RPA

Simplify Citrix Automation With Autosmic

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Enterprises face a formidable challenge when it comes to automating interactions within Citrix applications. Traditional RPA platforms rely heavily on HTML tags or Windows IDs for object identification, which proves useless in the dynamic and virtualized Citrix environment. Additionally, the leading providers offer solutions that are overly complex, requiring extensive administration and maintenance, thus impeding efficiency and scalability.

Enter Autosmic the game-changer in Citrix automation.

Autosmic addresses the limitations of conventional RPA platforms by introducing a modern approach, harnessesing the power of computer vision to navigate and interact with Citrix applications effortlessly.

One of the key distinguishing features of Autosmic is its non-intrusive nature. Unlike other platforms that demand extensive configuration and administration, Autosmic seamlessly integrates into existing workflows without disrupting operations. Its intuitive interface and user-friendly design make automation accessible to enterprises of all sizes, eliminating the need for specialized expertise or extensive training.

Autosmic represents a paradigm shift in Citrix automation. By harnessing the power of computer vision and prioritizing simplicity and efficiency, Autosmic enables enterprises to unlock the full potential of automation without the complexities associated with traditional RPA platforms.

Autosmic’s capabilities extend beyond the confines of Citrix applications. With its versatility, Autosmic seamlessly transitions between desktop, browser, and Citrix environments, providing a holistic automation platform for enterprises. With Autosmic, you can keep it simple and effortless.

RPA Life-Cycle & Costs

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RPA and AI have been making waves in the business world for its ability to automate repetitive and routine tasks, improving efficiency and reducing errors. Now, with new technologies, you have to understand and adapt. You also need to keep an eye on ROI and make sure your costs don’t escalate. Let’s look at the RPA life-cycle.

Stages:

The RPA Life-Cycle consists of several stages: Planning, Development, Testing, Deployment, and Maintenance.

During the planning stage, businesses identify the tasks and processes that are suitable for automation and determine the resources and expertise needed to support the implementation of RPA.

  • The development stage involves creating the RPA solution, which may include designing and building bots, integrating systems, and training the RPA system.
  • The testing stage involves testing the RPA solution to ensure that it is functioning correctly and meets the needs of the business. The deployment stage involves rolling out the RPA solution to the live environment and making it available to users.
  • The maintenance stage involves ongoing monitoring and management of the RPA solution to ensure that it continues to function properly and meets the needs of the business.

Costs:

  • Planning: Enterprises may spend a significant amount of time and resources during the planning stage of the RPA Life-Cycle to ensure that they have a clear understanding of their automation goals and the resources and expertise needed to support the implementation of RPA. Autosmic helps to shorten this stage with Automated Task Mining and Process Modeling capabilities.
  • Development: The development stage may also require a significant investment of time and resources, as it involves designing and building the RPA solution, integrating systems, and training the RPA system. With a screen activity recorder and a drag and drop cloud designer, you can work pretty quickly through this phase.
  • Testing: Ensuring that the RPA solution is functioning correctly and meets the needs of the business is critical, and may require a significant investment of time and resources during the testing stage. Having the right amount of test data available and testing various exception scenarios is important at this stage.
  • Deployment: The deployment stage may also require a significant investment, as it involves rolling out the RPA solution to the live environment and making it available to users. If you have deployment tools, that simplify your deployment and management, this phase can be quick.
  • Maintenance: Ongoing monitoring and management of the RPA solution to ensure that it continues to function properly and meets the needs of the business is important and may require a significant investment of time and resources during the maintenance stage of the RPA Life-Cycle. Monitoring is an on-going activity and having the visibility through the tool-set is very important. Similarly if an application changes, bots may need to be maintained. Allowing this process to happen as smoothly as possible is a big factor that determines how hard and expensive your maintenance cycles are going to be. Autosmic provides special features for this stage.

Overall, the specific amount of time and resources that enterprises spend on each part of the RPA Life-Cycle will depend on the specific needs and goals of the enterprise, as well as the complexity and scope of the RPA implementation. Autosmic simplifies the journey by providing tooling at all stages of RPA. We would be happy to help guide you on your journey. Get in touch

How AUTOSMIC RPA Solves Your Operations Nightmare

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Problem:

Does your organization struggle with inefficient, error-prone, and time-consuming administrative tasks? Are you looking for a way to streamline your operations and improve efficiency? If so, you’re not alone. Many organizations face these challenges, but fortunately, there is a solution: Autosmic’s Robotic Process Automation (RPA).

Don’t let your operations overwhelm you. Stream-line your operations.

Autosmic’s Solution:

Process Discovery can help make bubble up data based opportunities that safely predict ROI for Automation

RPA is a technology that enables organizations to automate repetitive, rule-based tasks that are typically performed by humans. By using digital assistants to perform these tasks, RPA can significantly improve efficiency and reduce the risk of errors. When you combine Process Discovery with RPA, you get a more predictable and calculated outcome. Use these tools to drive decision making and manage your Automation Projects well. Automation is delivered in the form of Digital Assistants.

Here are just a few examples of how Autosmic’s Intelligent RPA can solve operational challenges:

  • Data entry: Digital Assistants can quickly and accurately enter data into various systems, eliminating the need for manual data entry and the risk of errors that can occur when humans perform this task.
  • Invoice processing: Digital Assistants can automate the entire invoice processing workflow, including extracting data from invoices, verifying the information, and routing the invoices for approval. This can significantly reduce the time and effort required to process invoices and improve accuracy.
  • Customer service: Digital Assistants can handle routine customer service inquiries, freeing up human customer service agents to focus on more complex or high-priority issues. This can improve response times and customer satisfaction.

Use Cases that Autosmic’s platform can help with:

Finance and accounting: Automate tasks such as data entry, invoice processing, and reconciliation of accounts.

Human resources: Automate tasks such as employee onboarding, benefits enrollment, and the creation of employee records.

Supply chain and logistics: Automate tasks such as tracking shipments, updating inventory levels, and generating reports.

Healthcare: Automate tasks such as managing electronic health records, scheduling appointments, and processing insurance claims.

Manufacturing: Automate tasks such as monitoring production processes, tracking inventory levels, and generating reports.

Retail: Automate tasks such as price monitoring, updating product information, and processing orders.

Conclusion:

In summary, Autosmic Intelligent RPA can be a powerful tool for solving operational challenges and improving efficiency. By automating repetitive, rule-based tasks, you can free up human workers to focus on more value-added activities and reduce the risk of errors. If you’re looking for a way to streamline your operations and improve efficiency, contact us for a free evaluation for your organization.

What Breaks Your Bots ?

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You might have heard this from others, or experienced it first hand. RPA bots keep breaking every few weeks. While this may be the experience of many, I had a different experience with what I built with Autosmic. I think this problem people see is a function of a few different factors:

  1. The problem you are solving may involve applications that change a lot
  2. The way the bots were built, made them prone to the application changes
  3. The RPA technology you use uses object detection technology that relies on underlying application page changes

Naturally, you wonder, how does one make the bots resilient?

  1. First of all, you got to understand what kind of changes you are likely to see. For example, a web application from a cloud provider you have no control over, can change in whatever way they want it to (of course most of them are not going to do a UI re-design every month!). Based on that, there are a variety of techniques you can use to build your bot
  2. RPA is a skillset that needs to be acquired over some time. Similar to programming, if the RPA developer uses correct techniques and relies on more robust unchanging entities, bots won’t break often.
  3. With Autosmic, we use computer vision to eliminate page/html changes beneath the hood. We don’t want those changes to inadvertently break our bots. The result is that if the pages are visually unchanged, mere html changes don’t affect the bots. In addition, if the objects do shift around, that can be accommodated as well.
How Do You Fix The Broken Bot?

Assuming this was a change in the web application that caused the visual navigation to break, you may end up re-recording the bot and building and testing it all over again.

With Autosmic, the bot is able to recognize the change on the fly, allow you to provide corrective guidance and it fixes itself while in the flow of execution, and continues as if nothing went wrong. You avoid the entire re-building and testing process. This feature can be enabled or disabled, of course as needed.