IBM® watsonx™ Orchestrate® leverages AI to automate complex workflows. The solution helps build, deploy, and manage AI assistants and agents. It offers a catalogue of pre-built agents and tools, low-code agent builder, multi-agent collaboration capabilities, and integrations with enterprise apps.
$500
per month
x.ai
Score 9.4 out of 10
N/A
x.ai is an artificial intelligence-based scheduling platform from the New York headquartered company of the same name.
N/A
Pricing
IBM watsonx Orchestrate
x.ai
Editions & Modules
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
No answers on this topic
Offerings
Pricing Offerings
IBM watsonx Orchestrate
x.ai
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
IBM watsonx Orchestrate can be deployed and run on IBM Cloud, AWS, or on-premises. Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
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.
X.ai is very well suited for a departmental type use where Amy has access to everyone's calendar. It is a requirement that people keep their calendars up to date and live by them. Otherwise Amy might think that you are free when you have a flight booked or are on vacation. She is extremely good for those times when a prospect agrees to talk to you at a conference. I just send them a quick email, cc Amy and tell her to set up a call, and it magically shows up on my calendar!
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.
x.ai makes it easy to initiate, schedule, and manage meetings with internal and external constituents. Especially in the case of internal constituents, scheduling is almost instantaneous on the team plan because the AI can see the available/busy schedules for anyone in our G Suite domain and schedule meetings based on my preferences and the other person's availability.
The calendar function makes it easy for me to share a limited calendar with others so that they can automatically schedule a meeting with me without having to go back and forth.
The customer service team at x.ai is stellar. They are kind, quick to respond, and typically resolve cases on the first try. They are also incredibly receptive to feedback and new ideas that often get incorporated into the product.
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.
One person mentioned that the zoom link isn't easy to open from the calendar appointment
Some people have been confused by using the names "Amy" or "Andrew", not realizing these are AI bots. So, I now use the "X.ai scheduler" to avoid confusion
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.
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.
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.
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!).
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.
Heard about Claralabs AI assistant from friends using this service. But I found x.ai to be suited for my requirements. Claralabs is also good but when it comes to pricing and ROI, x.ai is better.
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.
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.
