AI Strategy

The agentic AI market is set to expand dramatically, growing from $7.8 billion today to more than $52 billion by 2030. This nearly sevenfold increase in just five years marks one of the fastest-growing areas in enterprise technology. Yet, for business leaders, the critical question is not just about the market size but where to focus investments to gain the most value. Understanding the different segments within the agentic AI market helps companies make informed decisions ab

Nearly 80% of companies report no significant bottom-line impact from their investments in generative AI. This is a striking figure given the billions spent and the countless pilots launched. Despite the excitement around AI, four out of five organizations struggle to turn their AI efforts into real business value. So, what sets the successful 20% apart from the rest? After working with enterprises across various industries on AI strategy and implementation, clear patterns em

A recent survey revealed a striking statistic: 76% of executives now see agentic AI as a coworker rather than just a tool. This shift is more than a change in wording. It signals a new way organizations think about AI’s role in the workplace. This change affects how managers lead their teams and interact with AI systems. AI system collaborating with a human worker The Difference Between Tools and Coworkers Understanding the difference between tools and coworkers is essential

If you have worked in enterprise technology for over ten years, you likely remember the shift from monolithic applications to microservices. This change transformed how software systems are built, deployed, and scaled. Now, a similar transformation is underway in the world of AI agents, reshaping how organizations approach intelligent automation. The Limitations of Monolithic AI Early AI systems often followed a simple idea: create one powerful agent that can handle everythin