Reduce routine effort.
Use AI where work repeats so experienced people can focus on decisions, stakeholders and delivery.
AI that improves delivery
Turn AI into better decisions, stronger control and more capacity.
Build practical AI capability across programs, projects and PMOs—so teams spend less time on routine work and more time moving transformation forward.
Why practical AI
Create value in the work your teams already do.
The opportunity is not another AI initiative. It is faster analysis, clearer decisions, repeatable workflows and confident governance inside the program. AI Project Institute helps you put those benefits into practice.
Improve decision support.
Turn complex information into clearer analysis and stronger program communication.
Scale with control.
Give teams repeatable methods, practical governance and clear human accountability.
Services
Choose the outcome you need now.
Start with individual capability, a program-level implementation plan or team-wide AI tool training.
AI Powered Project Professional
Help project professionals reduce routine effort, prepare stronger analysis and use AI responsibly—through the flagship course or customized organizational delivery.
Build project AI capabilityPractical implementation and governance
Move from scattered experiments to clear implementation priorities, governance and disciplined adoption in Transformation and ERP Programs.
Plan your AI implementationAdvanced AI tool training
Equip teams to turn prompts into repeatable workflows and agents using Claude, ChatGPT, Copilot, NotebookLM and Lovable.
Upskill your team
01
Course
Professional AI capability
AI Powered Project Professional
Help project professionals do more high-value work with AI.
AI Powered Project Professional gives Program Managers, Project Managers and PMOs a practical way to use AI with greater efficiency, confidence and control.
- Reduce routine effort
- Strengthen analysis
- Use AI responsibly
What participants gain
Four dimensions of professional AI leverage.
The course develops practical capability while keeping professional judgment, accountability and leadership firmly with the project professional.
Analytical leverage
Accelerate scenario modelling, WBS drafting, risk identification and business case analysis.
Communication clarity
Produce stronger, stakeholder-specific drafts and executive-ready outputs with less rework.
Structured risk thinking
Use AI to surface, frame and monitor risk while retaining the final priority and escalation call.
Governance and accountability
Define what gets logged, reviewed and approved—and what should never enter a public model.
From prompts to professional practice
Build capability that matures with the organization.
Move beyond isolated prompts toward consistent, shared and governable ways of working.
- 01Task modeIndividual, one-off use
- 02Sequence modeRepeatable prompt workflows
- 03System modeOperational team integration
- 04Governance modeDefensible enterprise capability
AI across the project lifecycle
Apply AI where it can improve structure, speed and decision quality—from business cases and planning to reporting, risk insight and lessons learned.
Standardize quality—not just prompts
Learn how reusable AI Skills can encode professional best practice, guide the process and produce more consistent, auditable outputs across a team.
Shift the PMO toward strategic intelligence
Explore how AI can strengthen portfolio reporting, risk monitoring, governance cadence, standards, onboarding and lessons-learned synthesis.
Build governance before scale creates risk
Cover data handling, human review, documentation trails, accountability and relevant EU AI Act awareness for project professionals.
Structure, synthesis and first drafts.
AI can accelerate analysis, detect patterns, organize knowledge and format communication.
Judgment, relationships and accountability.
Final sign-off, stakeholder awareness, escalation, risk priority, ethics and program direction remain human responsibilities.
02
Advisory
Implementation and governance
Practical implementation
Turn AI ambition into a practical, governed implementation plan.
For Digital Transformation and ERP Programs that need progress without losing control. Michael Libens helps leaders identify where AI can add value, set governance expectations and move from isolated experiments to disciplined adoption.
Implementation priorities
Governance and accountability
Program-level workflows, skills and agents
Transformation and ERP context
03
Training
Repeatable team capability
AI tools and workflows
Turn everyday AI tools into repeatable team capability.
Help teams get more from Claude, ChatGPT, Copilot, NotebookLM and Lovable—with less trial and error, more consistent workflows and clear human oversight.
01Claude
02ChatGPT
03Copilot
04NotebookLM
05Lovable
Advanced prompting
Get more useful outputs with clearer context, inputs and constraints—and less rework.
Workflows
Turn successful interactions into repeatable methods the wider team can use.
AI agents
Delegate multi-step work while keeping clear human oversight and accountability.
Want your team to move beyond experimentation?
Discuss team training
Michael Libens
An advisor who understands the program—not just the tool.
Michael Libens brings more than 30 years of experience across enterprise technology, complex global programs and Digital Transformation. Clients get AI guidance grounded in the realities of governance, suppliers, stakeholders, executive decisions and adoption—not theory alone.
- Enterprise systems
- Program leadership
- Applied AI
Start with the right opportunity
Where should AI create value first?
A focused conversation can help clarify the best starting point: professional education, implementation advisory or team training.