Scaling AI To The Enterprise
Techstrong.ai, Friday, March 27th, 2026
For much of last year, if you followed the news, watched YouTube or scrolled X, your only conclusion would have been that agentic AI had fully arrived, and you were miles behind the competition. The well-crafted, happy path demos really did a disservice to leaders by setting unrealistic expectations as to what was possible with AI and what could be safely rolled out to production.
This misperception was compounded by the fact that access to tools such as ChatGPT and Gemini further drives a narrative that all that's needed to build applications or solve complex problems is a simple prompt. However, what's missing from this narrative is the operational reality. Most of these influencers have little experience with what is required to run, scale, secure and govern enterprise software. Building applications for a few people is substantially less complex and risky than deploying systems at enterprise scale.