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title: AIxPM PMI Serbia Chapter
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Discover how AI transforms project risk management in this real-world PMI conference case
[View the Case Study](https://pmi-serbia.rs/ai#psc_case_study)
# PMI Serbia AIxPM
The AIxPM Team represents a dedicated group of PMI Serbia Chapter members who, on a volunteer basis, explore existing and develop new ways to practically apply artificial intelligence (AI) tools in the world of project management.
Learn More
[Join Us](https://pmirs.atlassian.net/servicedesk/customer/portal/1/group/1/create/10011?summary=I+want+to+be+part+of+PMI+Serbia+AIxPM+Team%21)
## Who?
The team brings together professionals from various fields such as project managers, IT experts, analysts, consultants, and innovators with a shared goal of improving the tools, methods, and processes used to plan, monitor, and execute projects.
## How?
Through collaboration, experimental projects, and knowledge sharing, the AIxPM Team explores how AI can contribute to smarter planning, risk assessment, decision-making, and more efficient communication in projects and agile product development.
## What?
The focus of the team is on practical solutions and tools that connect technology and project management, from predictive analytics and automation to the use of generative models in the everyday tasks of project managers and other functions.
## Meet the team
The AIxPM Team is open to all members of the PMI community who wish to contribute with ideas, research, and initiatives that shape the future of project management through AI.
[Join Us](https://pmirs.atlassian.net/servicedesk/customer/portal/1/group/1/create/10011?summary=I+want+to+be+part+of+PMI+Serbia+AIxPM+Team%21)
### Ana Božić
Program & Project Manager skilled in leading large-scale strategic initiatives in software, digital transformation, telecom, privacy & finance. PMP-certified, passionate about AI in PM, PMI mentor empowering future leaders.
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### Borka Radovanović
AIxPM Team Lead at PMI Serbia. PMP-certified, works as senior adviser in Serbia’s Ministry of Info & Telecom. Experienced in EU affairs, Brussels & international cooperation. Passionate about AI in PM & building public-private bridges.
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### Vladan Pantović, PhD
Electrical & Computer Engineer, seasoned exec & PM in banking, ICT, finance & public services. Assoc. Prof. at Faculty of Project & Innovation Mgmt. Holds PMP, CGEIT, CISM, CDPSE, ISMS LA & CCM.
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### Dejan Nešković
Project & Program Manager with 10+ years in SaaS, data & infrastructure. Passionate about strategy, tech & people. PMI AI Team member driving AI-powered PM practices & digital transformation.
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### Miloš Pejčić
PMP, CSM & Lean Six Sigma Black Belt professional skilled in project, process & organizational management. Expert in quality assurance, business process improvement, sales ops & digital transformation.
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### Nikola Vojtek, PhD
Nikola Vojtek, PhD – AI & engineering lead, expert in IT, biometrics, finance & supply chain. Creator of Agilist game & Jira PM add-ons. PMI Serbia Board & AI Team member driving AI in project management.
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### Nikola Mirilo
IT Project Manager expert in Agile & Lean for software dev. Freelance full-stack web developer passionate about Artificial Intelligence & blockchain. Certified CAPM & Lean Six Sigma Specialist.
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### Sunčica Vasiljević
Project Manager for EU research & innovation projects. Expert in proposal development & sustainability-focused process improvement. PhD student exploring AI tools for product/process impact evaluation.
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### Danka Jokić
Senior Project Manager & AI Expert with 25+ years in digital transformation. PMP-certified and PhD NLP researcher, blending academic rigor with enterprise delivery and AI-powered PM innovation.
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### Ivan Šljivar
Career Strategist, mentor, author, and speaker with global experience and US MS & MBA degrees. PMI-ACP certified, former PMI chapter Education Director, empowering professionals to design careers with purpose.
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### Case Study 01: AI in Risk Management
Here you can find a practical example of applying artificial intelligence in the field of risk management, which was presented at the PMI conference as a concrete case demonstrating how AI can enhance risk identification, analysis, and decision-making in a project environment.
The material includes:
- [A presentation (PPT)](https://pmiserbia.sharepoint.com/:f:/g/IgCWNG9GpgPuQKmKK9rCv-edAcNCicgWV7lWtEQ9A0Fi3EE?e=9x7EPB) providing an overview of the concept and approach
- A demo recording demonstrating the practical application of the solution in a real-life scenario (on the right hand side)
The showcase was developed as a result of teamwork by:
[Nikola Mirilo](https://www.linkedin.com/in/nikola-mirilo/), [Sunčica Vasiljević](https://www.linkedin.com/in/suncicavasiljevic/), [Ana Božić](https://www.linkedin.com/in/ana-bo%C5%BEi%C4%87-a1857966/), and [Miloš Pejčić](https://www.linkedin.com/in/milos-pejcic-pmp%C2%AE-1807a525/), with the goal of bringing AI closer to project managers through a clear, practical, and real-world example.
Play video
## Case Study 02: AI in Daily Project Work - Automating the Routine, Enhancing the Strategic
Modern project managers spend a significant portion of their time on recurring operational tasks, preparing reports, consolidating resource information, analyzing sprint progress, summarizing retrospectives, and producing stakeholder communications. While essential, these activities are highly manual and often pull attention away from strategic leadership and decision‑making. This use case demonstrates how AI can automate 60-80% of these daily project management tasks using readily available tools.
[The use case presents an end‑to‑end framework](https://pmiserbia.sharepoint.com/:f:/g/IgASjzDaw9n3Sb68div1g3nNAZvMYG9tPmvXmZNyPGD8UIU?e=2Rv1ta) showing how raw project inputs such as Jira exports, meeting notes, resource plans, sprint metrics, can be transformed by AI into actionable insights. AI rapidly generates sprint summaries, identifies risks and mitigation ideas, prioritizes backlog items, structures weekly executive updates, synthesizes retrospective themes, and highlights resource bottlenecks. Across six task categories, project managers who participated in the evaluation reported strong reductions in effort and overall high satisfaction with the quality of AI‑generated outputs, particularly for structured and repeatable tasks such as reporting and summarization.
By automating routine work, AI enables project managers to redirect their time toward leadership, stakeholder engagement, and higher‑value decision activities. The use case reinforces a practical takeaway: AI is strongest where inputs are structured, and the output format is predictable, while areas requiring contextual judgment continue to benefit from PM oversight. Most importantly, the approach requires no new system integration. AI can be deployed immediately within existing project environments, making it an accessible accelerator for any delivery team.
The showcase was developed as a result of teamwork by [Dejan Nešković PhD](https://www.linkedin.com/in/dneskovic/), and [Nikola Vojtek, PhD](https://www.linkedin.com/in/nikolavojtek/).
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**PMI Serbia Chapter**
Milutina Milankovica 11g
11070 New Belgrade
Serbia
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