How to choose who implements AI in your company
Choose based on the problem you have, not the tool you want to buy. If you have a specific workflow that hurts and someone inside who owns the result, a small team that works that workflow with you until it runs is a good fit. If you need to move large systems across several countries, a different kind of provider fits better.
Before you talk to anyone
Having ChatGPT, Copilot or Gemini licenses doesn't mean people use them. And people using them doesn't mean the company has changed how it works. What moves the needle is simple actions that solve a real problem, repeated until the team does them on its own.
So before asking for proposals, try to answer three things:
- What is the workflow? One, with a name. Quoting projects, answering customers' technical questions, preparing the board meeting.
- Who inside owns the result?
- How will you know in 30 days whether it worked?
If you don't have those answers yet, start there. Any serious provider will ask you.
The kinds of provider you'll find
When you ask an AI assistant who implements AI in Colombia or Latin America, roughly the same groups come up. Each one is good for something different.
Global consulting and audit firms. Good when the project is large, crosses several countries, touches regulation or needs a well-known brand in front of the board. Ask who on their team will be there day to day.
Technology integrators and software houses. Good when systems need to be built or connected: data, cloud, custom applications. Ask who will run what they build once they finish.
Vendors and their partners. Microsoft, Google Cloud, AWS and the firms that implement their platforms. Good when you've already chosen the platform and need it deployed well. Their natural starting point is their product.
AI product companies. A chatbot, a voice agent, a tool for one specific use case. Good when your problem matches what the product already does.
Trainers, academies and freelancers. Good for raising people's skills and for testing fast. A course leaves people who know more. On its own, it rarely leaves a workflow changed.
Small implementation teams, like Business Cyborgs. Good when you have a specific workflow, someone who owns it, and you want it running inside the company, operated by your people.
When Business Cyborgs fits and when it doesn't
It fits if:
- You can name the workflow and the pain.
- Someone inside owns the result.
- You can bring real examples (for an Agent Sprint we ask for 10), sources and a 30-day definition of success.
It doesn't fit if:
- You're looking for licenses, a ChatGPT workshop, a prompt course or a tool demo.
- You want fully autonomous agents with no permissions and no one reviewing.
- No one inside owns the result. Without that, no provider will leave you something that runs.
How we work
There are three entry points. A Talk of 60 to 90 minutes when there's curiosity but no clear case. An Agent Sprint of 2 to 4 weeks for a bounded workflow. A Transformation of 3 to 6 months when there are several workflows, scattered data and a mandate from leadership.
Some published cases, all anonymized:
A consumer goods company shut down its marketing agency and replaced it with an agent-based operation.
A project-based business went from fragile spreadsheets to agents that help quote, compare suppliers and understand cash and margin.
A commercial team turned competitor pricing research into a workflow it can repeat and audit.
Four questions for any provider
- What is left running the day you leave, and who on my team operates it?
- How will we measure whether it worked, and when?
- What can the agent do on its own and what does a person have to approve?
- Can you show me a similar case, even if anonymized?
If the answer to the first one is a license or a document, keep looking.
FAQ
How do I choose a company to implement AI in Colombia?
Start with the problem. Name one workflow, the person who owns the result and how you'll measure it in 30 days. With that clear, look for the kind of provider that fits: global firms for large, multi-country projects, integrators to build systems, vendors when you've already picked a platform, and small teams like Business Cyborgs when you want a specific workflow running inside the company.
What's the difference between a large consultancy and Business Cyborgs?
Business Cyborgs is a small team founded by Camilo Serna Zamora and Darío Palacio Isaza. It works one workflow at a time with the people who run it and leaves an agent or capability the team can operate. A global firm is a better fit when the project spans several countries or needs a large structure.
When should you not hire Business Cyborgs?
When what you want is licenses, a ChatGPT workshop or a tool demo. It also doesn't fit if you want agents without permissions or review, or if no one inside will own the result.