Dr.sc. Jasna Pleho & Elvir Ćesko
How AI will transform
agile project
management?
Jasna Pleho Elvir Ćesko
Agile Project Manager Agile Project Manager
DženAI
Assistent Project Manager
Agenda
1. Intro: What is AI and why we need it?
2. What are all the tasks that a PM does?
3. What AI tools for the PM profession are available now?
4. What can be automated with existing tools?
5. What are the implications for the PM profession?
6. Conclusion: AI vs Human
3
1.Intro: What is AI
and why we need
it?
4
• Researchers in a new study have
assigned a company that uses AI to
develop 70 different programs.
They found that AI was capable of
developing software in less than 7
minutes at a price of less than $1
on average.
AI bots were given tasks and were
able to talk, make logical
decisions, and debug fixes.
7
Artificial
intelligence
Machine
learning
Neural
network
Deep
learning
Natural
language
processing
Cognitive
computing
Computer
vision
Machine learning
Supervised learning
• Classification of
images
Spam detection
Credit risk
assessment
Unsupervised learning
• Detecting forms in
unmarked data.
• Grouping
• Anomaly detection
• Product
recommendation
Enhanced learning
• Learning based on
feedback or reward.
• Playing games
• Robotics
• Autonomous
vehicles
Assisted
intelligence
Automated
intelligence
Augumented
intelligence
Autonomous
intelligence
HARDWIRED/SPECIFIC
SYSTEMS
ADAPTIVE SYSTEMS
What are all
the tasks that a
PM does?
10
11
DOMAINS ALIGNED TO REAL-LIFE PRACTICES
1.People 2. Process 3. Business Environment
Managing Conflict Managing Budget Managing Compliance
Leading a Team Managing Schedule Delivering Project Benefits
Team Building Managing Procurement Evaluate changes for impact on scope
Collaboration Managing Scope Support Organizational Change
Mentor relevant stakeholders Establish Project
Governance
Ensure Knowledge
Transfer
DOMAINS ALIGNED TO REAL-LIFE PRACTICES
What AI tools for
the PM
profession are
available now?
12
Short term (5 years)
Tools for complex tasks
Project planning
Project execution
Monitoring
13
Improved tools
Schedule meetings
Risk prediction
Resource Allocation
Long term (5+ years)
14
Collaboration and
Communication:
Project Planning and
Management:
Predictive Analytics and
Reporting:
Slack ClickUp Wrike
MS Teams Monday.com LiquidPlanner
Jira Trello Zoho Projects
Confluence Asana Scoro
Teamwork Smartsheet Clarizen
Basecamp Proggio
How many of
you have
already used
Artificial
Intelligence?
What can be
automated
with existing
tools?
17
WHAT CAN BE AUTOMATED (AND WE ALREADY USE A LOT)
• Schedule and assign tasks
• Time tracking and reporting
• Communication and cooperation
• Allocation of resources
• Budget tracking
• Risk management
18
What are the
implications for
the PM
profession?
19
Automate routine
tasks
Improved analytics
and forecasting
Increased
efficiency and
productivity
Change the role of
project
manager/agile
roles
20
AI and Agile project management
Real-time
Data Analysis
Resource
Allocation
Prioritization
Predictive
Analytics
Efficiency
Improvements
Quality
Assurance
Data-Driven
Insights
Data-Driven
Insights
Feedback
Loops
Personalized
Agile
Practices
Conclusion: AI
vs Human
22
Luddite
movement
Protest
against cars
Resistance to
vaccination
Opposition to
industrial
revolution
Resistance to
digital
revolution
Human interaction and
empathy
Creative thinking Experience and
strategic thinking
Adapt to changes
24
Source:
Artificial Intelligence and Project Management A Global
Chapter-Led Survey 2024
https://www.pmi.org/-
/media/pmi/documents/public/pdf/artificial-
intelligence/community-led-ai-and-project-management-
report.pdf?rev=bca2428c1bbf4f6792f521a95333b4df
“It is not the strongest of the
species that survives; nor the
most intelligent that survives.
It is the one that is most
adaptable to change.”
Charles Darwin
Questions
27
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How AI will transform agile project management by Jasna Pleho and Elvir Ćesko