Artificial intelligence can lead organizations to struggle with “AI agent sprawl,” where numerous agents operate in silos across different departments like HR and sales, hampering meaningful enterprise-wide value. Despite initial success, companies often hesitate to expand AI’s scope due to concerns over trust, hallucinations, and bias. This fragmentation limits agents’ collaboration and can stall workflows requiring input from multiple functions, resulting in inefficient manual interventions.
To resolve AI sprawl, organizations must foster a dependable environment through strong data foundations and comprehensive data governance. This includes policies for data security and quality, as well as governance for AI agent behavior. Additionally, orchestration is crucial for coordinating agent interactions and ensuring efficient workflow management.
Collaborating with a partner like IBM can help address these challenges, enabling businesses to transform their AI agents into powerful productivity engines by integrating governance, data, and workflows effectively. Discover how enterprises can enhance productivity through trusted AI systems.
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