When coaching, training, and mentoring roles such as Scrum Masters, Agile Coaches, Enterprise Agile Coaches, Program Managers, Portfolio Managers, Project Managers, Product Owners, Product Managers, and similar positions, I find that a significant portion of their work involves administrative tasks. To help them become more creative, effective, and productive, I focus on offloading these tasks.
Administrative work includes creating documents, reviewing hundreds or thousands of pages to extract key insights, attending meetings to gather essential information, drafting emails, managing escalations, and preparing PowerPoint presentations, Excel sheets, Word documents, and other materials.
Additionally, tasks like developing customized stakeholder management strategies, creating Epics and User Stories, day-to-day operations management, Scope Management, Business Case Creation/Review, and making effective data-driven decisions are also part of our daily responsibilities.
This is where Agile AI becomes crucial, functioning both as:
1. An assistant
2. A stakeholder
By leveraging Agile AI in projects, products, and services using frameworks such as Scrum, SAFe, Kanban, Scrumban, XP, and other hybrid approaches, you can save 30-40% of your time.
This freed-up bandwidth can be redirected to foster creativity within yourself and your team, helping everyone embrace the Agile AI mindset and build AI aptitude. As a result, you can accomplish more in less time, increasing effectiveness and driving better outcomes.
As an Agile Coach, my focus is on evaluating how well Product Owners (POs), Product Managers (PMs), and relevant stakeholders are adding value. This includes assessing how effectively they manage scope, develop stakeholder management strategies, make data-driven decisions, conduct solution reviews, manage risks, and more.
For instance, when reviewing user stories, using AI to assist in user story creation improves acceptance criteria, measurement criteria, and other relevant elements. This not only enhances quality and reduces rework but also makes the review process more efficient and less time-consuming.
The same principles apply when leveraging AI and Actionable Agile AI for scope management, decision-making, stakeholder management strategies, and similar activities, all while encouraging the responsible and ethical usage of AI.
If you're eager to dive deeper and explore these concepts, join Dileep Appupillai in the Artificial Intelligence Professional Agilist (AIPA) program offered by LAAU®, Home of Actionable Agile AI, scheduled for December 21, 2024.
For more details, feel free to reach out to Meera, Nikhil, Adithyan, or me directly.
#LAAU #AI #Agile #Scrum #Leadership #SAFe #Kanban #AgileAI #PM #ScrumMaster #AgileCoach #ProjectManager #productOwner #PO #SM
