AI

The AI revolution isn’t coming…it’s here. Nearly half of small and medium-sized businesses are already using artificial intelligence (with the majority reporting measurable financial savings).  However, most SMBs are just scratching the surface of what’s possible. Headlines focus on AI replacing jobs, but smart business leaders are finding something different. AI isn’t about elimination—it’s about […]

Using AI in your small business isn’t just about implementing the latest large language model (LLM) and calling it good enough. Almost half of all SMBs have started using AI, but over 80% of these AI projects eventually fail.  That’s not a problem with the technology, though—it’s an issue with the approach.  Companies jump straight

AI implementation failures have more to do with the preparation than the technology. Companies excited by AI’s potential skip the foundation work, deploy tools on unstable infrastructure, and wonder why their expensive AI investment delivers disappointing results. Unpreparedness costs more than just failed projects: Poor infrastructure leads to performance issues that frustrate users.  Inadequate security

“Do we really need AI?” It’s the question keeping small business owners up at night. You’ve seen the headlines about AI transforming industries, watched competitors talk about their “AI strategies,” and received countless vendor pitches promising revolutionary results.  But between the hype and your daily operational reality lies a nagging uncertainty: is AI actually necessary

In today’s rapidly evolving business landscape, artificial intelligence has transitioned from a future technology to a present-day competitive necessity for small and medium-sized businesses (SMBs). Recent surveys indicate that 42% of SMBs are already using AI, with over half seeing financial savings as a result. By 2025, nearly one-third of small businesses plan to prioritize