A Chat With Joe Crist, CEO Of Transform 42 Inc. On Why Persistent AI Will Split Business Into Two Worlds

What is “persistent and collaborative AI,” and how does it differ from what most businesses use today?

Most companies interact with AI the way they’d use a search engine – ask a question, get an answer, close the tab. Persistent AI is fundamentally different. It remembers. It maintains context across days, weeks, and months. It works alongside your team continuously – managing cybersecurity monitoring, handling IT workflows, optimizing business processes, and learning your operations as it goes. Collaborative AI takes this further: multiple agents coordinating with each other and with humans, handing off tasks the way a well-run team would. We’re moving from AI as a tool to AI as a coworker.

Why do you call this a “coming storm”?

Because the capability gap it creates isn’t linear – it’s exponential. A company using persistent AI doesn’t just save a few hours a week. It fundamentally operates at a different clock speed. Their managed IT services respond before tickets are filed. Their digital transformation roadmap adjusts in real time. Their client communications go out faster, more personalized, and more informed than anything a traditional team can produce. When one company in a market crosses that threshold and their competitors haven’t, the gap becomes visible almost overnight.

What does this divide actually look like in practice?

Picture two IT consulting firms competing for the same client. One uses AI to draft proposals, and that’s about it. The other has persistent AI that already knows every past interaction with that prospect, has monitored their public tech stack, identified compliance gaps relevant to their industry, and drafted a tailored pitch before the meeting even starts. It’s not a fair fight anymore. That’s the divide – not between companies that “use AI” and those that don’t, but between companies where AI is embedded in every business process and companies that treat it as a novelty.
 

Which industries will feel this most acutely?

Professional services will be the first domino. Accounting firms, law practices, healthcare providers – any industry where knowledge work, compliance, and client relationships drive revenue. These are fields drowning in complexity: evolving regulations, cloud migration decisions, cybersecurity threats that change weekly. Persistent AI thrives in complexity. It doesn’t forget a regulation change from three months ago. It doesn’t lose the thread between a Monday meeting and a Friday follow-up. For managed services providers especially, the firms that embed collaborative AI into their operations will deliver a client experience that traditional providers simply cannot match.

What should businesses do right now to prepare?

Stop thinking about AI adoption as a technology project. It’s an operational transformation. Start by identifying your highest-value repeatable workflows – lead follow-up, client onboarding, compliance monitoring, reporting – and ask which of these could run continuously with AI collaboration instead of in sporadic human bursts. Then invest in AI systems that persist: ones that maintain context, learn from your data over time, and integrate deeply with your existing platforms like your CRM, communication tools, and cloud infrastructure.

What’s the biggest mistake you see companies making?

Waiting for perfect. They pilot a chatbot, decide AI “isn’t there yet,” and shelve it. Meanwhile, their competitors are building institutional AI knowledge – months of context, refined processes, trained workflows – that compounds daily. Persistent AI rewards early adopters disproportionately because the value isn’t in the software; it’s in the accumulated intelligence. Every day you wait, you’re not standing still. You’re falling behind someone whose AI has been learning for months longer than yours.

Where does this end up in five years?

The companies that adopt persistent, collaborative AI won’t just be more efficient – they’ll be structurally different organizations. Leaner teams delivering more value. Faster decisions grounded in deeper analysis. The businesses that resist will find themselves competing against firms that operate with capabilities they can’t replicate by simply hiring more people. This isn’t a technology trend. It’s a permanent fork in the road.