AI with purpose: how to get it right and why some companies are already doing it

28 Jul AI with purpose: how to get it right and why some companies are already doing it

Much is said about Artificial Intelligence, but little is said about the royal road so that it generates results for companies.

Today, leaders from all sectors are being pressured to "do something with AI".
But without a clear understanding of how this technology works... and, above all, where it can really helpThe risk of investing without a return is high.

And unfortunately, we've seen this happen all too often:
AI projects that are born out of hype, without strategic clarity, end up stalling for lack of direction.

The problem: business areas are not prepared to talk to AI

Most of the bottlenecks are outside of IT.
It's in the areas that could benefit most from AI: customer service, sales, operations, legal, HR, supply chain.

These areas usually were not literate in AI.
In other words, they don't know how this technology works, what to expect from it or how to talk to the technical teams about their real pains.

The result?
Scattered projects, poor prioritization and a lot of misdirected effort.

The solution starts with clarity, not technology

In MPLWe have developed a practical approach to help companies get out of the discourse and into real application, with two main pillars:

1. AI Training for Business Areas

Practical training, with a focus on clear language, alignment between business and technology, and immediate application.

2. Framework for Mapping and Prioritizing Opportunities

Our own methodology for identifying, qualifying and organizing AI initiatives based on business impact and complexity of execution.

This approach has been successfully applied in different segments, and is already in operation with two companies that have accepted the challenge of building this path with us.

Who is already applying: PLL Group and Castrolanda

e have recently started implementing PLL Group, which operates in the technology and services sector, and with Castrolanda, one of the largest agro-industrial cooperatives in the country.

Both are going through the full journey:

• Training teams in AI;
• Structured opportunity mapping;
• Planning initiatives with a focus on results

More than a project, it's a cultural change.
And most importantly: a change with purpose, aligned with what each organization really needs.

AI isn't about doing everything. It's about choosing well where to start.

While many are still betting on generic solutions, there are companies deciding to start the right way: with clarity, prioritization and a focus on real impact.

MPL, through MPL INOVAis leading this transformation with those who understand that strategy comes before technology.

If your company is at that point, we can talk.

Let's turn intention into real impact.

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