AI in Business: The Good, The Bad, and The Great | Innovated Studios

By Brad Ritti, Founder & CEO, Innovated Studios

AI keeps coming up in every conversation I have. Dinners, conferences, contract negotiations. The reactions tell me more about this industry than any report ever could.

AI keeps coming up in every conversation I have. Industry events. Dinners with friends. Client meetings. It's even showing up in contract language now. And the reactions tell me more about this industry than any report ever could.

This isn't about one conversation. It's a pattern. Over the past year, I've talked to dozens of people I respect. Executives at major software companies. Technology consultants. Industry peers. And the moment AI comes up, something shifts. The conversation stops being professional and turns personal. Dismissive. Sometimes weirdly defensive. After the most recent one, I thought about it for a while. Then I decided to write about it. Because something important is happening and not many people are talking about it honestly.

It usually goes like this. Someone finds out we use AI at Innovated Studios. But instead of asking how or what we've learned, they skip straight to assumptions. We couldn't possibly have the infrastructure. We must be cutting corners on security. We're probably replacing staff with AI. The quality must be suffering because AI isn't as smart as a real engineer. Real AI is for companies with billion-dollar budgets. Most people don't mean it to sound condescending. But I think the skepticism comes from uncertainty, not concern. People are unsure what AI means for the way things have always worked. And that makes them uncomfortable.

So let me be clear about what we do and don't do with AI.

HOW WE USE IT:

AI accelerates human work at Innovated Studios. It never replaces human judgment. Our creative team uses AI tools to explore more design directions in less time. We use it for scheduling and resource forecasting. We use it for internal research so we can pull together specs, material data, and benchmarks in minutes instead of days. We use it to draft internal documents that our team then reviews, refines, and approves before anything moves forward.

Here's what we don't do. We don't generate final deliverables with AI. We don't put client data, NDA-protected details, or confidential specs into public models. We don't pass off AI content as finished work. Ever. Everything that leaves our shop has been built, reviewed, and signed off on by our people. AI gets us to the starting line faster. Our people run the race.

We know which tools process data locally and which use the cloud. We know where our data goes, how it's stored, and how long it stays there. That wasn't bolted on later. It was built into how we rolled out AI across our 21,000-square-foot facility and our three offices at Universal Orlando's Sound Stage complex.

THE GOOD:

With those boundaries in place, AI has been a real multiplier for us. Work that took days now takes hours. Hours now take minutes. Designers explore more visual directions at the concept stage. Not to skip the real design work, but to get to better ideas faster. Project managers spot scheduling patterns that would take days to find manually. Engineers test more approaches before we commit to fabrication. The quality goes up and the timeline comes down.

AI is also leveling a playing field that was tilted for decades. A smart studio can now build a custom CRM that does what a Fortune 500 company paid millions for. Same capability. Same security. A fraction of the cost. You don't need a billion-dollar budget anymore. You need the right knowledge and the right partners.

THE BAD:

AI isn't magic. I have no patience for companies that treat it like it is. I see organizations bolting AI onto every process without thinking about what they're automating or why. They chase buzzwords instead of solving problems. They buy platforms they don't need and write seven-figure checks for tools they'll use at ten percent. That's not innovation. That's theater.

There are real concerns. Data security. IP protection. Hallucination in language models. AI content being passed off as human work. And honestly, we've all been on the receiving end of it. Emails and documents that are clearly AI-generated front to back with no human review. You can tell immediately. And when you ask a follow-up question, the person can't answer because they never actually read what they sent. That's not using AI. That's hiding behind it. And it gives everyone else a bad name.

These concerns deserve serious attention. But the answer is not to panic. And it's not to ban the technology. The answer is discipline, transparency, and clear boundaries.

Which brings me to something that genuinely baffles me.

THE CONTRACT PARADOX:

Major entertainment companies are now putting blanket AI bans into vendor contracts. No nuance. No distinction between internal brainstorming and final deliverables. Just a flat prohibition. But here's the part I can't get past. Many of these same companies are mandating AI adoption for their own teams. They're investing in AI infrastructure. They're promoting their AI capabilities publicly. They're requiring their departments to use it. But they're telling partners like us we can't touch it. The irony is hard to ignore.

And I have real questions about enforceability. If a designer uses AI to explore ten color options in twenty minutes, then picks the best one and refines it by hand, did they 'use AI' on the deliverable? If a project manager flags a scheduling risk using an AI tool, then adjusts the plan manually, is that a violation? The line is so blurry that the ban either means nothing or something absurd. It depends entirely on who's reading it.

I understand the impulse. Protecting proprietary information, creative IP, and brand integrity matters. We care about those things too. But a blanket ban isn't a policy. It's a reaction to something people haven't figured out yet. And it puts partners like us in a position where we're forced to comply with a vague rule and lose efficiency. We would never break a contract provision, even one we disagree with. But the result is that both sides pay more. We spend more time doing things the slow way. The client pays for that time. Nobody wins.

The companies that handle this best will replace bans with frameworks. Tell us what data stays out of AI tools. Tell us which deliverables need to be fully human-generated. Give us clear rules and we'll follow them. We already have internal policies that are probably tighter than most clients would think to write.

THE GREAT:

This is the part that excites me. And I think it's where the real anxiety lives for legacy software companies. AI is closing the gap between what big corporations can do and what smaller, faster companies can do. The moat that enterprise vendors built over decades is eroding. Complexity, lock-in, switching costs, consulting armies. All of it. Fast.

Think about CRM. For twenty years, the big players charged premium prices for platforms that need dedicated admins, months of setup, and consulting fees that often cost more than the software. Total ownership runs into the millions per year. And most mid-market companies use maybe fifteen percent of what they pay for. The rest just sits there because switching feels impossible.

Now picture a company that works with the right technology team to scope a custom CRM around how people actually work. It connects to approved tools, follows documented security and data requirements, and can evolve through planned releases. The value is not a universal cost or speed promise; it is control over priorities, interfaces, and change decisions.

This is already happening. Across every industry. And it makes people uncomfortable. Every company that builds its own AI-powered CRM or workflow system is a customer the legacy vendors lose. That's real revenue disappearing. And the people whose careers depend on the old model can feel it.

When software executives push back hard on founders using AI, it's usually not about responsibility. It's an instinct. They're not worried about how you're using it. They're worried about what happens to their business if you're using it well.

My advice to other business leaders is simple. Don't let anyone tell you AI is only for the giants. The companies winning right now are the most curious and the most disciplined. They're rethinking how work gets done instead of just adding shinier tools. AI is a tool. In 25 years in this industry, I've learned that every tool is only as good as the people using it. So partner with people who know what they're doing.

At Innovated Studios, AI makes our team better. It doesn't replace them. The human expertise is still everything. AI just removes the friction that used to slow people down. And we're transparent about every part of it. Trust comes from being straight with people. Not from fine print.

The future doesn't belong to the biggest budgets. It belongs to the best strategies. Companies that use this technology with discipline and integrity. And companies that refuse to let somebody else's discomfort become their reason to stand still.

Tags: AI, artificial intelligence, business strategy, CRM, innovation, enterprise software, technology