IBM aims to streamline AI agent deployment in enterprise settings
IBM is introducing tools to simplify the creation and management of AI agents, which are expected to power a surge in generative AI applications.
IBM is addressing the challenges enterprises face in implementing AI by introducing new technologies aimed at simplifying the design, management, and orchestration of AI agents. These tools were announced at IBM's annual Think Conference in Boston.
Key Announcements
- AI Agent Capabilities: IBM is rolling out a suite of agent capabilities in watsonx Orchestrate, a platform designed to manage and automate AI agent activity. The platform integrates with over 80 enterprise applications, including those from Adobe, Microsoft, Oracle, and Salesforce.
- Pre-built Agents: IBM is offering pre-built agents for specific business functions, starting with HR, sales, and procurement. Additional domains like customer care and finance will be added in the coming months.
- Agent Catalog: The new Agent Catalog in watsonx Orchestrate provides access to over 150 agents and pre-built tools from IBM and partners such as Box, MasterCard, and ServiceNow.
- Agent Builder Tool: Launching in June, this tool will enable customers to build custom AI agents in under five minutes.
- Multi-agent Orchestration: Advanced capabilities will allow AI agents to collaborate, sharing information and tackling complex, multi-step processes together.
Monitoring and Integration
IBM is also introducing tools to monitor AI performance and reliability, as well as scale AI resources. These include:
- Tools for evaluating and selecting AI models based on goals like cost-efficiency or performance.
- AI governance capabilities to manage accuracy, performance, and risk.
- webMethods Hybrid Integration, a platform that automates the integration of applications, APIs, and data across hybrid environments.
Partnerships and Collaborations
IBM announced several partnerships to enhance its AI offerings:
- Amazon Q Index: Integration with IBM watsonx Orchestrate to create a central data repository for enterprise data sources.
- Lumen: Collaboration to develop AI applications at the edge by combining IBM's AI portfolio with Lumen's Edge Cloud infrastructure.
- GPU Partnerships: IBM is expanding its partnerships with AMD and Nvidia to support compute-intensive AI workloads. The AMD Instinct MI300X GPU is now available on IBM Cloud, and IBM is using Nvidia GB200 NVL72 rack-scale systems for its Granite foundation models.
CEO's Perspective
IBM CEO Arvind Krishna highlighted the growing demand for AI solutions, noting that enterprises expect to double their AI investments. However, only about 25% of these investments are delivering the expected ROI, often due to fragmented infrastructure and siloed applications.
Democratizing AI
Ritika Gunnar, IBM's General Manager of Product Management for Data and AI, emphasized that AI agents will lower the barrier to accessing AI's power. "By enabling interaction through conversational interfaces, users can simply state their goals—while networks of agents take on the necessary actions across backend systems," she wrote in a blog post.
Future Outlook
IBM's new tools and partnerships aim to address the complexities of AI implementation, helping enterprises unlock the full potential of generative AI. With over a billion new AI applications expected in the coming years, IBM is positioning itself as a key player in the AI revolution.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.