Customer Experience Agent Studio (CX Agent Studio) provides a platform powered by Gemini to rapidly build, evaluate, and deploy personalized conversational agents.
It replaces the former Dialogflow (formerly Api.ai) chatbot building tool, designed to give users ways to interact with digital products by building engaging voice and text-based conversational interfaces powered by AI.
Dialogflow was acquired by Google in 2019.
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Agentforce
Score 8.0 out of 10
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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.
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Pricing
Google Cloud Customer Experience Agent Studio (CX Agent Studio)
Agentforce
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud CX Agent Studio
Agentforce
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Cloud Customer Experience Agent Studio (CX Agent Studio)
There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we …
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.
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 …
Google Cloud Customer Experience Agent Studio (CX Agent Studio)
Agentforce
Likelihood to Recommend
Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.
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
Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.
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.
Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool
There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.
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.
As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources
