Appian vs SAP Conversational AI

• 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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• SAP Conversational AI in addition to providing the chatbot features also integrates bot analytics without the need for much setup/deployment work.
• It is possible to code SAP Conversational AI chatbot in multiple coding languages (Node.js, Python, PHP, iOS, etc.) that makes it easy both implement as well as integrate with existing IT stacks (eg. Analytics, AI, Databases).
• SAP Conversational AI is easy to implement and get it running especially if you are already using SAP S/4HANA Cloud.

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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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• Documentation update. Some of the very nice tutorials and docs seem outdated or not SAP-branded, which can be confusing
• Fallback channels. The intercom fallback channel has an important lack of speed, and the SAP fallback channel seems complicated to implement in a product development sprint

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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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• It’s a very good initiative by SAP to bring SAP Conversational AI which is much needed in current business scenario and with the emerging other ERP solutions that also have their chatbot tools. Having SAP Conversational AI would reduce dependency on other platforms to build a digital assistant. Also, gives much better integration to SAP’s own various products
• However, it still needs to grow stronger as compared to the capability of IBM’s Watson, Amazon’s Lex and Google’s dialogue flow where it comes to enable its capability to work as voice enabled chatbot to work in Alexa and google home

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