IT departments and project managers are under increasing pressure to deliver projects faster, more cost-effectively and of a higher quality. Their customers demand rapid innovation, reliability and flawless delivery of complex systems. We have chosen to use AI to help our customers meet these challenges and boost their project management practices.
why AI is becoming essential for project management
Managing complex IT projects involves orchestrating diverse technologies, teams, schedules and risks. Project managers are often juggling multiple responsibilities, from assigning tasks to monitoring progress, assessing risks and communicating with stakeholders. The traditional tools that support project management, while effective in the past, now struggle to cope with the fast pace and complexity inherent in modern IT environments.
AI offers practical, real-world solutions by automating mundane tasks, predicting potential risks, optimising resource allocation and improving decision-making processes.
According to the Project Management Institute, 82% of senior leaders say AI will have at least some impact on how projects are run at their organization over the next five years. Switzerland, renowned for innovation and quality, is already ahead of this curve.
our investment in AI domains to improve project management
At Itecor, we are actively investing in the integration of AI to transform and optimise project management. AI offers a wide range of possibilities, but we have chosen to adopt a pragmatic approach focusing, depending on the context of the projects, on the main areas where AI brings a real plus to project management.
Predictive analysis
and risk management
One of the most significant results of our investment in AI is the improvement of risk management through predictive analytics. By examining historical project data and integrating real-time data, risk factors such as resource bottlenecks or external dependencies have been quickly identified by AI tools, helping to reduce risk and keep projects on schedule.
Automated planning and resource optimisation
We are finding that AI is also improving resource planning and management, traditionally time-consuming and error-prone tasks. AI algorithms can better allocate tasks according to resource availability and skills. These improvements increase project productivity. A study by MIT Sloan found that when generative AI is used within its capabilities, it can improve a highly skilled worker’s performance by nearly 40% compared to those not using it.
Performance
and quality assurance
AI also delivers excellent results in a discipline that is very important to us: optimising quality assurance (QA). By continuously analysing project data, quality deviations are better detected at the earliest stages of the development cycle.
Automated AI systems make it possible to compare deliverables against predefined criteria in real time, quickly identifying inconsistencies or errors.
some recommendations to prepare your organisation for the adoption of AI
Successful integration of AI into project management requires thoughtful preparation:
- Identify clear use cases: Prioritize AI applications that directly address your organization’s most pressing project management challenges.
- Invest in training: Equip project teams with skills to effectively utilize AI tools, ensuring smooth transitions and maximized
benefits. - Focus on data quality: High-quality, accurate data significantly enhances AI’s effectiveness.
- Balance human and AI inputs: Recognize that while AI excels at analysis and predictions, human judgment remains essential for strategic decisions and relationship management.
putting AI to work in project management
By integrating AI into project management processes, we are seeing concrete results being achieved very quickly. This has a positive impact on efficiency by enabling more proactive risk management, better optimisation of resources and higher quality deliverables. AI frees managers from routine tasks, allowing them to concentrate on higher value-added activities such as strategic planning and team leadership. In a world where the future is already tomorrow, AI is a key lever for shaping the future of project management.
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