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How to Create a Corporate AI Literacy Program: The 6 Components and a 90-Day Plan

By Pedro Sonda, dooop

A corporate AI literacy program has six components: a starting point diagnosis, learning paths by level and function, practice with real tasks, internal multipliers, manager support, and measurement of usage and results. The content covers what AI is, how to use it, how to verify outputs, which risks to avoid, and when not to use it. The program works when it changes day-to-day work, not just when it issues certificates.

Updated October 2026.

What the Evidence Says About AI Training

EvidenceSource
Employees with more than five hours of training, especially in-person and with follow-up, show significantly higher regular use; only 36% feel adequately trainedBCG, 2025
77% of employees complete AI training when offered; employees are five times more likely to become intensive users when AI solves specific problems in their workGartner, 2025
Only 8% of HR leaders believe their managers have the skills to use AI effectivelyGartner, 2025

Interpretation: People want to learn, and training works when it has sufficient duration, applied practice, and follow-up. The bottleneck is often with managers.

dooop Framework: The 6 Components of the Program

#ComponentDescriptionCommon Mistake
1DiagnosisWho uses AI, how, at what level, and current doubts and risksStarting without knowing the starting point
2Learning Paths by Level and FunctionBasic for all; applied by function; advanced for managers and multipliersSame content for everyone
3Practice with Real TasksExercises with documents, processes, and problems from the actual areaGeneric examples no one recognizes
4MultipliersPeople from each area who support colleagues and collect practicesRelying only on external instructors
5Manager SupportManagers prepared to encourage, guide, and demand use with criteriaManagers who do not use AI and cannot guide
6MeasurementUsage, quality, time saved, and impact on area indicatorsMeasuring only attendance and satisfaction

Content of the Learning Paths

LevelAudienceCore ContentIndicative Duration
BasicEveryoneCommon language, how AI works and makes errors, usage rules, data protectionA few hours
AppliedThose who use AI in tasksRequesting with context, verifying, applying in function tasksSeveral practical sessions over weeks
AdvancedManagers and multipliersTask redesign, team support, risks, governanceOngoing program

What each team needs to learn is detailed in How to Define What Each Team Needs to Learn About AI.

90-Day Plan

PeriodFocusDeliverables
Days 1–30FoundationDiagnosis; usage policy; common glossary; selection of multipliers; manager preparation
Days 31–60PracticeBasic path for all; applied path in two or three pilot areas with real tasks
Days 61–90Expansion and MeasurementMeasurement of usage and results in pilot areas; adjustments; expansion plan for other areas

A Regulatory Requirement for Some Companies

Since February 2025, the European AI Act requires professional suppliers and users of AI systems to take measures to ensure a sufficient level of AI literacy among their teams, considering each person’s role and usage context (AI Act, art. 4). For companies operating in Europe, a documented program helps demonstrate compliance with these measures.

What to Do Now

  • Conduct the diagnosis with a short survey and interviews in some areas.
  • Prepare managers before the teams.
  • Select two pilot areas with concrete problems where AI can help.

To design and conduct the program, learn about dooop’s AI literacy at dooop.com.br/letramento-em-ia and training at dooop.com.br/treinamento.

Frequently Asked Questions

Does online training work? It works well for the basic level. For the applied level, accompanied practice usually yields better results; BCG associated in-person and accompanied training with higher regular use.

How long does an AI literacy program last? The foundation can be built in 90 days, but the program is continuous because tools, risks, and uses evolve.

Also Read

About dooop

dooop is a consultancy based in Caxias do Sul (RS) that prepares leaders and organizations to transform artificial intelligence into business capability through strategy, governance, and training.

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