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Attended bots are great for increasing an individual worker’s productivity. However, when the task at hand requires batch-oriented, high-volume processing and demands enterprise class scalability, logging and security, it’s time to deploy Ratchet-X Cloud RPA. Cloud RPA is RatchetSoft’s unattended bot technology that allows you to create and deploy automations on dedicated virtual machines or servers with all job creation, submission and production monitoring, centralized in the cloud for easy access from any device.

Cloud RPA is the tool of choice if you are looking to automate processes such as:

  • Batch AP data entry (bills, purchase orders, invoices) 
  • Medical record creation and updates
  • Employee on-boarding
  • New customer creation and provisioning

Built on the same bot technology that powers Ratchet-X Desktop RPA, Cloud RPA allows you to create as simple or as complex an automation needed to get the job done. The big difference is that Cloud RPA automations do not run on a workers desktop, nor triggered by a user clicking the Magic Button in an application. Rather, Cloud RPA bots, running on dedicated virtual machines or servers, are activated by non-user initiated tasks normally associated with batch-oriented processes such as; a job scheduler or timer, the presence of a data file (csv, xls, xml), in a drop folder, a web service call, email, text, or some other custom event.

Managing the Unattended Bot Production Environment
When something goes wrong with the execution of an attended bot, it is usually easy for the worker to diagnose precisely what went wrong. Since the attended bot is automating a familiar process that the worker is watching in real time or video replay, he can quickly diagnose the problem and take corrective action. However, with regard to unattended bots, diagnosing problems is not as easy. When multiple bots are executing a series of different automations, hundreds of times an hour, the immediate connection of familiarity and context is removed from the process often resulting in longer problem resolution times. This is why we have equipped Cloud RPA with a number of user-friendly production monitoring features. These features include: live user prompts, data logging, video replay, and specification document contextual linking.

Live User Prompting
Regardless of where a specific Cloud RPA bot is executing, if it encounters an issue that requires human intervention, rather than merely sending the job to an exception queue for future processing, the bot can present a live user prompt to one or more registered managers who can intervene. If a manager elects to accept the prompt, he can connect directly to the “desktop” of the bot and intervene as needed.

Data Logging
Regardless of whether the manager is responding to a live runtime prompt or working with an exception queue after a batch of jobs has completed, the worker always has full access to the bot’s execution log where he can review every step and examine the state of all data variables at any point in the process.These logs serve both as a diagnostic and process compliance tool.

Video Replay
If for any reason the worker cannot diagnose a problem based on log data, he always has the option of viewing a video replay of a given automation’s execution. While logs are very helpful in diagnosing issues, showing a worker exactly what a bot did during its execution in the “language of the user”, (i.e. the screens, keystrokes, mouse clicks, etc), is a more intuitive way of figuring out what went wrong for users who know the process well and may not be as adept at reviewing log information.

Specification Document Contextual Linking
Sometimes a manager monitoring a series of bots might not be intimately familiar with the processes being performed by the bots. This is where Specification Document Contextual Linking comes into play. As the worker traverses the execution log, at any time, he can click through to see the applicable point in the specification document that is dictating the bot’s behavior at that point in the execution. 

As you can see, when you deploy Cloud RPA, you not only get enterprise class technology, you also get well-honed process and methodology guided by the hundreds of client projects with which we’ve been involved. And we’re always learning so you can be assured that whatever we learn on the next project goes right back into our product and processes to help ensure your future success. 

Want to learn more? Click here to send a test account provision request and connect you with an engineer who will guide you through the evaluation process. 

Requirements & Highlights

Job Trigger Events
• File folder drop (csv, xls, xml)
• Timer
• Web service call
• FTP
• Email
• Text
• Manual upload
• Custom

Scalability
• Bots can be run in network or in Cloud RPA infrastructure
• Bots can be dynamically spun up to accommodate variable demand 

Deployment Model
• 100% Cloud RPA
• Client Azure private cloud
• In client network Azure approved stack

Production Runtime Monitoring 
• Live user prompts
• Data logging
• Video replay
• Specification Document Contextual Linking

Bot Desktop Hardware Requirements
• 1GB RAM
• 50 MB free hard disk space