Pypestream vs. Agentforce

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Pypestream
Score 7.0 out of 10
N/A
Founded in 2015, Pypestream created the Customer Engagement Center (CEC), a conversational AI solution where the core product, the Customer Engagement Center (CEC), is an all-in-one, cloud-based suite of 12 components designed to transform any business into a fully automated digital brand. With headquarters in New York, Pypestream has a customer base that includes Shell, Chase, Procter & Gamble, Google, Sling, and HBO Max. Pypestream provides customer engagement in several key industries,…N/A
Agentforce
Score 8.0 out of 10
N/A
Agentforce is a solution that provides intelligent bots created and customized via a low code builder. Agentforce agents operate autonomously by retrieving data on demand, building action plans for any task, and executing these plans without human intervention.N/A
Pricing
PypestreamAgentforce
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
PypestreamAgentforce
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
PypestreamAgentforce
Considered Both Products
Pypestream
Chose Pypestream
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 …
Agentforce
Chose Agentforce
The native Salesforce integration and the fact that its purpose-built for CRM use cases, including important tools like workflow automation and a strong governance model were the mainly reasons.
Chose Agentforce
Microsoft Dynamics 365, Informatica Cloud API & App Integration, Informatica Cloud Data Integration and Informatica Intelligent Data Management Cloud
Chose Agentforce
We did evaluate the EVA bots, which are coming in market for Salesforce effectiveness. Those bots are good, but they're based out of very traditional use cases in the life sciences space. Agentforce is very, very advanced, right? Eva can talk about a typical sales rep coming …
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PypestreamAgentforce
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User Ratings
PypestreamAgentforce
Likelihood to Recommend
7.0
(0 ratings)
8.3
(0 ratings)
Usability
-
(0 ratings)
8.3
(0 ratings)
User Testimonials
PypestreamAgentforce
Likelihood to Recommend
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.
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Based on experience with Salesforce’s Agentforce, it is best suited for scenarios that require autonomous decision-making within a structured CRM environment, moving beyond simple chatbots to handle end-to-end tasks. It is least appropriate for tasks requiring high empathy, complex human judgment, or when the underlying data in Salesforce is chaotic and unmanaged
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Pros
  • Native live agent platform
  • Managed services for service creation and maintenance
  • Custom analytics
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  • It can accurately understand the full context of customer requests
  • Identifies customer sentiment in real time
  • Delivers knowledge-based answers while corrects indicates the source
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Cons
  • Generative AI - Large Language Model Support
  • Standardized Reporting
  • Custom UI Support
  • Developer Tools
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  • Allow bigger text messages
  • Be more clear when using html
  • Call other variables available in the org
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Usability
No answers on this topic
It would be around eight to say the UI is simple, it is like the Salesforce interface, so I don't have to look at what options sits there and what happens. That's something that is easy to understand. From a UI standpoint, it's really good. It functions on the layman day-to-day language, so that's really good. Why I scored a eight and not a nine or a 10 is because the missing off that context when you restart the conversation, that's an area which Salesforce needs to iron out and then maybe a 10 or 10.
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Alternatives Considered
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.
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We did evaluate the EVA bots, which are coming in market for Salesforce effectiveness. Those bots are good, but they're based out of very traditional use cases in the life sciences space. Agentforce is very, very advanced, right? Eva can talk about a typical sales rep coming in, logging in the day, log their entire day, and then probably having a simple text to reporting kind of a view. And that's it. Agentforce gives me a lot of insights, it gives me a lot of actionable insights. It uses its own brain. That's where Salesforce is an AI company. So we trust the Salesforce banner for it to innovate more and more, more and more. And that's where we chose Agentforce over.
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Return on Investment
  • 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
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  • Frees up frontline support staff
  • We have lowered our support case load around 10%
  • We can train staff on the platform and standardise it across the business unit
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ScreenShots