How to optimise AI tools for Project Management?
The rapid rise of AI and automation may lead industries to think that the demand for Project Managers will decline.
However, for the majority of organisations, it wouldn’t be possible to navigate those complex Stakeholder relationships and lead nuanced conversations without a real life Project Manager. There is a huge focus on data and automation, but what is the value of the data without the correct parameters? It’s undeniable there is a certain level of scrutiny and soft skills that a real-life Project Manager can bring.
Taking this into consideration, it’s a good time to consider how AI can enhance projects and complement them. So how we can use this as a tool to benefit Projects?
Compile actions and lists: Use AI to monitor actions and set reminders. There are various tools available to develop transcripts from meetings and summarise key points. Microsoft Teams has implemented a comprehensive AI tool - Microsoft Copilot, to give an overview of meetings, including recordings, transcripts, and highlights of key points and decisions.
During or after meetings, AI highlights action items and gives prompts in Microsoft To-Do or Planner directly from the chat or meeting notes. This streamlines the process of tracking tasks and ensures no action items are overlooked. (Always make sure external AI note taking does not conflict with privacy regulations within your company).
Scheduling and Prioritisation: Apps such as Asana incorporate AI to automate and prioritize tasks, this enables a Project Manager to manage workload, and provide insights. It can also recommend tasks to prioritise. The better the quality information you provide to Asana, the more tailored the subtasks or actions will be.
Develop a Project Plan: With tools such as Microsoft Planner or Copilot you can define goals, define a work breakdown structure, and generate tasks and group them together to make things simpler. This facilitates the creation of a comprehensive project plan and helps streamline execution. Asana offers AI-powered features to help organize and streamline work. You can also integrate it with various tools to enhance collaboration.
Research industry and market trends: Scoping a project and horizon scanning doesn’t need to be a dragged out activity, as you can now use AI to filter case studies, user stories and identify where there are gaps or inconsistencies in data.
Compliance and Risk monitoring: Depending on the industry, there are various specific, tailored risk management systems available to meet the requirements of your organisation. AI can assist with your enterprise risk management strategy by evaluating large amounts of information, it significantly improves the ability to identify risk-relevant information; therefore, risk assessment and management will become more dynamic with AI’s continued adoption.
Data is key for the future of efficient Projects and for seamless planning within organisations. With disparities in data and repositories, AI can streamline and sort data Roughly 80% of the time spent preparing a Machine Learning algorithm for use is focused on data gathering and cleaning.
To conclude, it’s a given that using AI tools helps to make better data-driven decisions and reduce inefficiencies. This doesn’t replace the skillset and expertise of a qualified Project Manager. If you’re looking for an AI solution to enhance your current project and operations, let’s have a chat so we can work together to implement it successfully.