AI Literacy for the Modern Workplace
97% CSAT
bilingual course + quiz program · satisfaction result attributed to AI Literacy
Purchasable formats for a synchronous decision-making and practice experience: executive session, hands-on workshop, or modular path. Each format combines facilitation, real tasks, and feedback during the activity; it is not a generic lecture or a promise of behavior change without follow-through.
AI Literacy for the Modern Workplace
97% CSAT
bilingual course + quiz program · satisfaction result attributed to AI Literacy
Enterprise facilitation
Since 2020
training for global brands · enterprise experience proves corporate facilitation, not AI deployment
2-8 hours per session
Technical and non-technical teams, leaders, and business units
Guided practice, usage criteria, and continuity materials
Executive session / workshop / path
Content can incorporate company tasks, tools, policies, terminology, and approved cases. Customization depends on a briefing, access to subject-matter experts, and validation time; it does not automatically include building a platform or integration.
Yes. Facilitation and materials can be prepared in Portuguese, English, or an agreed combination. AI Literacy demonstrates bilingual course and quiz production; each new scope confirms which pieces need versions in both languages.
The format is defined by the objective and expected level of interaction, not by a universal limit. Cohorts with practice and feedback require a different setup from executive sessions or plenaries; the proposal recommends facilitation and resources appropriate to the stated audience.
To talk about this service, write to oi@dorly.com.br.
Before commissioning training, technology, or metrics, this engagement organizes the decisions: where to start, which pilot fits the context, who is accountable for it, and what needs to happen next. The scope ends with an approved design; execution, integrations, and operations are later workstreams.
MVPs, automations, and demos to test an idea's value before scaling — using tools like ChatGPT, OpenAI API, n8n, TypeScript, and AWS to prove what works with a tight scope.
Enablement means giving a team practical conditions to use AI without always depending on outside help. The package turns recurring decisions and tasks into editable playbooks, templates, rubrics, and guides with a defined audience, validation path, owner, and maintenance rule.
I design the model connecting reaction, learning, behavior, and impact without treating correlation as causation. The work defines what to measure, where the data comes from, and how to read the signals; business outcomes and integrated dashboards depend on data quality and later implementation.