects will help design the new Gen2 RPA environment and ensure it meets the organization's technical requirements.

Develop a project plan: Use project management tools like Monday.com or Asana to keep teams and deliverables on track. First, determine the project scope, timeline, budget, and goals. Then, develop a communication plan to keep stakeholders informed of project progress and updates.


Conduct an assessment: Evaluate your current Gen1 RPA solutions, including their capabilities and limitations. Identify the most critical processes that must be migrated to a Gen2 RPA solution. Examine gaps in features and functionality so you can plan for improvement.


Write business requirements: Document your current and future RPA needs. Dream big. Gen2 RPA is open-source, so don't restrict the scope, scale, or functionality of your new intelligent automations. Your bots can run in the cloud, on-premise, or both.


Engage your Gen2 RPA provider: Gain access to low-code and pro-code automation tools and pre-built and open-source Robot Framework libraries and keywords. Take free Gen2 RPA certification courses to onboard newer developers. Connect with your vendor’s customer success team and join their developer community.


Build Gen2 RPA bots: Take your business requirements and start building. At Robocorp, our customers generally use VS Code as their go-to integrated development environment (IDE). We also offer a free code-native, low-code tool called Automation Studio. In addition, Robocorp offers Gen1 bot conversion tooling that helps you convert existing BluePrism, Automation Anywhere, and UiPath bots. It's available in Automation Studio and as a VS Code extension. Gen2 RPA uses Automation Ops best practices for continuous integration /deployment using GitHub, which enhances governance and compliance. Most Gen1 RPA providers do not offer this level of control. 


Test and validate: Test your new automations to ensure they work as expected. Make sure they meet your requirements and the expectations of your stakeholders. Address any issues that are discovered during testing and validation.


Migrate: Start a pilot project to familiarize yourself with the technology. Then, roll out your bots to other processes and departments in a phased approach. As mentioned earlier, many large enterprises use a multi-vendor strategy for the first 12 to 18 months. This gives them time to migrate to Gen2 RPA more stably.


Maintain and support: Continuously monitor the performance of your Gen2 bots and make any necessary adjustments. In addition, provide ongoing support and maintenance to ensure the solution continues to meet your enterprise needs. A great thing about Gen2 RPA is that you can run your bots indefinitely without the risk of a vendor forking the code or forcing you into messy product upgrades. 

Migrating from legacy Gen1 RPA to Gen2 RPA is a strategic move for companies seeking to unlock the full potential of AI-powered business transformation. By implementing a well-thought-out migration plan, companies can fully capture the benefits of Gen2 RPA’s enhanced automation performance, reduced costs, and expanded scale and learning capabilities.

Compared to Gen1 RPA solutions, Gen2 RPA offers a more flexible and affordable pricing model that aligns costs with business growth over time. In addition, Gen2 RPA provides dynamic scalability, meaning enterprises can use only the computing resources they need at a given time, eliminating the risk of processing ceilings and compliance issues.

Gen2 RPA can be a game-changer for enterprises needing to remain competitive in the rapidly evolving business landscape. By adopting a well-planned migration plan, companies can leverage the benefits of Gen2 RPA to drive successful business transformation and stay ahead of the curve in the age of AI.

Visit https://robocorp.com/talk-to-sales  to learn more. 

Gen2 RPA Migration Plan: The Key to Unlocking True Business Transformation

Robocorp is excited to announce our new video streaming feature in Control Room. It displays live and recorded video footage of unattended bots in action to understand exactly how your robot is behaving, which helps users troubleshoot any issues if they arise.

A video is worth a thousand words. With Control Room Video Streaming, you can now:

Troubleshoot errors more effectively by viewing real-time or recorded footage of bot execution.

Visualize the step-by-step actions your bots take to complete their tasks.

Share demonstrations of your RPA solutions with clients or other stakeholders.

"We’re thrilled to elevate the RPA user experience with Video Streaming for Unattended Bots. By providing real-time and recorded access to bot operations, we enable rapid issue identification and resolution, ultimately reducing downtime of critical business processes resulting in higher ROI”. - Erno Pirinen, Head of Product & Platform at Robocorp

We prioritize security, so Video Streaming is an opt-in feature with a multi-step activation process. First, you’ll need to contact Robocorp Customer Success to turn on the feature for your organization. Then, enable video streaming for your self-hosted Windows desktop workers. 

Once activated, you can enable or disable Video Streaming in Control Room for individual process step runs as needed. This flexibility allows you to use Video Streaming only for debugging or demonstration purposes, ensuring privacy when necessary.

We've designed Video Streaming with stringent security measures, including:

Default opt-in settings, preventing accidental activation.

Full encryption of video transfer and storage.

Retention of video data in line with artifact retention times.

Rest assured; your RPA video streaming experience will be secure and reliable.

When Video Streaming is enabled, you can view the video feed on your process step run page. You can watch the robot run in real time or review the footage after completion, providing full visibility into your bot's activities. Check out this quick demo video.

Robocorp Announces Video Streaming for Unattended Bots

For further information and technical support, go to Robocorp’s Video Streaming help article.

Control Room Video Streaming is available for Flex and Enterprise tier customers. Don't hesitate to contact Robocorp today to learn more about this innovative feature and take your RPA experience to the next level!

In intelligent automation, natural language processing (NLP) has become an increasingly important tool for businesses looking to streamline their operations. Thanks to OpenAI's latest announcement, integrating ChatGPT into your applications and business processes is now possible.

Using Robocorp's new Chat Completion Create keyword, Robotic process automation (RPA) developers can now create and test ChatGPT conversations for potential enterprise automation use cases. This article will examine possible NLP enterprise use cases and how the new keyword could support business operations.

ChatGPT is an AI-powered NLP tool that enables users to have more human-like conversations with a chatbot. OpenAI created ChatGPT and launched it on Nov. 30, 2022. OpenAI also developed DALLE•2, an AI art generator, and Whisper.

ChatGPT has made a significant impact in the tech industry. It had more than one million users in its first five days after launching, according to OpenAI's CEO, Sam Altman. UBS estimates that ChatGPT is the fastest-growing app, with 100 million active users just two months after its launch. It uses an LLM, a large language model called GPT-3.5, with 175 billion parameters, making it one of the largest and most powerful language processing models.

What sets ChatGPT apart is its ability to produce human-like responses based on the vast amounts of data it is trained on. For example, it logs context from users' earlier messages in a thread to form responses later in the conversation.

Let’s talk about the art of the possible for a minute. By combining ChatGPT with Robocorp’s intelligent RPA platform, companies could boost their automation capabilities with NLP to understand and reply to user questions in a more natural way. It could also summarize information and offer evaluations.

Before we go much further, let’s address privacy concerns, which are top of mind with nearly everyone today. As of Mar 1, 2023, OpenAI states they will NOT use data submitted by customers through their API for model training purposes - meaning they won’t repeat what you’ve said - unless you explicitly opt-in to share data. 

Additionally, any data sent to OpenAI via their API will be retained for abuse and misuse monitoring purposes for a maximum of 30 days, after which it will be deleted (unless otherwise required by law).

We suspect most enterprises will wait until more precise privacy guidelines and safeguards are in place before integrating ChatGPT into their business operations / automations. However, ChatGPT and other NLP tools are evolving at the speed of light, so it is advisable to experiment with possible integrations and business use cases to understand your options better as you plan for an AI-powered future.

Robocorp’s intelligent automation platform is based on the Python programming language, which means it interfaces with most technologies, regardless of age or vendor, and can automate virtually any business process. Python-based automation is the most flexible, adaptable, and cost-effective option for enterprises needing to drive significant ROI now and future-proof their operations for a hyper-competitive business environment.

A convenient bonus is that Robocorp shares the same language as most AI/ML models - meaning you can seamlessly tie artificial intelligence into your business processes with Python and certain open-source tools discussed below. Here are a few things you could potentially do by combining ChatGPT with Robocorp’s intelligent automation:

Finance and accounting: ChatGPT could help generate financial reports, invoices, budgets, forecasts, etc., based on data from enterprise applications such as SAP or Oracle. It can also interact with customers or vendors to collect payments, send reminders, negotiate discounts, etc.


Supply chain management: ChatGPT could help analyze historical sales data, market trends, customer feedback, etc., from enterprise applications such as Salesforce or Zendesk. It can also interact with suppliers or customers to confirm orders and provide updates,


Human resources: ChatGPT could be used with Robocorp to create and help update employee profiles, contracts, benefits, payroll, etc., based on data from enterprise applications such as Workday or ADP. It can also interact with employees or candidates to answer FAQs, schedule interviews, provide feedback, etc.


Training: ChatGPT could create and deliver personalized learning content for employees based on their roles, skills, goals, etc., using applications such as LinkedIn Learning or Coursera. It could also interact with learners to assess their progress and provide guidance, feedback, quizzes, etc., using RPA tools such as Google Classroom or Moodle.


Customer service: ChatGPT could generate personalized responses for customer inquiries based on data from enterprise applications such as Salesforce or Zendesk. It could also interact with customers to resolve issues, provide recommendations, follow up, etc.


These are just several examples of how ChatGPT, Robocorp, and enterprise applications could work together to automate complex business processes in different departments. Your imagination is really the only limiting factor.

We encourage RPA and Python developers to experiment with Robocorp using OpenAI’s API. We look forward to hearing about your use cases and experiences. Robocorp offers several ways to interact with ChatGPT and other OpenAI applications. One way is using Robocorp’s RPA Framework. 

To get started, sign up for an OpenAI API key. Next, go to the Robocorp RPA Framework OpenAI library. From here, you will see our library of OpenAI keywords, which are pre-built blocks of code that help simplify integrating OpenAI applications and services into your intelligent automations. 

Currently, we provide the following keywords for NLP and image generation:

Authorize To Openai - a keyword to authorize your connection to OpenAI’s API.


Chat Completion Create - a keyword for creating ChatGPT text completions in OpenAI. This keyword returns a list containing its response as a string and the message history as a list. 


Completion Create - a keyword for creating text completions in OpenAI. The keyword returns a text string.


Image Create - a keyword for creating one or more images in OpenAI. The keyword returns a list of image URLs.


Image Create Variation -  a keyword for creating one or more image variations. The keyword returns a list of image URLs. Source files must be valid PNGs, less than 4MB and square.


Here’s a short video clip that shows what you can create with ChatGPT using Robocorp’s Chat Completion Create keyword. 

Robocorp's ChatGPT Chat Completion Keyword

Another way to use Robocorp with OpenAI is by downloading a pre-built bot from our Portal. At the time of this article, there were two bots available for download:

OpenAI GPT-3 and chatGPT completions and DALL.E image generation - The robot allows users to create text and ChatGPT completions and images with OpenAI.


Solve a Triviaplaza quiz using OpenAI GPT-3 - This robot completes Triviaplaza's trivia quiz, asking OpenAI for the answers. We don’t suggest using this during Trivia night, but it's a fun use case. 


Check out this video where Robonaut Eki Palen demonstrates these two Portal bots. 

Coding for Success Vol.2  - Connecting Robocorp to Chat GPT

By pairing ChatGPT with Robocorp, enterprises can save time and resources, increasing productivity and reducing errors. This results in a higher return on investment and greater efficiency for the company. In addition, it can help ensure compliance with regulations and improve security by following rules and protocols. Finally, customers, employees, and suppliers will love getting the correct information immediately - creating a less frictional experience. 

By scaling these automations across the organization, teams can enjoy even more significant benefits as more and more tasks are automated. And finally, this can boost employee satisfaction by freeing workers from mundane, repetitive tasks, allowing them to focus on higher-value work. 

Robocorp Announces Integration with ChatGPT for RPA Use Cases

Robotic process automation (RPA) is a technology that uses software robots to perform business processes across various applications. These robots mimic human actions, allowing them to interact with desktop and web applications in the same way as a human operator. 

RPA has brought about a significant change in the way businesses approach automation. From its early days of rudimentary task automation, the industry moved towards intelligent automation, which includes features like intelligent document processing and basic chatbots. The industry is now entering a new phase emphasizing open ecosystems and integrated data flows.

Microsoft’s Power Automate software is a popular RPA solution for on-premise attended automation use cases, where human operators work alongside software robots to complete tasks. It provides a drag-and-drop interface allowing users to automate desktop and browser application tasks. Examples include data entry, document processing, and email management. 

Power Automate also has a cloud-based digital process automation (DPA) offering that lets companies model processes by connecting to their Azure data and using Power Automate connectors. There are some drawbacks to their DPA solution, though. It has complex licensing tied to Azure, limits your use case options, and doesn’t integrate as seamlessly with AI. 

Power Automate + Robocorp = Best in Class Automation

Today, many enterprises combine Microsoft's Power Automate and Robocorp tools to automate complex end-to-end business processes. Robocorp's cloud-based automation can interface with any technology and works 10x faster than traditional RPA. In addition, it integrates with AI and machine learning tools and services. This makes it perfect for unattended automation use cases. For example, power Automate handles attended desktop automation tasks, usually with a human in the loop - and Robocorp orchestrates cloud-based unattended automations between varying disparate technologies and departments.

Here are a few automation use case examples:

Invoice Processing: Businesses automate the entire invoice processing workflow, including data extraction, validation, and entry into the accounting system. This reduces errors, speeds up the process, and allows employees to focus on more valuable tasks.


HR Onboarding: Onboarding new employees can be a tedious and lengthy process. Using Power Automate and Robocorp, businesses can automate the onboarding process, from sending offer letters and collecting new hire information to provisioning accounts and setting up equipment. This reduces the time and effort required for onboarding, improves accuracy, and frees HR staff to focus on other important tasks.


Customer Service: Good customer experiences nurture repeat buyers. Businesses can automate common customer service tasks, such as responding to emails, routing tickets to the correct department, and updating customer records. This encourages a frictionless experience, improves response times, reduces errors, and frees customer service representatives to handle more complex issues.

For RPA developers that want to pair Microsoft Power Automate with Robocorp, you can visit our Portal and download an example bot to connect the two technologies and trigger a process. 

The evolution of RPA has significantly changed how businesses approach automation. From rudimentary automation, the industry moved towards intelligent automation, and it is now entering a new phase that emphasizes open ecosystems and integrated data flows. 

Microsoft's Power Automate and Robocorp are two best-in-class solutions, especially when used together. Their combination allows enterprises to automate complex end-to-end processes, reduce errors, speed up processes, and free employees to focus on more valuable tasks. In addition, it scales infinitely and offers consumption-based pricing, so you don’t pay for unused infrastructure like other RPA solutions. As the industry evolves, businesses will remain competitive.

Automation Dream Team: Robocorp’s Python-based Gen2 RPA + Microsoft Power Automate

Today we’ll examine how to build and scale large open-source robotic process automations while avoiding the pitfalls, fragility, and maintenance overhead associated with traditional Gen1 automation approaches. By combining Robocorp’s RPA Framework with Playwright, you can build headless bots that quickly and reliably click, navigate, read, enter data, submit forms, and more - as part of broader enterprise automations.

Robocorp's open-source initiative RPA Framework is a collection of libraries and keywords written in Python language and offers a human-readable, composable, and extensible approach to developing automations. It’s a collection of self-contained units of functionality that can be easily combined with other keywords to build larger automations. Think of them as programmatic building blocks that can be combined to implement intricate automations. 

Automating browser interactions with RPA Framework + Playwright

Playwright is an open-source tool initially developed by Microsoft for testing and automating browser interactions. It's important because it helps developers ensure the quality and reliability of their automations by catching and fixing bugs early in the development process. Once put into production, it dramatically improves data accuracy and the processing speed of automations since human interactions with the browser are limited or removed.

Why use the RPA Framework Playwright library?

Robocorp’s Playwright library makes it easy to build stable and reliable browser automations. Most Gen1 RPA solutions don’t offer Playwright as an option to interact with web applications, which can cause frequently broken bots. Also, RPA Framework enhances automations beyond native Playwright. It reduces bot fragility and seamlessly interacts with other RPA Framework libraries like Excel, Salesforce, JavaAccessBridge, SAP, and more to build end-to-end automations. This dramatically reduces your automation TCO, speeds ROI, cuts down on broken bots, and opens up a new world of automation possibilities.

Blog

Robocorp offers its clients the ability to build, scale, deploy, and maintain their robot workforce.

All posts by Scott Eddleman, Head of Product Marketing

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Robocorp Announces Integration with ChatGPT for RPA Use Cases

Automation Dream Team: Robocorp’s Python-based Gen2 RPA + Microsoft Power Automate

Are you using Playwright? Put your scripts into Robocorp to get immediate enterprise scale.

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