By Rocío Caillava – Digital Marketing Manager, InterConnecta
Over the past year, I spoke with companies looking to implement Artificial Intelligence in their operations. Some were already using Zoho. Others were looking for a tool to centralize their business. But they all shared the same concern:
“Where do I start? 🤔 ”
And, above all:
“How do I know I won’t waste time and resources on something that doesn’t connect to my operation?”
This article was born from those conversations. It’s not meant to be a product catalog. It’s a roadmap based on real experience, to help you make strategic decisions about AI in your company.

The goal is not to “have AI.” It’s to make it work.
Most companies that fail to implement AI do so for one simple reason: they start with the tool and not with the structure.
Adding a conversational assistant, automating a specific task, or using prompts with ChatGPT doesn’t transform the operation.
AI without context is just another app.
Think of AI as infrastructure, not an accessory
My first suggestion is this: don’t think of AI as a layer on top of what you have, but as part of the system.
And that requires answering uncomfortable questions:
- How is your data organized?
- How integrated are your apps?
- Do your processes have clear, traceable rules?
- Who defines what actions an AI can take at each stage?
These are the questions that enable real implementation.
And they’re the ones we solve at InterConnecta with something called MCP.


MCP: the real enabler of operational AI
MCP is a context protocol.
It allows your AI agents not only to respond… but to understand your business.
We designed it so your assistants can:
✔ access the right data
✔ understand workflows
✔ apply business rules
✔ make decisions
✔ and execute tasks in your real systems (Zoho and others)
In other words:
MCP turns your AI assistants into virtual employees.
How we implement it (if you’re already using Zoho or about to)
Here’s the full process, which we’ve validated with companies across multiple industries:


Tip for those evaluating platforms
Invest in a solid foundation like Zoho.
Why?
- It’s affordable in terms of cost and scalability
- It has over 100 million users worldwide
- It’s been awarded by Gartner as a leader in CRM and productivity
- It’s modular, open, and perfectly integrable with AI
🔗 Get started with Zoho here
What changes with this architecture?
Once this approach is implemented, the impact becomes visible within a few weeks:
✔ Already have some level of digitalization
✔ Have Zoho or another CRM implemented
✔ Looking to scale without operational friction
✔ Open to rethinking processes to
automate with AI
And, above all:
✔ An operation ready to scale without growing the human structure
Is this for all companies?
Not necessarily.
This model has greater impact in companies that:
✔ Already have some level of digitalization
✔ Have Zoho or another CRM implemented
✔ Looking to scale without operational friction
✔ Open to rethinking processes to automate with AI
If you feel identified, you’re probably at the right time to move forward.
And what if I still don’t know if I’m ready?
That’s an excellent starting point.
My recommendation is this:
Don’t start with a demo. Start by understanding your own ecosystem.
I suggest a free evaluation where we analyze:
- Current state of your digital environment
- Automation potential by areas
- Opportunities to activate AI progressively
🔗 Talk to Tami and schedule your evaluation
Thanks for reading!
I’m convinced that artificial intelligence is not about tools, but about systems that think and act with purpose. That’s what we’re building at InterConnecta.
And if you’d like to explore how to apply it to your specific case, I’m available.
Rocío Caillava
Digital Marketing Manager, InterConnecta