Genesys Cloud CX vs. IBM watsonx Orchestrate vs. OpenAI API Platform

I liked the agent and skill based routing. As a business who have multiple brands and accounts, we usually have agents that are specific to certain brand with different priorities. So this feature has been specifically helpful to our business when routing them through phone, email and chat supports. It helps us generate high customer satisfaction ratings across channels

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In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.

For smaller organizations that run lean and would like to get to deploy a solution quickly. This is a solution that is easy and quick to develop. It has a good amount of customization. However, for advanced customization this might not be a good solution. I suggest experimenting with OpenAI API and then if the experimentation is successful then it is a good idea to optimize and try other LLM models.

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• Ease of call flow design - Architect tool is wonderful and easy to use.
• Ease of API usage: Using native Genesys Cloud APIs, we can develop our own custom logic/solution.
• The Archy tool - which help us to maintain CI/CD across our organization.

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• New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
• Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
• Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.

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• The developer experience is top notch. Their SDKs are super easy to use
• Organization and project billing separation. You know where everything was consumed.
• Playground. The playground is super useful to prototype without writing a single line of code

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• Improve the speed of implementation of the most popular ideas on the Ideas portal
• Support teams can be slow and some issues can take a long time to resolve
• Although documentation is generally good, new features are often under-documented or don't include real world examples.
• Arbitrary limits on some components can make things an unnecessary hassle

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• I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.

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• Restrictions are sometimes too strong

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The upcoming upgrades working with Genesys Cloud and Salesforce are very exciting. Even though we don't use Genesys Cloud to the fullest extent it can be used (we just migrated a year ago), when these upgrades roll out, I am very excited to see what it can do to for our agents. I think they are going to be very impressed

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Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. Action flow and dialog flow we are currently in chatbot.

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Everything is very good. It is very useful, friendly to users and it makes our work easier than what we expected. I think that I don't need any help from someone on how to use Genesys coz basically they will directly feed it to you without any hassle on using it.

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With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.

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Easy to setup, develop and deploy. The payload for the API is simple and has all the inputs required for simple projects. There are a good number of options of LLM models to optimize for speed, cost or quality of the answers. A larger token input might improve the overall usability.

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The platform is highly reliable, with minimal downtime or outages, and is generally available when needed. Over the course of using it, unplanned outages or application errors have been rare, and any issues that did arise were quickly resolved. Genesys provides robust support and maintenance, ensuring the system remains operational during critical business hours. However, like any cloud-based platform, there have been occasional disruptions, though these were infrequent and quickly addressed. Overall, its availability has been excellent, supporting smooth daily operations.

Overall, the platform performs well, with pages loading quickly and reports typically completing in a reasonable time, even with complex data. The interface is responsive, and most day-to-day tasks are executed efficiently. However, in some instances, especially during peak usage times or when running very detailed, large-scale reports, there can be slight delays. While these are rare, they occasionally affect workflow. Additionally, the platform generally integrates smoothly with other systems, though some integrations can slow down slightly, particularly when pulling large datasets or interacting with older, legacy systems. Nonetheless, the performance is strong and reliable for most use cases.

To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.

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Support does indeed resolve the issue but they seem to be really slow and I have to stay on them to get my ticket handled. Everyone I have interacted with is very professional and pleasant. Other than being slow its been a good experience

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We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).

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Genesys team that provide trainings are friendly and professional. They helped us to understand well the product and the functionalities. The training was detailed with use cases. At the end, we got a task to develop that ended with success and we got some Genesys rewards. It was amazing experience

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In general, it gives a description and can help to understand what to do and how. but: Sometimes, it does not keep up with changes in the system (for example, in the GUI changes, additional features and so on). Sometimes, much easier and helpful to read the documentation (https://help.mypurecloud.com/) that gives the "better" explanations and takes less time.

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Excellent course material.

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The first engineer that we had work with our team was not able to grasp our needs. However, Genesys Cloud CX quickly replaced that person with an overqualified engineer who joined our implementation team because he wanted to support our work.

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Overall the implementation was simple.

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I don't think it can even compare. Genesys Cloud CX is a whole different level. The biggest advantage was that Genesys cares about its customers, regardless of size; it listens to feedback, encourages customers to get involved with its roadmap, and provides so many educational resources to ensure you are well set for success after the implementation.

Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.

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Anthropic is only the best for coding and its really really expensive. So, if you're not making a coding app, I would stay away from it. On the other hand, Gemini models are dirt cheap but come with a bit of performance limitations, so i would use it for big volume non sofisticated use cases. The OpenAI API platform excels at providing best in class performance models, at not outrageous anthropic-like pricing.

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Genesys provides Licensing in 3 tier subscription types of licenses on top based on any business requirements then any sort of feature/functionality inclusion (or removal) is discussed openly. There are 2 types of billing models available which are "Named" and "Concurrent" based on the type of roles users will perform in Genesys Cloud CX environment (eg. Agent, Supervisor, Administrator, and Business Users) Also, the billing period/frequency starts on the actual day the platform is delivered.

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I give Genesys a rating of 10 for scalability because of its ability to adapt seamlessly to growing business needs, whether expanding across multiple departments, locations, or regions. Its cloud-based infrastructure allows for easy scaling without the need for costly hardware upgrades or lengthy implementation times. As our organisation grew, we were able to add new agents, channels, and features without disrupting operations, which significantly enhanced our flexibility. The platform's design supports both small-scale and enterprise-level operations, making it ideal for evolving businesses. Additionally, its capacity to handle increased interaction volumes without compromising performance ensures that customer service quality remains high, even during peak times. This flexibility and ease of scaling, combined with real-time analytics and automation capabilities, make it highly effective for growing organisations.

From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.

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Professional services are definitely much more experienced than the support teams, and the price for their services is very fair. I wish that the support team could help answer simple questions about work that the PSS team does, however, so that we do not have to use our SOW for simple Q&A emails.

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• For a product-based company like ours, we have existing Genesys customers who can use our product, as we have already integrated our product & solution into Genesys.
• By viewing Genesys as a contact center, we generate numerous ideas about what features need to be implemented.
• Genesys is the best choice for big, enterprise-level businesses as it can handle multiple calls simultaneously seamlessly.

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• By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
• Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.

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• Big question about functionality

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