Artificial intelligence has democratized software development, but it does not replace business experience, technological architecture, or knowledge of business processes.

Over the past two years, Artificial Intelligence has completely changed the way software is developed, delivery times, and scope.
Today, anyone can ask an AI to create an inventory system, a point-of-sale system, or even a complete ERP. In a matter of hours, screens, reports, and modules appear that previously required months of work.
This has led to the emergence of hundreds of new developers and small startups offering enterprise systems at extremely low prices, which are very attractive to new entrepreneurs or simply those looking to cut costs.

The really important question is not whether AI can program.

The real question I invite you to ask yourself is:

Can a company entrust its entire operation to software built solely with the help of Artificial Intelligence and little business experience?
The answer deserves in-depth analysis.
AI programs code. Experience designs solutions.
Artificial Intelligence has proven to be an extraordinary tool for accelerating development.
However, developing enterprise software with the depth needed to be stable and grow involves much more than writing code.
A business system must solve real-world processes such as:
Complex inventories.
Electronic billing.
Costing.
Production.
Accounting.
Human Resources.
Accounts receivable.
Accounts payable.
Payment providers.
Multi-company.
Multiple branches.
Security of the information.
Audit.
Integrations.
Scalability.

Each of these processes has business rules that are only acquired after years of working alongside real companies.
AI can suggest a solution.
Experience tells us what works in practice.

Cheap software can end up being the most expensive; many companies make decisions based solely on price, which is understandable. However, a system developed by a small startup can cost a fraction of what a well-established enterprise solution costs.

However, hidden costs often appear, such as:
Lack of support when problems arise.
Errors that affect daily operations.
Inconsistent information.
Slowness as the company grows.
Difficulties in adding new features.
Dependence on a single person who developed the system.
Lack of technical documentation.
Programming discrepancies and lack of version control.
Little or no security.
Weakness in the infrastructure.

In summary, AI is an advantage when it is backed by decades of experience in business processes, support teams, and a platform that has evolved with hundreds of customers.

We invite you to explore our business systems, the most versatile and experienced on the market. Contact us at 4600-0002 and boost your business today.

Written by Doménica Bolaños, CEO PROCOM.