Course Name
Agile Project Execution Bootcamp: GenAI-Augmented Delivery for Managers (IN-PERSON)
Schedule
September 22, 2026 - September 23, 2026
Tuesday & Wednesday
8:30 am – 4:30 pm
Venue: Ateneo-Salcedo Campus
Ateneo Professional Schools Building, 130 HV Dela Costa Street, Salcedo Village, Makati City
Early Eagle Rate:
Php 18,000
Valid Until:
September 08, 2026
Description
The Agile Project Execution Bootcamp is a two-day, face-to-face executive education program designed for managers, project leaders, product owners, transformation professionals, and functional leaders who are responsible for delivering work in complex, fast-changing environments.
The program equips participants with the mindset, practices, and competencies needed to lead Agile and hybrid project delivery in today's post-AI operating environment. It focuses not only on Agile ceremonies and methods, but on the deeper managerial capabilities required to turn strategy into execution: stakeholder alignment, adaptive planning, team coordination, risk management, benefits realization, governance, and disciplined delivery.
A major feature of the bootcamp is the practical use of Large Language Models (LLMs) and Generative AI as project execution accelerators. Participants will use GenAI tools responsibly to draft, refine, challenge, and document key project artifacts such as project charters, stakeholder maps, user stories, sprint plans, risk registers, retrospectives, benefits maps, decision logs, and executive status reports.
The program does not treat AI as a replacement for the project manager. Instead, AI is positioned as an execution amplifier. The project manager's role becomes more important in the post-AI age: framing the right problems, validating assumptions, exercising judgment, aligning stakeholders, integrating human and machine-generated work, and ensuring that delivery remains ethical, useful, and accountable.
Who should attend
- Project/Program Managers, Agile Project Managers, Scrum Masters, and Product Owners
- Business Analysts, PMO staff/leaders, and Transformation/Change Managers
- Functional, IT, and Operations Managers leading cross-functional or digital initiatives
- Team leads preparing for larger delivery roles
- Executives and senior managers who sponsor Agile or hybrid projects
After the course, participants will be able to:
- Explain the role of the Agile Project Manager in the post-AI age.
- Distinguish between traditional, Agile, and hybrid delivery approaches and identify when each approach is appropriate.
- Translate strategic intent into an Agile project charter and delivery roadmap.
- Define project outcomes, benefits, users, constraints, assumptions, risks, and success measures.
- Develop and refine Agile project artifacts, including user stories, backlog items, sprint plans, stakeholder maps, risk registers, and status reports.
- Use LLMs and Generative AI tools to accelerate project documentation, analysis, planning, communication, and reporting.
- Apply human judgment gates to validate, correct, and improve AI-generated project outputs.
- Facilitate stakeholder alignment and decision-making in uncertain, cross-functional environments.
- Design an Agile governance rhythm that balances speed, accountability, transparency, and adaptability.
- Produce a practical Agile Project Execution Pack for use in their workplace.
After the course, participants are expected to:
- Implement a structured, AI-accelerated Agile approach to navigate real corporate projects facing high stakeholder complexity and compressed timelines.
- Establish a reliable, low-bureaucracy governance cadence within their teams that successfully bridges the gap between activity and business value.
Agile Foundations, Project Framing, and AI-Augmented Planning
I. The Agile Project Manager in the Post-AI Age
Post-AI planning/reporting shifts; Core competencies; Project leader vs. Scrum Master/Product Owner/Sponsor
II. Agile, Traditional, and Hybrid Delivery
Traditional limits; Agile practices; Real-world hybrid setups; Choosing delivery approaches; Disciplined adaptability
III. From Strategy to Agile Project Charter
Strategic intent translation; Defining problems, value, constraints, and assumptions; AI-driven structural challenging
IV. Stakeholders, Users, and Value
Stakeholder mapping; User empathy; Navigating internal politics/decision rights; Outcome-to-value alignment
V. Backlog Thinking and User Stories
Product backlog vs. task lists; Epics, features, & user stories; Prioritization; Definition of Ready/Done
Agile Execution, Governance, Risk, and Benefits Realization
VI. Sprint Planning and Delivery Rhythm
Sprint rituals; Agile metrics & visibility; Managing dependencies/blockers; Non-ritualistic ceremonies; AI agenda building
VII. Risk, Assumptions, and Decision Logs
Agile risk management; Issue escalation; Governance memory; AI hallucination as an operational project risk
VIII. Agile Governance and Executive Reporting
Low-bureaucracy governance; Executive data needs; Action-supportive status updates; AI summary generation
IX. Benefits Realization and Value Tracking
Outputs vs. outcomes; Leading/lagging indicators; Eliminating activity theater; Sustaining value post-closure
X. Capstone Workshop: Agile Project Execution Pack
Integrating artifacts; Peer review and critique loops; Facilitator coaching; Final workplace refinement
Dr. Mario Domingo operates at the intersection of applied AI research, venture-building, executive accountability at national-platform scale, and academic formation in leadership and ethics. He currently serves as Regional Chief Technology Officer of CeQureX. Alongside this role, he holds a portfolio of advisory mandates positioned for the AI-driven transformation now reshaping enterprise, finance, and the public sector: fractional Chief Transformation and Technology Adviser to a major Philippine higher education system, a telecommunications subsidiary, and to a Philippine bank; technology adviser to the Philippine defense establishment on sovereign network architecture; and adviser on AI to senior leadership across multiple organizations.
His prior executive lineage includes service as Chief Technology Officer and CEO Officer-in-Charge of UBX through November 2025, an early Philippine institutional venture in blockchain and digital finance. Earlier in his career, he architected high-performance computing systems in production at the Cboe/Chi-X global exchanges: market infrastructure where correctness, latency, and trust at machine speed are non-negotiable.
He founded the Domingo AI Research Center (DARC Labs) in 2016, with work in medical imaging and cancer diagnostics, and co-founded DANATEQ Pte Ltd. in Singapore in 2010, focused on probabilistic AI for telecommunications infrastructure.
He holds a PhD in Leadership from Ateneo de Manila University (Critical Realism; Virtue Ethics, Deontology, Utilitarianism) and undertook post-graduate study in AI at MIT CSAIL.
Dr. Domingo is the sole resource person for this bootcamp. The patterns, builds, and frameworks taught in it are his own.
