INFOGRAPHIC to more informed decision-making and efficient resource allocation .
“ Al will operate as a persistent monitor of executive demand , constantly seeking evidence that the organisation can execute on its plans ,” added Cousins . “ New and existing projects will be monitored in real-time for sufficient resourcing as overcommitted resources become the best predictor of project failure . Exponential IT will shift leadership ’ s focus from project approval to benefits realisation , bringing back the gravity of a long-term commitment to deliver .”
The newly published research underscores a pivotal shift in project and portfolio management , emphasising the need for IT and PPM leaders to focus on outcomes rather than just project completion . This approach is crucial in an era where AI and exponential technologies are not only tools but strategic partners in achieving project success and organisational objectives .
To effectively navigate this transformative landscape , Info-Tech recommends in the blueprint the following key actions for IT and PPM leaders :
1 . Solve problems , not calendars : Automate traditional PMO capabilities – IT leaders should drive the automation of routine PMO tasks such as project planning , scheduling and governance . This initiative will enable project management teams to shift their focus from administrative duties to strategic problem-solving and forward-looking tasks .
2 . Plan in real time : Let AI run ongoing resource allocation – AI systems can be utilised to dynamically manage the balance between resource supply and project demand . This approach allows IT and PPM leaders to make informed , agile decisions based on real-time data to enhance project planning and execution .
3 . Trust , but verify : Enable true accountability – IT and PPM leaders must ensure that those accountable for projects are continually engaged and making decisions that align with the best interests of shareholders and stakeholders . AI tools can be utilised to monitor and verify that these decisions optimise project outcomes and organisational value .
4 . AI augments team : Let AI fill in project portfolio , investment risk and change management gaps – IT departments should integrate AI to support project management teams , particularly in auditing project portfolios , assessing investment risks and implementing changes effectively . AI ’ s analytical and predictive capabilities will complement human expertise , leading to more robust and efficient project management .
Info-Tech ’ s research highlights a new era in managing projects and portfolios , where AI and technological advancements play a pivotal role .
By implementing the recommended strategies , organisations can not only streamline their project management processes but also ensure that their projects are more strategically aligned and outcome-focused .
This shift toward a more dynamic , AI-integrated approach in project management is essential for organisations to thrive in an increasingly complex and fast-paced technological landscape , driving innovation and delivering tangible business results . � www . intelligentfin . tech
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