AntWorks ANTstein vs Appian

• Ai enabled RPA: unique in the market. Most of the RPA tools do not provide Ai in RPA. A.I. in RPA means making an intelligent and self-monitoring robot army.
• It creates numerous ants when the task is overloaded. Most of the time in Big Data Analytics, unstructured and semi-structured data comes in a pipeline. ANTstein knows very well how to channelize the data.
• Automated Data analytics and code free automation. This supports all formats like PDF, digital data, and spreadsheets.

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• I have observed after version 17.1 we have a lot of good features in Appian that improve usability (UX). This adds real value in this competitive Digital space.
• You can understand business use case and convert it to a logical process automation.
• Process Modeller has improved a lot and providing smart services use adds more value.
• Service integration helps us to seamlessly integrate with third-party systems

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• Some of the tasks still needs human intervention. The level of complexity of autonomous tasks handling without human intervention is needed to be improved.

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• Advanced functionality requires use of the Appian expression language. The more advanced the logic, the harder it is to build with the expression language. This means development expertise is more relevant if you need advanced functionality, which I imagine applies almost all the time. I would much prefer if they allowed some common language such as JavaScript out of the box.
• Debugging has proved difficult. It’s easy for developers to get the app to or feature to a “working” state but it needs robust alpha testing.
• Deployment can be tricky. When a solution gets big and there are many teams and dependencies, it needs a careful process to ensure things don’t break.
• Reasuability of Appian objects is both a pro and con. Reusing objects across apps may be more trouble than its worth because of creating heavy dependencies. Experience is helpful to strike the right balance.

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• Positive: Robotics Process Automation with AI and self-learning eases repeated tasks. Even when data structure changes, ANTstein handles by itself
• Negative: It shoes special characters when input fonts are not available in the system. Sometimes it becomes difficult to handle local language fonts.
• Positive: Detect text and non-text content in screen scraping, and web scraping with replication accuracy using OCR and Data Scraping.

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• Our objective to reduce customer effort when dealing with government by 25% was exceeded. In the process of applying for an alcohol licence renewal alone, we saw approximately 80% reduction in time and effort for the business customer - and that was just a prototype! Imagine the possibilities when this is taken into a live environment!

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