Applied research in artificial intelligence and project management

13 lines in 4 quadrants

Filter by quadrant or by your field. Each line opens right here, with its summary, deliverables and weekly meeting time.

• T01Technology RadarfullThe Augmented PractitionerMon 21:00–22:00 (Brasília time)

  Making a simple request to an AI is no longer enough for excellence. It's time to level up with agent engineering! The challenge is not finding a "magic prompt", but organizing multiple prompts and models into an agent architecture capable of planning, executing, and self-correcting.

  Deliverables

  • PM Tech Radar (GPT vs Claude vs Gemini comparison by artifact)
  • Agent Architecture Patterns (with Python code)
  • 1-2 Scientific articles
• T04Culture & ChangefullOrganizational LeadershipWed 19:00–20:30 (Brasília time)Led byFernando Maquiaveli

  Without culture, AI scales chaos. With 80%+ of projects in multicultural environments, we need Cultural Intelligence. "Internal stickiness" blocks information flow — it's the invisible enemy of projects.

  Deliverables

  • Monthly practical deliverables (ready-to-use tools)
  • Cultural Intelligence + AI Framework
  • Mixed-methods research
  • Academic articles

  Pitch video by the line's lead (YouTube) ↗
• T05Talent & Upskilling3 of 8 seats takenOrganizational LeadershipMon 17:00–18:30 (Brasília time)

  AI is transforming the project manager's work: less operational execution and more validation, curation, judgment, accountability and leadership of hybrid ecosystems. The Talent & Upskilling tribe investigates which capabilities become critical in this new context and how to develop them in a practical way that applies to real work, integrating leadership, people, governance, data, critical evaluation and learning.

  Deliverables

  • Market Article 1 (LinkedIn, Aug 2026): “The 93-Cent Crisis”
  • Market Article 2 (LinkedIn, Sep 2026): “The Autonomy Paradox”
  • National Webinar (Nov 2026) with an international guest
  • Final Scientific Article (Dec 2026), to PMJ editorial standards
• T06ROI & PortfoliofullOrganizational LeadershipTue 20:00–21:30 (Brasília time)Led byMessias Reis da Silva

  No more million-dollar decisions based on intuition! AI for prioritization is still a "black box". We will transform it into a "glass box" — transparent, explainable, and auditable.

  Deliverables

  • Hybrid Models (AI + human judgment)
  • Metrics beyond ROI (risks, reputation, learning)
  • Monthly LinkedIn articles
  • AI platform prototype for simulation and prioritization

  Pitch video by the line's lead (YouTube) ↗
• T07Governance & Trustworthy AI7 of 8 seats takenFuture & ResponsibilityTue 20:00–21:00 (Brasília time)

  83% of organizations plan to deploy AI, but only 29% feel ready. 46% of PoCs are discarded. Silent risks: hallucinations, data, biases. End of "Eternal PoCs"!

  Deliverables

  • AI Governance Framework
  • Data Quality Matrix
  • Value Metrics Guide (real ROI)
  • Acceptance Criteria Checklist (GenAI/RAG)
  • Governance Toolkit v1.0
• T08Inclusion & Collaboration & Communication7 of 8 seats takenFuture & ResponsibilityThu 20:45–21:45 (Brasília time)

  15-20% of the world population is neurodivergent. Only 25% of employed neuroatypical individuals feel included. We will develop the Neuroadvantage Framework 1.0: a "cognitive exoskeleton" supported by AI.

  Deliverables

  • Neuroadvantage Framework 1.0 (5 pillars)
  • Scientific article (theoretical pillar)
  • Practical webinar (technological pillar)
  • Practical tests + market v1.0
• T09AI in Projects & the Construction IndustryConstruction7 of 8 seats takenAI Project ManagementWed 19:30–21:00 (Brasília time)Led byHenrique Diniz S. Silva

  The CPMAI methodology applied to AI projects — from Business Understanding to Operationalization — with vertical depth in the construction industry: real cases, predictive forecasting, document automation, and AI agents across design, engineering, and construction workflows.

  Pitch video by the line's lead (YouTube) ↗
• T10Assisted GovernanceformingAI Project Managementschedule to be definedLed byHonorio Dias Barbosa Filho

  AI agents as copilots for PMO and Engineering to produce deliverables with method — traceable, reproducible, and quality-controlled. From improvised to methodical generation, in the spirit of the CPMAI lifecycle.

  Pitch video by the line's lead (YouTube) ↗
• T11Intelligent PMO7 of 8 seats takenAI Project ManagementThu 20:00–21:00 (Brasília time)Led byJoão Henrique Jacinto

  The PMO as an intelligent organizational capability: decision agents and simulators, PMO services and outcomes, and value governance connecting AI initiatives to strategy. Anchored in the PMO Practice Guide and PMI M.O.R.E.

  Pitch video by the line's lead (YouTube) ↗
• T12Augmented Productivity7 of 8 seats takenThe Augmented PractitionerTue 20:00–21:30 (Brasília time)Led byJhonathan Brandao

  Applied use of generative AI in the project manager workflow: prompts for schedules, risks, and communication plans; automation of minutes, status reports, and document analysis. The "first mover" pillar — more time on strategy, less on manual work.

  Pitch video by the line's lead (YouTube) ↗
• T13Data in AI Projects5 of 8 seats takenAI Project ManagementTue 19:00–20:30 (Brasília time)Led byAdailson Santos

  Data governance and quality as an execution layer of AI projects: translating the ANSI/PMI 26-007 standard and the CPMAI "Identify Data Needs" domain into practical mechanisms, templates, and tools — stewardship, lineage, and a Definition of Ready for data. Boundaries: ethics in T7, ROI in T6.

  Pitch video by the line's lead (YouTube) ↗
• T14AI Literacy6 of 8 seats takenThe Augmented PractitionerMon 19:00–20:00 (Brasília time)

  A "101" foundation in generative AI literacy that prepares researchers before the thematic tribes. An open learning format with no external deliverable — the conceptual foundation underpinning Radar and Augmented Productivity.

• T15Second Brain & Team CommunicationformingThe Augmented PractitionerTue 19:00–20:30 (Brasília time)Led byClendson Gonçalves, MSc.

  80 WhatsApp groups. One single head. Every Brazilian manager knows this reality and almost nobody measures it: the project lives in messaging groups, and attention cannot keep up. The tribe studies how AI separates what requires action from the noise, giving the manager's attention back to what matters and investigating what slips through. If this pain is yours, I'll see you in the tribe.

  Deliverables

  • Scientific paper 1, "The Machine that Learns to Decide Like You" (RQ1): how does a triage system learn a manager's criteria from the way they reply to, postpone or ignore messages?
  • Scientific paper 2, "What Goes Unnoticed" (RQ2): what flows through the informal communication channels of projects, and how much of it is decisions and risks?
  • Scientific paper 3, "Why the Triage Gets It Right" (RQ3): which context factors most determine whether AI understands the reality of a project?

  Pitch video by the line's lead (YouTube) ↗

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Where protagonism happens

The next General Meetings are open. Each one has 90 minutes of agenda with blocks for protagonists to present cases, demos and ideas — live, with the whole hub.

Tribe Meetings

Brasília time (UTC−3)

Management, line leaders and curation

By role. People who authorized the use of their image in the volunteer agreement appear with a photo; everyone is in the count.

• 84researchers across 15 chapters
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  • +76
• 2in the Núcleo’s management
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• 13research line leaders
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• 13leaders of other initiatives
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• 3in curation
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• 8in the Núcleo’s hubs
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• 15chapter presidents and focal points

  Chapters: PMI-CE, PMI-DF, PMI-GO, PMI-MG, PMI-RS

• 26 of 84have completed the 6 courses of the PMI AI learning path
• 3members with the PMI-CPMAI certification

The learning path to PMI-CPMAI →Ranking (members) →