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
ServiceNow IT Service Management
Score 8.4 out of 10
N/A
Built on the ServiceNow Now Platform, the IT Service Management bundle provides an agent workspace with knowledge management, and modules supporting issue tracking and problem resolution, change, release and configuration management.
N/A
Pricing
IBM watsonx Orchestrate
ServiceNow IT Service Management
Editions & Modules
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
ITSM Standard
Custom Quote
ITSM Pro
Custom Quote
ITSM Enterprise
Custom Quote
Offerings
Pricing Offerings
IBM watsonx Orchestrate
ServiceNow IT Service Management
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.
ITSM Pro and ITSM Enterprise also are available with optional "Plus" add-ons. These include AI Agents, an AI Agent Studio, and other features that augment the capabilities of the platform using AI Virtual Agents to automate tasks.
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.
In our organization, we are using ServiceNow extensively. Change Management, Incident Management, Problem Management, Time tracking are few modules which we use extensively. This sort of model will work for any product or service based companies as the product is built on ITIL framework. So this product will be suited for small or large scale companies to better organize and add controls and track SLA's for technology or business process.
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.
When I have a number of requests to make, for example a request to add a dozen or so user accounts to more than one group account in Active Directory , I can put all the needed information into the initial form, add it to my "shopping cart" and all of that information remains on the screen for the next item for which I only need to edit a few items (like the AD group name in this example), and keep adding them to the shopping cart until I have them all. When I "Check Out" each of those items is generated as a separate task under the one request. It simplifies and expedites the creation and tracking of these kinds of requests.
I can easily and quickly see what tickets are currently assigned to me in order to prioritize them and remain aware of my workload.
Numerous fields for CIs can be used when trying to find the entry for a particular item. For example, IP Address, server name, raw text, classification, and so on.
To help with making sense out of related tasks, when a task is assigned to me and I need to open another task for a different team to work in order to complete my task, I can open a sub-task from my ticket so that the relationship between the two can be pulled up later into reports. For example, I may have a task to build a new vm, and need to open tasks for networking, security accounts, software installation and so on. By opening sub-tasks from my assignment, the time spent by all parties concerned is tied together for more meaningful cost accounting.
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.
It is hard to find areas for improvement, the tool is very powerful. That said, building the CMDB still involves some manual interaction which was not how it was presented in demos.
The CMDB data is almost too deep and detailed. When you build the relationship map it can be so large that it is overwhelming. You can limit this, but the default maps are massive if you are discovering lots of device classes.
The product is expensive. Since they are the leader in the industry and the product has tons of features, they definitely charge for it!
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.
To be completely honest setting up a new ticketing system can be a pain in the ass. Once you have it setup and customized the way you want it, you don't want to switch unless you're unhappy with the product. Unless future releases and updates really muck the system up, I wouldn't change.
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.
The dashboard is so confusing, [there are] many clicks to open a task and search by a ticket. The Enterprise customisation [we did] has finished to kill the software and creates a really bad experience on a daily basis. [It is] So slow, and so many clicks to process a ticket. Works only on IE so, that [should] make you realize that [it] is a bad idea.
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!).
I would give it this rating because we have had no major issues with the support for ServiceNow after we implemented it at our organization. They seem to respond promptly and efficiently if we ever do need to open a support case with them about an issue we are having.
To type in what should be a text box, you have to click an empty cell, a tiny text box pop up opens with a check box and an X. You the. Type in the text box and have to click the check mark. If you have a bunch of fields to fill out, doing this is very annoying. Absolutely know thought went in to this. I'm sure somebody in marketing thought it was a good idea. It wasn't.
Without exception, every client I have worked with has been very happy with their resulting product. While this is partly due to my work, I must point out that the platform is the winning decision, not the implementer.
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.
We used to use Jira to handle service tickets but it's way too robust for something this straightforward. Due to the nature of Jira, you needed to already have a lot of documentation and knowledge about who should be assigned the ticket, so the lift of creating a ticket was time consuming.
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.
Overall ServiceNow has a positive impact on getting the SLA of tickets down in supporting our customers.
One negative impact has been the amount of time to get the product to produce an ROI, it's almost too big to fail and too big to replace. You almost become committed to the product. Good or bad.
Another negative impact would be if you track metrics of employees and time tracking, there is a lot of scenarios where engineers will track time on tickets but not get credit for closing them as the assignee function of tickets can only be tied to one user and credits only the engineer who closes the ticket.
Another positive impact would be the level of security for permissions and scaling the workloads is robust and you will get out of the system what your team is willing to put in.
