In today’s rapidly evolving landscape, AI agents are reshaping business operations and value creation. However, with numerous vendors claiming to offer AI solutions, it can be challenging to discern their true capabilities. Instead of merely focusing on automating existing tasks, organizations should aim to identify and maximize their total potential value. The SPAR framework—sensing, planning, ...
Businesses are rapidly adopting agentic AI, enhancing their ability to deliver value quickly through digital labor. According to the 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital, 93% of IT leaders plan to implement autonomous AI agents in the next two years, with nearly half already on board. However, challenges like data silos and ...
This article explores the transition from using a single AI agent to a multi-agent system for more complex tasks. Initially, a single agent can handle functions like data retrieval and analysis, but as tasks grow in complexity, it can become overwhelmed. Transitioning to multiple specialized agents allows for improved clarity, performance, and adaptability. The article ...
Transform your e-commerce business by joining the AI Agents for eCom Summit, an exciting free online event from January 28-30, 2025. Learn from top industry experts how to leverage AI for automation, smarter savings, and increased sales. Discover practical strategies for integrating AI agents into your business, whether you sell online courses or operate a ...
Imagine leading a large company, struggling with operational challenges and inefficiencies. Now, picture a future where productivity doubles, costs decrease, and customer satisfaction skyrockets—all thanks to AI agents. While recent advancements in AI have shown great promise, many businesses face confusion due to exaggerated claims about current capabilities. This guide offers a realistic view of ...
A recent survey by Tray.ai reveals that many enterprises plan to embrace AI agents in the coming year, despite concerns over security and governance. Over 40% aim to create more than 100 AI prototypes, with most organizations expecting to spend at least $500,000 annually on this initiative. Key focuses include improving IT service desks, data ...
