IBM watsonx Orchestrate SaaS - AI Agent Orchestration on AWS

I had an idea and conducted research from scratch on the features of the application I wanted to create and how the workflow would look. I started with IBM watsonx Orchestrate and used the idea feature to brainstorm. IBM watsonx Orchestrate stores the workflow inside the developing tool, so my workflow was being saved and documented.

Once I was ready to start programming, I worked off the previously completed idea workflow or idea page, step-by-step. Step one involved implementing IBM watsonx Orchestrate, which meant going through the prompts. It reads the prompt and then collects certain information from the prompt and organizes the information into JSON, which I would then use on the next step of the application.

The favorite feature that stood out for me was the ideation page. The page does not only store your ideas or give it a written form, but it is also a part of the project. Whenever I had an issue, I wanted to document the issues and the solution that was used to solve those issues.

Every single problem was documented on that document entirely. It was a whole document, basically a whole bible, from the genesis of the idea, then the issues that we came across, the solutions we used to solve them, and all the way to the completion. I find that this is not something I have seen anywhere before when it comes to developing tools. That was really nice to have and that stood out for me.

I have been using it for a month overall because I only used it for a hackathon. The hackathon was a month.

What stood out regarding stability is that sometimes it took so long for a response. I am not sure, but it did respond at the end of the day. It just took maybe it was hanging or something, but I did not get any crashes.

It is definitely scalable.

Other than Visual Studio, Visual Studio does not have, I guess it does have some AI assistance, but not something entirely focused in the way that IBM watsonx Orchestrate is.

The initial setup for me was fairly easy because I am already in the field of IT and programming. However, I would say it could be easier for other individuals, but for me, it was easy.

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. Although the hackathon told us we could use different emails to finish the project, I did subscribe at some point, but I feel it would be nicer if it could be cheaper.

It did not require any maintenance from my end.

Considering my use case of collecting the key information, how that information is being used or where it is going would also be concerning. For my use case, it is not really much of a security issue because it is not personal information I am collecting.

Because of how much I really appreciated being able to keep track of my workflow and everything, I would rate it between an eight or a nine. I would say nine.

I work on AI agents that we build and deploy on IBM platform. I was mostly working on deploying agents on IBM watsonx Orchestrate by creating different agents and orchestrating them to one main agent, then deploying it on IBM watsonx Orchestrate. The primary work involved testing the agent on IBM platform. The solution functions as an AI chatbot with a chat interface where the deployed agents can answer questions. Users can ask questions to each individual agent or ask the main orchestrator agent to route the questions through different sub-agents and provide answers.

I would rate the improvements to the organization between 60 to 70. IBM watsonx Orchestrate saves a considerable amount of time by automating processes. For example, if I need to search through many products for a company, having an automated IBM watsonx Orchestrate solution would allow me to search whatever I want using the chat interface. This would save significant time for inventory checks and other product-related queries. As a business owner, I believe I could save a substantial amount of time by implementing this solution.

The best aspect of IBM watsonx Orchestrate is how accessible and easy it is for any consumer to use. I have worked with different tools including Microsoft and other IBM products. IBM watsonx Orchestrate is much easier for anyone, whether a developer or a consumer, to understand and use without prior knowledge compared to other platforms.

The no-code functionality works well for developing simple agents. However, for building a complete product with automation, orchestration, and AI agents, the no-code approach has limitations. To develop a full-fledged project and product, the code-based approach where you code, deploy, connect, and automate using IBM watsonx Orchestrate produces a much better product than the no-code option.

I have integrated with Jira and other products. While integration is possible, it is not particularly easy. The integration of solutions including Jira, ticketing systems, mail systems, and SMTP could be improved and made much easier.

Since IBM watsonx Orchestrate is an agentic AI platform for orchestrating and building AI agents and automating workflows for different products, real-world implementation would benefit from easier integration with different solutions. Integration is currently possible, but the process could be simplified so connections across different solutions are more straightforward.

I have been working for a year with IBM watsonx Orchestrate and related tools.

I would rate the stability at seven.

IBM watsonx Orchestrate is a scalable solution with room for improvement. We have built products for different clients using IBM watsonx Orchestrate that they continue to use, and I believe it is scalable. However, the chat interface functionality, how it currently operates, and the response time for the AI chat could be improved. The response time in particular could be enhanced.

I would rate the technical support from IBM around seven. Some of the support I needed was not provided in time, though it was eventually provided. I had to follow up multiple times with customer support. The support was helpful, and since we were partners, we could schedule meetings with IBM to resolve issues. However, these resolutions took considerable time, so I would rate the customer service between six to seven.

I have worked with different tools while building AI agents, including Microsoft and other platforms. I felt IBM watsonx Orchestrate is at the forefront in providing easy access for developers to create agents. Since everything is moving towards agentic AI solutions, IBM has been working in this direction along with other companies. IBM watsonx Orchestrate makes it easier for people to build agents on their own when they have access to it and their company partners with IBM for development.

To my knowledge, approximately 20 people are familiarized with IBM watsonx Orchestrate, and many people have completed certifications on IBM watsonx Orchestrate and other IBM watsonx tools. The hands-on experience, as far as I am aware, extends to about 20 to 30 people. In India, where I worked, approximately 20 to 30 people in my office were familiarized with and know how to work with the product.

I would recommend IBM watsonx Orchestrate to other users. As a business owner, I believe it would save considerable time compared to manual processes. It is easy to use and user-friendly, allowing anyone without prior knowledge to understand and use it quickly. The reason I would hesitate to recommend it is that the integration with different solutions is complicated. On a scale from 1 to 10, I would rate the solution itself at eight, though it could be improved in different areas.

The main use case for IBM watsonx Orchestrate is to create AI agents, helping students build AI agentic workflows for various domain tasks, automating their tasks, and streamlining business workflows, while guiding them through the design, development, and integration of these AI agents into practical real-world solutions across multiple domains.

One project that stands out involved helping a group of students design an AI-powered customer support agent using IBM watsonx Orchestrate, which assists in understanding customer questions, retrieving relevant information from the knowledge base, providing appropriate responses, and escalating complex issues while seeing them transition from understanding basic concepts to building functional prototypes.

The biggest challenge my students faced when building the customer support agent was getting the agents to understand the user's requests and connecting the right tools to execute tasks accurately, especially since they were new to AI agents. IBM watsonx Orchestrate helped simplify agent development through a visual interface and built-in tools.

I use IBM watsonx Orchestrate for various purposes beyond just one use case, including helping students understand how to apply agentic AI to real-world business challenges, from idea generation to integration and testing of solutions, while also demonstrating how multiple AI agents and tools can work together, and noting areas for improvement in documentation and onboarding for beginners.

My experience with the Agent Development Kit (ADK) involves helping developers extend IBM watsonx Orchestrate's capabilities by creating custom tools and integrating external APIs, such as connecting a customer support agent to a knowledge base for information retrieval.

IBM watsonx Orchestrate positively impacts my organization by enhancing collaboration with my consulting company, and aiding in training learners to build practical AI solutions while reducing technical barriers for beginners and making coaching sessions more hands-on.

We have seen significant outcomes from our programs, particularly in how students from diverse backgrounds who once had no coding experience were able to complete projects within the ten-week program, leading to expansion beyond the United States due to increased excitement and participation.

The best features of IBM watsonx Orchestrate include its ability to build and manage AI agents with minimal coding, offering no-code agent builders and templates that simplify the process for beginners, along with a visual workflow builder that facilitates the design of agentic workflows and supports multi-agent collaborations.

My students primarily rely on the visual workflow builder and low-code agent development capabilities because they enable them to visually design workflows, configure tools, and test agent interactions without writing extensive code, which is crucial for understanding agentic AI logic and building working prototypes.

IBM watsonx Orchestrate provides strong governance and security capabilities for enterprise AI apps, featuring role-based access controls, data protection, and integration with enterprise security policies that help manage how AI agents access information and execute tasks.

The no-code capabilities in IBM watsonx Orchestrate allow users with limited programming experience to build AI agents tailored to their specific needs, such as designing customer support agents and creating workflows to handle repetitive tasks and respond to user requests.

IBM watsonx Orchestrate can be improved in three key areas: documentation with more practical examples, better debugging tools to identify issues, and a more beginner-friendly onboarding experience to enhance user interaction.

I have been using IBM watsonx Orchestrate for a year and a half as an AI coach and consultant with IBM's SkillsBuild in partnership with IBM, where we organize cohorts for students all over the country and help them utilize some of the IBM toolkits.

IBM watsonx Orchestrate is stable.

IBM watsonx Orchestrate offers good scalability, supporting multiple agent workflows and integrations without significant performance issues, which is beneficial for concurrent projects across various student teams.

I have seen a positive return on investment through time savings, faster development, and reduced technical complexities, particularly as I coach an increasing number of teams and observe students quickly transitioning from learning AI concepts to developing functional prototypes.

Because my use of IBM watsonx Orchestrate is part of a collaboration with IBM, I have not incurred any costs for pricing, setup, or licensing.

I would rate IBM watsonx Orchestrate a seven out of ten.

I choose a seven because it is a powerful platform for building and deploying AI agents, offering low-code capabilities and strong support for agentic workflows, but it still requires improvements in documentation, debugging, and onboarding.

Although IBM watsonx Orchestrate generally produces reliable results, I would rate its accuracy a seven, noting that the output quality can vary depending on the AI model and configurations, as agents may misinterpret requests or provide incomplete responses.

We primarily utilize IBM watsonx Orchestrate through IBM's public cloud environment, enabling students to access the platform via cloud-based accounts to build, test, and deploy AI agents without managing underlying infrastructures.

When orchestrating workflows across hybrid cloud and on-premises systems, the key technical aspects are secure connectivity, API integration, and authentication, as well as managing data flow between environments, such as using Amazon S3 for storage and AWS Lambda for executing serverless functions.

My approach to maintaining enterprise-grade security and governance for AI agent operations focuses on access control, data security, monitoring, and human oversight, utilizing mechanisms like role-based access control to govern how agents operate and restrict their access to authorized data and actions.

I ensure real-time observability of AI agent performance by tracking agent execution, monitoring tool calls, and evaluating response quality, particularly by reviewing logs and workflow behavior to understand challenges faced by the agents.

I would advise others looking into using IBM watsonx Orchestrate that it is a fantastic tool to start with, offering a great skill-building experience as it helps users understand agentic workflows, prototype ideas, and create both basic and complex AI solutions.