Customer service departments today are no longer asking whether to implement AI, but which process to automate first. Industry forecasts point to $80 billion in labor cost savings, yet only 20% of organizations have actually reduced headcount. Most companies are reallocating employees from repetitive tasks to work that requires judgment and decision-making. This article presents five proven implementation scenarios. ...

Shadow AI is a growing headache for companies trying to keep track of their own data. This article shows how it happens inside organizations and what to do about it, short of banning AI altogether. ...

AI assistant, autonomous AI agent, or workflow-based AI agent – what sets them apart and which one fits your organization in 2026? Explore the differences, use cases, and practical guidance to make the right call. ...

Reports from RAND and MIT indicate that as many as 80–95% of AI projects fail to deliver tangible profits. The key to success lies not in better technology, but in shifting from IT tool implementation to process transformation through the Technology-Enabled Service model. We reveal how to avoid structural pitfalls and deliver measurable business outcomes instead of more "dead" pilots. ...

It is no coincidence that OpenAI and Google have launched visual AI agent builders. They are moving into a space where simple conversation with an AI assistant is no longer enough. Companies need AI agents that operate within controlled procedures, execute tasks according to established processes, and deliver measurable business value. ...

Generative Artificial Intelligence (GenAI) is emerging as a revolutionary tool in the business world, opening up new possibilities in content creation, automation, and data analysis. ...