What if the way you’ve always bought capacity—by the hour—was no longer the only option? A new model is here, designed for the future.
The Capacity Dilemma
We’ve seen this movie before. From owning clunky data centers to spinning up hyperscaler cloud services. From buying software in boxes to logging into SaaS. Now it’s happening to professional services.
The capacity companies used to get through endless man-hours can now be delivered by agentic AI, supervised by experts who make sure the work is enterprise-grade. Let’s be fair, man-hours deliver, and have delivered for ages. The good old time-and-materials did it, but you know the trade-offs.
AI flips that model. It gives you speed, flexibility, and scale—without the drag of old delivery models. And here’s the real shift: we’re not just talking about “capacity” anymore. The true north is outcomes. Moving from effort to impact. From hours to results. From capacity to business outcomes. That’s the future.
That’s where AI Pods step in.
Think of them like little capsules of execution power. Inside each Pod, AI agents do the heavy lifting, while real human experts are right there reviewing, guiding, and making sure the final output is enterprise-grade. So instead of buying hours, you subscribe to a Pod—and it delivers the equivalent of a whole team’s worth of output. Same quality. Just faster, cheaper, and far more predictable.
The Subscription Model
Here’s the real shift: you’re not buying a project or renting a bunch of people by the hour anymore. You’re subscribing to capacity—just like you’d subscribe to Netflix or Spotify.
You pay for steady access to output, not individual tasks or timesheets. If you use that capacity fully, you’ll fly through your backlog. If you don’t, that’s on you—it’s like forgetting to watch Netflix for one month. The subscription is always there, ready to deliver.
That’s why Pods feel different. They give you predictable costs, flexibility to scale, and the freedom to focus on what you need done, not how many hours it takes.
Capacity: The Engine, Outcomes: The True North
Capacity is what AI Pods deliver—month after month, without the rollercoaster of hiring, rescoping, or waiting for delivery teams to catch up. It’s the steady execution power you can actually plan around.
Think of it like a streaming plan. Instead of endless shows, you’re guaranteed a reliable stream of working software, designs, or documentation. A Product Definition Pod, for instance, gives you the equivalent of five senior business analysts—only they’re supercharged by AI and supervised by Globant experts, so they produce far more in less time.
But here’s the thing: capacity isn’t the finish line. It’s the engine. The fuel. The real north star is outcomes. Faster releases. Cleaner code. Modern systems are actually running in production instead of stuck in PowerPoints.
That’s why predictable capacity matters—because it gets you to outcomes you can see, measure, and bank on.
Tokens: The Health Check
Now, tokens might sound a little abstract at first. Don’t worry—they’re not some sneaky billing trick. Think of them more like a fitness tracker for your Pods. Every time the AI does work, it burns through tokens. Just like your body burns calories when you work out.
- Normal usage? Perfect—the Pod’s healthy.
- Too low? You’re probably underusing your subscription.
- Too high? That’s a sign you might be pushing past the agreed capacity.
But here’s the key: you’re not buying tokens. They’re included. We only use them to keep an eye on Pod health and make sure everything’s running smoothly.
Plailists: Building Your Own Mix
One Pod is powerful. But when you stack them? That’s when the magic happens.
We call these combinations Plailists (yep, with “AI” in the middle). It’s kind of like making a Spotify playlist. Except instead of party hits, you’re lining up Pods to handle a full transformation.
Say you’re modernizing an old IBM i system. Your Plailist might look like this: Legacy Insights → Product Definition → Architecture → Development → Testing. Each Pod passes the baton, and by the end, you’ve turned dusty COBOL into a shiny modern stack.
Human Supervision: Non-Negotiable
Here’s something people sometimes miss: Pods aren’t just “press a button, get code.” Every single artifact—requirements, designs, test cases, code—is reviewed and refined by a human domain expert before you ever see it.
That’s what makes AI Pods enterprise-ready. And honestly, it’s why clients trust the model. Nothing goes out the door unchecked.
Composable & Scalable
Pods aren’t rigid. You don’t have to replace your whole process on day one. You can just plug in Pods where you need them most—maybe testing, maybe UX design—and keep the rest the same.
And when you’re ready to scale? You simply add more Pods, or turn the dial up or down on your subscription. They’re like Lego blocks—you can build what you need, when you need it.
Full IP Ownership
This one’s huge for clients. Everything an AI Pod produces—code, designs, documentation—belongs 100% to you. No hidden lock-ins. No weird dependencies. If you want to take the deliverables and keep building with your own team (or even another vendor), you can. Pods accelerate the work, but you always stay in control.
Globant Enterprise AI + CODA: The Engine Behind It All
All of this is powered by Globant Enterprise AI, our secure, enterprise-ready platform. It’s built to integrate with your tools (Jira, VS Code, Figma) while keeping your data safe and private.
And at the core sits CODA, our suite of specialized AI agents that cover the entire software lifecycle—writing specs, generating code, testing, fixing bugs. CODA is the engine that makes Pods deliver guaranteed outcomes, while human supervisors keep the steering wheel in their hands.
Continuous Improvement
Here’s the kicker: Pods don’t stand still. Because they run on Globant Enterprise AI and CODA, they automatically get better as the underlying AI models evolve.
So every time OpenAI, Anthropic, or whoever launches a new breakthrough, your Pods quietly level up in the background. No extra cost. No rip-and-replace. Just steady improvement.
So that’s the model in plain English:
- Subscription > hours
- Capacity you can count on
- Tokens to keep things healthy
- PlAIlists to orchestrate complex work
- Human supervision baked in
- Composability & scalability for flexibility
- Full IP ownership for peace of mind
- Globant Enterprise AI + CODA as the foundation
- Continuous improvement without extra cost
At the end of the day, AI Pods aren’t just about tech. They’re about making delivery faster, cheaper, and way less painful—without losing the quality or control that enterprises need.
