Pega Customer Service vs. Pypestream

Pega is a very nice tool for when we need to deal with data coming from different sources that need to be connected and used collectively. Additionally, having an easy-to-use interface makes it ideal for building decision flow in a simple manner that can still take advance decisions for 1:1 communication.

Incentivized

Pypestream is suited for standard chatbot and conversational flows versus more multi-departmental scenarios. They do very well with guided flow bot services which are great for agent bots within a contact center, but less so for those implementations that have a large document management implementation for FAQs. They do well with service integrations; however, at times troubleshooting edge cases that are impacting performance and adoption can take a while to remedy. I want to believe that better monitoring tools on the platform side would alleviate this for them.

Incentivized

• Easy to contact
• Responds very quickly
• Provides accurate information

Incentivized

• Native live agent platform
• Managed services for service creation and maintenance
• Custom analytics

Incentivized

• Performance, as some of the tasks run in batch.
• Extensibility could take time for complex functionalities.
• At least the cloud version should be more powerful in terms of processing.

Incentivized

• Generative AI - Large Language Model Support
• Standardized Reporting
• Custom UI Support
• Developer Tools

Incentivized

We have used different products those are ok but customer service is worst but Pega Customer Service is not like that tool and services both are doing excellent job

Incentivized

In comparison to Microsoft Bot Framework or now Azure AI service structure, where Pypestream is better suited is in those organizations who want to truly have a partner in development. Pypestream allows the flexibility for your Dev teams to do it themselves, or to be in a managed service where you provide requirements and information and they build and allow you to test and give approvals. They are more willing to work directly with you versus a Microsoft where you will eventually get pushed off to a 3rd party partner to help with advanced implementations.

Incentivized

• Reduced the manual effort due to introducing automation
• Increased customer satisfaction
• Enhanced personalization

Incentivized

• Enabled the contact center business lane to grow a chat agent support channel that has a 2 to 1 (customer to agent) support ratio
• Provides an alternate channel for training, marketing information, and data services which help grow our business and support different value streams

Incentivized