Date
18.11.2026
Time
19:00 - 20:30
Location
Online Webinar
In Webinar

The Model Worked. The Project Failed

Seven real AI case files, and what PMI's AI Standard, M.O.R.E. and PMI-CPMAI™ would have caught

About the event

Most AI projects do not fail because the model is wrong. They are delivered, closed and celebrated, and then quietly ignored by the people they were built for. In this session we walk through seven real AI case files, from the predictive model that turned out to be a calendar problem to the dashboard nobody opened, and the audience diagnoses each one before the reveal. AI Ambassadors join as guest speakers to share use cases from their own organisations: what worked, what did not, and what they would do differently. We then connect the lessons to The Standard for Artificial Intelligence in Portfolio, Program, and Project Management, PMI’s M.O.R.E. view of project success and the PMI-CPMAI™ certification, and close with what project professionals can do to keep their skills competitive in an AI-driven profession.
 
LEARNING OBJECTIVES
By the end of the session, participants will be able to:
  1. Recognise when a problem does not need AI, using the Seven Patterns of AI as a test before funding.
  2. Explain why AI deployment is not AI adoption, and measure adoption with three numbers: action rate, override rate with reasons, and persistence.
  3. Describe where AI fits at portfolio, program and project level, and who is accountable at each, based on PMI’s AI Standard.
  4. Apply M.O.R.E. (Manage perceptions, Own project success, Relentlessly reassess, Expand perspective) to AI initiatives.
  5. Explain what PMI-CPMAI™ covers and how its six-phase methodology addresses the most common points of failure.
  6. Identify the skills, training and development steps that keep project professionals competitive as AI reshapes the profession.

Alina Yaneva

PfMP, PgMP, PMP, PMI-ACP, PMO-CP, CPMAI, CSPP

Alina Yaneva is the Founder and CEO of Alumerix Consulting, specialising in project management, AI implementation and change management, and the founder and lead trainer of Alumerix Academy, a PMI Authorized Training Partner (ATP). She brings more than 15 years of experience delivering and consulting on complex programmes for Fortune 500 companies. She teaches project management at graduate level at IE University and Porto Business School. Alina is a PMI AI Ambassador and an active volunteer and supporter of project management initiatives, including serving as Director of Artificial Intelligence at the PMI Bulgaria Chapter. She holds a Master’s in Management from Harvard University and a postgraduate diploma in Applied Data Science and AI from MIT.

Agenda and Logistics

Date & Time: November 18, 2026 | 19:00h

  • 19:00 – 19:05 Welcome and Introduction
  • 19:05 – 19:50 Keynote Presentation
  • 19:50 – 20:20 Live Q&A and Closing Remarks

Format: Online Webinar, link to Gppgle Meets will be sent to registered attendees. 
Language: English
PDUs: 1 PDU awarded to attendees, PMI Bulgaria will claim the PDUS on your behalf. 

Register Now
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The Model Worked. The Project Failed

Seven real AI case files, and what PMI's AI Standard, M.O.R.E. and PMI-CPMAI™ would have caught

About the event

Most AI projects do not fail because the model is wrong. They are delivered, closed and celebrated, and then quietly ignored by the people they were built for. In this session we walk through seven real AI case files, from the predictive model that turned out to be a calendar problem to the dashboard nobody opened, and the audience diagnoses each one before the reveal. AI Ambassadors join as guest speakers to share use cases from their own organisations: what worked, what did not, and what they would do differently. We then connect the lessons to The Standard for Artificial Intelligence in Portfolio, Program, and Project Management, PMI’s M.O.R.E. view of project success and the PMI-CPMAI™ certification, and close with what project professionals can do to keep their skills competitive in an AI-driven profession.
 
LEARNING OBJECTIVES
By the end of the session, participants will be able to:
  1. Recognise when a problem does not need AI, using the Seven Patterns of AI as a test before funding.
  2. Explain why AI deployment is not AI adoption, and measure adoption with three numbers: action rate, override rate with reasons, and persistence.
  3. Describe where AI fits at portfolio, program and project level, and who is accountable at each, based on PMI’s AI Standard.
  4. Apply M.O.R.E. (Manage perceptions, Own project success, Relentlessly reassess, Expand perspective) to AI initiatives.
  5. Explain what PMI-CPMAI™ covers and how its six-phase methodology addresses the most common points of failure.
  6. Identify the skills, training and development steps that keep project professionals competitive as AI reshapes the profession.

Alina Yaneva

PfMP, PgMP, PMP, PMI-ACP, PMO-CP, CPMAI, CSPP

Alina Yaneva is the Founder and CEO of Alumerix Consulting, specialising in project management, AI implementation and change management, and the founder and lead trainer of Alumerix Academy, a PMI Authorized Training Partner (ATP). She brings more than 15 years of experience delivering and consulting on complex programmes for Fortune 500 companies. She teaches project management at graduate level at IE University and Porto Business School. Alina is a PMI AI Ambassador and an active volunteer and supporter of project management initiatives, including serving as Director of Artificial Intelligence at the PMI Bulgaria Chapter. She holds a Master’s in Management from Harvard University and a postgraduate diploma in Applied Data Science and AI from MIT.

Agenda and Logistics

Date & Time: November 18, 2026 | 19:00h

  • 19:00 – 19:05 Welcome and Introduction
  • 19:05 – 19:50 Keynote Presentation
  • 19:50 – 20:20 Live Q&A and Closing Remarks

Format: Online Webinar, link to Gppgle Meets will be sent to registered attendees. 
Language: English
PDUs: 1 PDU awarded to attendees, PMI Bulgaria will claim the PDUS on your behalf. 

Register Now