When we talk about artificial intelligence, the problem is usually not the technology, the problems are the myths that surrounds it.
In many conversations with business and project owners, the same pattern emerges: interest inAI, but also doubts, fears, and hesitations. Not because AI doesn't work, but because of several factors that impact the understanding of AI: too much information, information with a very technical focus, bad user experiences, among others.
At Radical One, we understand your concerns and fears, which is why we've created a list of the main myths we've heard from our clients and how we've supported them in their learning process about AI.
Myth 1: “AI will replace people”
The reality is that AI is not here to replace people, it is here to help people do their jobs better, offering tools that allow them to work more efficiently, saving people time, time that can be focused on tasks that truly generate value.
AI doesn't replace talent, it enhances it.
Myth 2: “AI is not for me, it’s only for big companies”
Today, AI is more accessible than ever, and paradoxically, it has the greatest impact on small and medium-sized enterprises (SMEs). Why? Because they typically have a smaller organizational structure, making it easier to implement improvements in a small team than in a large one.Furthermore, SMEs generally involve more manual tasks and a high degree of dependence on certain individuals (owners, managers, etc.). AI helps reduce this workload and reliance on people.
Well-applied AI levels the playing field.
Myth 3: “Implementing AI is very complex”
Complexity arises when you try to do everything at once.
Successful implementations:
They start with a single use case
They address a specific problem
They are implemented gradually
It's not complex when there is proper planning and objectives.
Myth 4: “AI makes decisions on its own”
AI does not make decisions for the company; it executes rules defined by the business and always under human supervision.
Control remains with the company, not with the technology.
Myth 5: “I have little information; I don’t need to use AI”
It's not about quantity, but quality. With organized data and clear rules, AI can generate real impact from day one.
Better data, better results.
Myth 6: “AI is very expensive”
When AI is implemented without objectives and planning, the return on investment is usually low, but when implemented with real business objectives, it impacts very specific KPIs:
- Time
- Costs
- Conversion
- Customer experience.
If it doesn't impact KPIs, the return is uncertain.
Myth 7: “AI is not safe”
Security does not depend on AI, but on where and how it is implemented.In enterprise platforms, AI:
- Respect permissions
- Maintains traceability
- It operates under clear rules
Safety is part of the design, not an added risk.
Myth 8: “AI is just a trend”
Trends are promising. Well-implemented AI delivers:
- Excellent customer service
- Track on sales
- Order in processes
- Better decisions
It's not a trend, it's an improvement.
Myth 9: “AI understands the business on its own”
Intelligence is still in business.AI:
- Learn with context
- Execute rules
- Needs supervision
AI doesn't replace judgment; it performs it better.There are many success stories we've seen when implementing AI; the question isn't whether it works, it's how it's implemented.At Radical One, we don't start by talking about Agentforce; we start by talking about your business; goals, processes, areas of opportunity, KPIs, and then we use AI agents where they really make an impact.
