What Are We Buying When We Buy AI?
An impressive AI demo is only the tip of the iceberg. Behind it sit data, integrations, security, costs and ongoing operations. Here are eight layers businesses should understand before investing.
AI Didn’t Just Arrive
AI has been part of contact centres for years. What has changed is its ability to understand, generate and act. A practical look at the evolution of AI in CCaaS, the rise of agentic AI and how buyers can separate real progress from AI washing.
The AI Productivity Paradox in the Contact Centre
AI is improving contact centre productivity, but as automation handles routine enquiries, agents are left with more complex work. Are traditional metrics such as AHT still telling us the full story?
AI With a Purpose: Are We Using the Right AI for the Right Problem?
AI is everywhere, but using more AI doesn't automatically improve outcomes. The real challenge is matching the right type of AI to the right business problem, while considering customer experience, risk, governance and the role of people.
What Is AI, Really?
AI is often treated as if it were one technology. In reality, it is a combination of data, models, context, enterprise knowledge, tools, workflows and governance working together. This article breaks down the pieces and explains what businesses are actually buying when they invest in AI.