AI+ Project Management Office Practitioner™

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
German

Training Solutions
WalkIn®

The role of the PMO is evolving from an administrative hub into a strategic management unit. Artificial intelligence is expanding the possibilities for structuring complex projects and making informed decisions.

Key topics:

  • Transformation of the PMO through AI.
  • Data-driven management models.
  • Increased efficiency through automation.
  • Transparent decision-making processes.
  • Future-proof organizational structures.

Prerequisite
Experience in project or process management

Target audience
PMO leads, executives, transformation managers

Strong project organizations emerge where technology is strategically deployed to sustainably increase clarity, speed, and impact.

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Course Content
  • AI Fundamentals for the PMO
  • Strategic Development of the PMO
  • Ethics, Bias, and Change Management
  • Use Case: Justifying an Investment in an AI Tool to Reduce Project Failure Rates
  • Case Study: GlobalTech – Creating a Business Case for the AI-Driven Transformation of the PMO
  • Practical Exercise: Drafting an AI-Supported PMO Charter Using ChatGPT
  • Beyond the Gantt Chart
  • Generative Project Design
  • Dynamic Schedule Optimization
  • Case Study: FinServ Launchpad – Replanning a Problematic Project with AI
  • Practical example: Performing a schedule risk simulation
  • From Spreadsheets to Smart Solutions
  • Predictive capacity forecasts
  • Optimization Considering Costs and Well-being
  • Use Case: Optimizing Resource Allocation Across Multiple Projects Without Burnout
  • Case Study: Integration of the HealthPlus System – Creating a Unified Resource Plan Following a Merger
  • Practical example: Create an optimized resource allocation plan
  • Proactive Risk Detection
  • Automated escalation and mitigation of issues
  • Quantification of risk impacts
  • Use Case: Identifying Risks Based on Project Communication
  • Case Study: Scaling an E-Commerce Platform – Crisis Prevention Through an AI Early Warning System
  • Practical example: Configuring a dashboard for risk early warnings
  • Conversation-Based Reporting & NLP
  • Automated Status Reports & Summary
  • Predictive Assessment of Portfolio Health
  • Case Study: National Energy Corp – Strategy Development Using Conversational Analysis
  • Practical Example: Conducting a Conversation-Based Portfolio Analysis
  • AI-powered sentiment analysis
  • Automated reporting for stakeholder engagement
  • Generative AI for creating communication drafts
  • Use Case: Managing Stakeholder Sentiment in Projects with High Public Visibility
  • Case Study: Expansion of the subway network – using sentiment analysis to improve public acceptance
  • Practical example: Creation of a dashboard for stakeholder sentiment with an action plan
  • Tool Selection and Vendor Evaluation
  • Development of a phased implementation plan
  • Measuring success and calculating ROI
  • Use Case: Developing a Phased Plan for Strategic AI Investments
  • Case Study: Quantum Leap Solutions – A 12-Month Transformation
  • Practical exercise: Create your 90-day action plan for the AI-PMO
  • Adapting AI Tools to the Needs of PMOs
  • Creating AI-powered PMO dashboards
  • Integration of AI into legacy systems
  • Use Case: Advanced AI Integration for Large PMOs
  • Case Study: TechGlobal – Challenges in AI Integration
  • Practical example: Creating customized PMO dashboards with AI insights
  • AI in Governance and Compliance
  • Automating Compliance Reporting with AI
  • AI-powered auditing and monitoring
  • Use Case: Managing PMO Governance with AI
  • Case Study: ABC Bank – Integrating AI into Compliance
  • Practical Example: Implementing an AI-powered Compliance System
  • AI and Crisis Prevention
  • Use of AI for rapid problem detection
  • AI-supported crisis management plans
  • Use Case: AI-powered real-time project crisis management
  • Case Study: StyleHaven Retail – Supply Chain Crisis Averted Through AI
  • Practical example: Development of an AI-supported crisis management plan
  • Scaling AI solutions across multiple projects
  • Managing AI for large portfolios
  • Building an AI PMO culture
  • Use Case: Scaling AI Tools in a Multinational PMO
  • Case Study: Global PMO Initiative for AI Scaling – Enterprise-wide Adoption of AI
  • Practical example: Developing a comprehensive PMO control tower application
  • Generative AI for Strategic Project Management
  • Autonomous PMO Operations
  • New Technologies and Integration

Frequently Asked Questions

  • Structured implementation of AI projects, measurable efficiency gains in the PMO, and clear decision-making criteria instead of trial and error.
  • A lack of governance, unclear processes, and insufficient integration with the PMO—this is exactly where the course comes in, offering practical frameworks.
  • For anyone who not only understands AI but also wants to use it strategically in project management to deliver visibly better results.
  • AI governance, use case evaluation, risk management, automation in the PMO, and scalable implementation strategies.
  • Right after the course—with tools, templates, and clear process models you can put to use immediately in your daily work.
  • Focus on AI integration rather than theory: real-world use cases, data-driven decisions, and future-oriented skills.
  • A competitive disadvantage, inefficient processes, and missed opportunities for automation—a clear cost factor in the long run.
  • A stronger profile in a rapidly growing sector, better positioning for leadership roles, and greater market appeal.

Do you have any further questions? Please contact us.