Chris Dumas

We've never walked into a company that was ready for AI. Here's why foundation work comes first and how to build the operational excellence that makes AI successful.

Most AI projects fail—not because the tools are broken, but because the data is. Here’s why AI readiness starts with clean, organized infrastructure.

AI can be a powerful sales engine—or a trust-killer. Explore how smart sales teams are using AI to drive revenue with precision, personalization, and real buyer insight.

Every business strives to do more with less—more productivity, less wasted time; more efficiency, less bottlenecks. But achieving operational efficiency is often easier said than done. Manual processes can be slow, error-prone, and frustrating for employees.

Artificial intelligence has the potential to revolutionize industries, yet studies show that up to 70% of AI projects fail to achieve their goals. Why? The problem often isn’t the technology itself—it’s the lack of alignment, strategy, and execution.

Artificial intelligence is transforming industries and redefining how businesses operate. From automating repetitive tasks to uncovering new revenue opportunities, the potential of AI is undeniable. Yet, many companies dive into AI adoption without a critical question: Are we ready for this?