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Integrating AI into existing applications: strategies and tools (without losing your sanity)

By Kaique Jesus do Nascimento — Head of AI Solutions

Published 14 minutes ago
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Everyone’s talking about adding AI to their products. But what if your system is already live, full of legacy code, circular dependencies, and controllers with 500 lines each? Can you still bring AI into that reality? Spoiler: yes, you can but it takes strategy.

Here are some ideas I’ve seen work in real-world projects:

1. Start small and with purpose

Don’t try to “AI-ify” the entire system at once. Pick a process that’s repetitive, costly, or involves simple decision-making. Examples: ticket classification, automated reply suggestions, task prioritization, or anomaly detection.

2. Treat AI as a service, not a habit

You don’t have to bury AI deep inside your app’s core. Create an external layer like an API or microservice dedicated to handling AI logic. This keeps the system loosely coupled, easier to test, and prevents what I call “emotional attachment” to a single model.

3. OpenAI,azure, huggingFace... which one should you choose?

It depends on your use case and budget. But generally speaking:

  • OpenAI = great for getting started, solid documentation, plug-and-play setup.
  • Azure/OpenAI = enterprise-ready, with compliance and fine-grained access control.
  • HuggingFace + self-hosting = total freedom, but also total responsibility.

4. Always have a fallback plan

Your AI will fail. It will hallucinate. It will confuse things sometimes. That’s why you should always design a fallback, a traditional path or human validation step. This is crucial when AI directly impacts the user experience.

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Kaique Jesus do Nascimento — Head of AI Solutions

5. Metrics Before Magic

You can’t improve what you don’t measure. Track how AI affects your app’s performance and user experience. It’s not about “look how cool this is,” it’s about “did this create real value?” If not, tweak it or turn it off, no hard feelings.

Integrating AI isn’t just about technology. It’s about understanding context, users, and product lifecycle. When done right, AI doesn’t replace, it enhances.

Ready to put real intelligence into artificial intelligence?

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