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MXMO · strategy, design and engineering

Artificial intelligence for businesses

MXMO develops AI solutions connected to company data and processes. The work combines discovery, user experience and engineering to apply AI to customer service, information organization and decision support.

Tell us your challenge

What problem does this solution help address?

When information is scattered across documents, spreadsheets and systems, staff spend time finding context before acting. AI can help organize those records and simplify access, provided information sources and verification criteria are defined.

What MXMO can build

  • Discovery of the tasks, data sources and decisions AI should support.
  • Design of workflows, access permissions and human review points.
  • Agents and interfaces connected to the systems included in scope.
  • Validation using real operational situations and post-launch improvements.

What to assess before starting

Before automating a decision, evaluate data quality, the cost of an incorrect answer and who confirms the result. A solution can assist a person, execute bounded tasks or route cases for review. The choice depends on the risk and business need.

Projects showing this in practice

Líder Talent Hub

A database of 2,186 professionals, with 2,088 résumés structured by AI. Location, qualification and readiness search across 461 cities. Figures supplied for the case in September 2026.

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Maxim

CRM, finance and specialized agents connected to help leaders understand operations and make decisions.

Read the full case

Questions about this solution

How does MXMO apply AI to businesses?

MXMO applies AI to tasks with defined context and information sources: customer service, document organization, talent search, data analysis and decision support. Projects include operational integration and criteria for human review. Tools are selected after the problem is understood.

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Can a solution connect to the systems a company already uses?

Yes, when existing systems offer compatible integration methods such as APIs or data exports. During discovery, MXMO reviews documentation, permissions, data quality and each tool’s limitations. This assessment establishes what can be connected and which dependencies belong in the scope.

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How can AI avoid treating uncertain information as fact?

A solution should consult defined sources, flag missing information and include human review for decisions requiring confirmation. In Líder Talent Hub, uncertain data stays marked as uncertain. AI helps organize and find information while operations retain qualification and readiness criteria.

Explore Líder Talent Hub

Other possibilities

Let’s explore your next step.

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