AI Codes Medical Procedures: What Marketers Need to Know
While you're debating whether AI can write decent ad copy, the healthcare industry just took another massive leap forward. AI systems are now...
Here's the uncomfortable truth about AI adoption in marketing: Most companies are doing it backwards.
They're buying shiny new AI tools like ChatGPT subscriptions, automation platforms, and content generators, then wondering why their teams aren't magically more productive. Meanwhile, they're still running the same inefficient processes, buried under the same approval chains, and stuck in the same meeting hell that slowed them down before AI existed.
The problem isn't the technology. It's that you can't fix broken work with better tools.
I see this pattern constantly: Marketing teams get excited about AI capabilities, roll out expensive tools, then hit a wall when reality kicks in. The AI can write copy in seconds, but it still takes three weeks to get it approved. The system can generate campaign ideas instantly, but the strategy review process hasn't changed since 2019.
You end up with frustrated teams who have powerful tools they can't actually use effectively. Sound familiar?
This is why redesigning work processes must come before scaling AI tools. You need to fundamentally rethink how work flows through your organization, not just digitize the chaos you already have.
Before you buy another AI subscription, ask these questions:
Where do projects actually get stuck? Map out your real workflow - not the one in your process doc, but what actually happens. I guarantee the bottlenecks aren't where you think they are.
Which decisions require human judgment, and which are just tradition? That approval step that "ensures quality"? Half the time it's just someone rubber-stamping work because "that's how we've always done it."
What would this process look like if you designed it from scratch today? Strip away the accumulated bureaucracy. What steps actually add value?
Start small and specific. Pick one workflow that's driving everyone crazy - maybe campaign creation or content approval. Document every step, every handoff, every delay.
Then ruthlessly eliminate steps that don't add real value. Combine roles where it makes sense. Give people authority to make decisions at their level instead of escalating everything.
Only then should you think about which AI tools might accelerate the redesigned process.
For example: Instead of using AI to generate more content that gets stuck in your broken approval process, first streamline approvals. Maybe copywriters can publish directly to certain channels. Maybe you pre-approve messaging frameworks instead of reviewing every individual piece.
Then AI becomes a multiplier, not just another layer of complexity.
Companies that figure this out first will have a massive advantage. While their competitors are buying the same AI tools and getting mediocre results, they'll be operating at a fundamentally different speed.
The technology is becoming commoditized rapidly. The real differentiator is organizational design - how quickly you can turn ideas into action.
So before you sign up for another AI platform demo, take a hard look at your actual work processes. The future belongs to teams that can execute fast, not teams with the most tools.
While you're debating whether AI can write decent ad copy, the healthcare industry just took another massive leap forward. AI systems are now...
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