AI Engineer at a transportation company with 10,001+ employees
Real User
Top 20
Sep 15, 2026
Better integration with other services can improve IBM watsonx Orchestrate. For example, integrating directly with Azure infrastructure, including AI services in Azure such as Data Factory in Azure and other data services, would be beneficial.
Senior Software Development Engineer & Ai ) Engineer at a outsourcing company with 5,001-10,000 employees
Real User
Top 20
Aug 26, 2026
The best things to improve about IBM watsonx Orchestrate are better debugging across multiple agent workflows. When several agents and tools collaborate, troubleshooting can get complicated. I would want an even clearer end-to-end trace showing exactly why agent A delegated to agent B, why a tool was selected, what context was passed, where latency occurred, and where the failure originated. IBM already has strong execution tracing, but this can always be more developer-friendly. I also want stronger automated evaluation and regression testing; every time I modify a prompt, model, tool description, or agent, I want to know whether I broke something else. 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. I also want more predictable agent routing; in multi-agent systems, two agents may have overlapping capabilities, so the orchestrator sometimes must infer which one is appropriate based on descriptions. IBM itself provides guidance on writing agent descriptions to improve routing accuracy, but I would want stronger routing controls, confidence scores, deterministic fallback rules, and easier visualization of why a particular agent was selected.
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...
Better integration with other services can improve IBM watsonx Orchestrate. For example, integrating directly with Azure infrastructure, including AI services in Azure such as Data Factory in Azure and other data services, would be beneficial.
The best things to improve about IBM watsonx Orchestrate are better debugging across multiple agent workflows. When several agents and tools collaborate, troubleshooting can get complicated. I would want an even clearer end-to-end trace showing exactly why agent A delegated to agent B, why a tool was selected, what context was passed, where latency occurred, and where the failure originated. IBM already has strong execution tracing, but this can always be more developer-friendly. I also want stronger automated evaluation and regression testing; every time I modify a prompt, model, tool description, or agent, I want to know whether I broke something else. 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. I also want more predictable agent routing; in multi-agent systems, two agents may have overlapping capabilities, so the orchestrator sometimes must infer which one is appropriate based on descriptions. IBM itself provides guidance on writing agent descriptions to improve routing accuracy, but I would want stronger routing controls, confidence scores, deterministic fallback rules, and easier visualization of why a particular agent was selected.