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In terms of cost, we participated in projects achieving two to three million dollars in annual savings.
As a return on investment, we have achieved a 250% ROI in six to nine months, and sometimes it increases up to 380% percent.
Automation Anywhere has helped us save money.
For some workflows, we have saved several hours of manual work each week and reduced the turnaround times by roughly 30 to 40%, which has made the investment easier to justify.
Ninety-five percent of AI projects fail to get ROI because of the cost.
The return on investment I have seen includes a reduction in time.
By replacing multiple legacy systems and teams with a single automated platform, organizations see significant cost savings and improved business operations.
For main recipes, there are charges, so by focusing on creating as many callable recipes as possible based on requirements, we can improve cost efficiency for the business.
In my experience, we have seen a return on investment, with results visible within a week.
Whenever we need help, we can reach out to them, and they help us out.
We also have dedicated account managers and technical experts to solve our problems related to Automation Anywhere.
We just have to raise a ticket, after which we receive a call, email, or ping from the Automation Anywhere team.
The customer support for IBM watsonx Orchestrate is very quick and extremely good.
Providing a final solution can take many days compared to any others.
The support was helpful, and since we were partners, we could schedule meetings with IBM to resolve issues.
Whenever we faced issues with data volume, the support team helped us by suggesting solutions like breaking the data into chunks.
I reach out to the professional services team or customer success team for technical support, and they provide immediate responses.
Workato's support is robust, featuring first and second-level support.
As we are using Microsoft Copilot for our AI agents, I look forward to integrating it with Automation Anywhere and its solutions, seeing it as a beneficial partnership as Automation progresses toward AI as the main solution.
The centralized control room allows us to orchestrate and manage bots seamlessly.
I can scale it in terms of hundreds of bots and configure hundreds of parallel robots easily.
It handles increased workflow volume well, although scaling complex integration still requires careful capacity planning, monitoring, and testing.
IBM watsonx Orchestrate's scalability scales fully automatically and can scale up also with different clouds.
IBM watsonx Orchestrate offers good scalability, supporting multiple agent workflows and integrations without significant performance issues.
There are scalability limitations with Workato.
Allows dynamic connection switching at runtime.
Even when clients overutilize the product, Workato allows them to continue without interruption, charging accordingly rather than limiting usage.
With the latest applications, there are no significant issues like freezing or crashing.
From a stability and reliability perspective, we can remain confident that the product performs as an enterprise solution and meets expected standards.
If you have good best practices, reusable code, an effective framework, and a solid development methodology, bots can be very stable.
Overall, we have found IBM watsonx Orchestrate to be stable for our production workflows over the past year.
I think the stability of the product is good, as it is quite stable and does not usually have glitches, latency problems, or bugs.
What stood out regarding stability is that sometimes it took so long for a response.
Once deployed, solutions do not break, making it more reliable than other solutions like Microsoft Power Automate that often disconnect.
During the initial data loads with large volumes, Workato was unable to handle the data effectively, which indicates stability issues under high loads.
To handle more than 50,000 records, I use scripting actions like Python or JavaScript to process large data in chunks.
It is better to write a Python script instead of using Automation Anywhere's package when dealing with Excel because it is buggy and tends to break.
Making the product more lightweight by reducing its dependency on infrastructure could greatly help in the long run.
It would be beneficial if the platform provided options for power developers to integrate seamlessly with languages like Java or C#, allowing them to write their own scripts and code.
IBM introduced AgentOps and simulated user evaluations, but I would expand that further with easier CI/CD style regression suites and business-specific KPIs such as task completion, routing accuracy, hallucination rate, and tool call success.
IBM watsonx Orchestrate could be improved by addressing issues related to variables, as some agents can have certain variables which may not get the transparency needed for developers to know if they are working effectively when sent to a collaborator agent.
Integrating directly with Azure infrastructure, including AI services in Azure such as Data Factory in Azure and other data services, would be beneficial.
The team is actively working on customizing the platform per client requirements and is rapidly releasing features to address these limitations.
Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads.
One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub for easier deployment.
It is more cost-efficient compared to all other RPA platforms.
Automation Anywhere costs are aligned with UiPath and Blue Prism, which are also expensive.
It is not cheap, with costs ranging between 700 to 800 dollars per month.
My experience with pricing, setup cost, and licensing for IBM watsonx Orchestrate reveals that it is expensive.
My experience with pricing, setup cost, and licensing for IBM watsonx Orchestrate reflects that the pricing felt reasonable for an enterprise platform, but the overall cost depends quite a bit on usage, integration, and the scale of deployment.
Personally, I would say it would be nicer if it could be cheaper because I was working on a hackathon project and I kept running out of credits.
Higher volume is less expensive, but in general, it is kind of pricey.
While the upfront cost is high due to task-based pricing, the cost is relatively low in terms of development because Workato provides necessary connectors for integration use cases.
Compared to other iPaaS solutions like Boomi, Workato’s pricing model charges per connection step, which increases the cost.
I can set it up to provide users with a form to fill in all required information, and then the bot operates based on those specifications.
For example, the email module has been enhanced over the years to support all the latest authentication technologies. That is very important as we move away from username and password and embrace multi-factor authentication.
Automation Anywhere has undergone drastic changes over the past five years, transitioning from version 10 to A360, including desktop-based and cloud-based options.
IBM watsonx Orchestrate helped my team move from building every AI workflow from scratch to using reusable agents, tools, and integrations; this meant APIs, authentication logic, knowledge sources, and business actions could be packaged once and then reused across multiple use cases instead of being built for each assistant.
IBM watsonx Orchestrate has positively impacted my organization by providing ease of implementation, configuration, and integration, making it very easy and possibly beneficial for the team.
In the development of these agents, I found the ability to connect LangChain and LangFlow to be definitely the most useful and innovative feature of IBM watsonx Orchestrate.
It allows app-to-app and real-time integrations, which significantly enhance process efficiency.
It comes with pre-built connectors, eliminating the need to write APIs.
The platform's ease of use for connecting to different integrations, like Salesforce and NetSuite, is very beneficial because development isn't necessary, and everything is readily available.

| Company Size | Count |
|---|---|
| Small Business | 162 |
| Midsize Enterprise | 86 |
| Large Enterprise | 565 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 6 |
| Large Enterprise | 7 |
Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.
Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.
What are the important features of Automation Anywhere?
What benefits should be evaluated in reviews?
In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.
IBM watsonx Orchestrate is an AI-powered solution designed to automate complex workflows across businesses, integrating seamlessly with existing systems to increase operational efficiency.
IBM watsonx Orchestrate leverages cutting-edge artificial intelligence technology, enabling businesses to streamline processes by automating repetitive tasks and freeing up human resources for more strategic work. It prioritizes ease of integration, allowing rapid deployment within existing IT infrastructures. IBM watsonx Orchestrate is recognized for its robust performance in handling large-scale workflows efficiently, providing consistent, reliable outputs that enhance productivity across departments.
What are the key features of IBM watsonx Orchestrate?
What benefits does IBM watsonx Orchestrate offer?
Implementation of IBM watsonx Orchestrate in industries like healthcare, finance, and manufacturing highlights its versatility. In healthcare, it automates patient data handling for quick access to medical records, while in finance, it streamlines transaction processing, and in manufacturing, it enhances supply chain management efficiency.
Workato excels in integration and automation with features like a drag-and-drop interface and extensive connectors for cloud applications, boosting productivity.
Workato's platform is designed for seamless enterprise integration, utilizing AI automation for simplified development. Non-technical staff benefit from its user-friendly, low-code/no-code setup, allowing efficient workflow creation. The extensive pre-built connectors facilitate connection with applications such as Salesforce and SAP, reducing manual tasks and optimizing automation processes. Although improvements are needed in customization and code-friendly features, its robust integration capability makes it a valuable tool.
What key features does Workato offer?In industries such as finance, technology, and healthcare, Workato facilitates integration and process automation across platforms. It's commonly used for onboarding, financial transactions, and data synchronization, leveraging pre-built connectors for streamlined operations. Enterprises in these sectors achieve greater productivity and data interaction.
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