Part 2 of a 3 Part Series – Read Part 1 Here
Project Management & AI – What do we need to empower ourselves?
Below are the basic Project Management tasks that will be performed in each phase of the PMLC. To improve our overall delivery of the successful project, do you think that AI managed decision support, along with automation can complete the project on time and budget? Let us review that in detail.
- Administration of Project Management Plan
- KPI and other Project Performance Metrics
- Change Management & ITSM tools (JIRA, IBM Remedy etc.,)
- Budgeting and other financial control procedures (Using AI to manage and control budget utilizing the basic Gating mechanism to avoid any cost overrun)
- Project Management Methodologies (New techniques such as Agile, KANBAN, Lean, Six Sigma)
- Project Closure and Lessons Learned – (How AI can help us to record these automatically based on the issues that were documented in this journey.)
- Resource Management (Using AI to manage resources efficiently)
- RISK Management (Early warning to identify Project Risk and mitigate to avoid any derailment of the project)
- Communication & Stakeholder Management
- Maintaining better Business Relationship Management
- Quality Assurance and Intelligent Testing (Using AI to Identify quality issues and improve better testing techniques)
In a traditional PM world, this phase is critical. Great planning requires an initial draft of the Project Plan, which outlines all key tasks and milestones. Preparation of the Project Plan is easily achievable whereas, administering the plan requires manual effort, especially updating estimates, reporting schedule progress, tracking and managing times for each task. These can be automated using an advanced planning tool, similar to “LiquidPlanner”. Evidently, the experienced PM can be trained in similar AI based tools, ensuring that they are skilled with automation effectively.
KPI & Performance Metrics
KPI & Performance Metrics is another important task required by all PM professionals to manage. In the traditional PM world, these will be driven through a Project Metrics dashboard, where the overall performance of the project is closely tracked using Excel or a similar tool. Currently, there are various AI based features that are built-in, to determine each task and track its overall progress. Some of the intuitive tools to track and integrate into Microsoft Project are “Primavera Construction Planning, Trello, ServiceNow, Salesforce or Power BI”. These tools can generate visuals and other related KPI on the overall performance of the project. For example. some of these tools (Trello or ServiceNow) can predict a confident rate of success to complete a specific task and this is driven based on the estimate details that was provided as an input. As an experienced or novice PM, it is important to empower ourselves in learning these AI based PM tools, so that we can be more productive and can cope with traditional to AI transition in the PM world.
Resource Management is one of the vital activities to be performed by all the Project / Program Managers. To have a successful delivery of any project, availability of the resources is key and this can pose as a risk to the entire Program/Project. In the Project Management world, Project Managers will manually create resource sheets or manage resources within the MS-Project.
Managing the resources manually is always a risk and scheduling each individual based on their current workload of other engagement is a repetitive task. Using RPA (Robotic Process Automation), we can reduce the repetition of manual tasks for project managers, by linking and merging data from different Project Management Systems, to discover a similar pattern. Moreover, AI can be used to identify resource ramping issues and other related resourcing difficulties, with the help of integration to the Project Management System.
Overall, AI can be used intelligently to resolve various Resource Management risks efficiently. As Project Management Professionals, we need to adapt to learning new techniques and tools to support this transition. One downside which we all must acknowledge, is to ensure that all the data we are feeding to any AI system should be accurate, requiring very strong prior project management experience.
RPA is a very interesting area and Project Managers can embrace themselves into this new world. Industries such as logistics, and supply chain can use the RPA to build better algorithms to determine better delivery of the product to the end customer efficiently. Similarly, as Project Management professionals, we can use RPA to enhance forecasting, estimation, and optimization, along with better utilization of resources. Recent studies show that being equipped with these techniques will allow Project Managers and in the next 5 to 10 years various organizations will feel the differences due to AI adoption.
Continued in Part 3
……. AI Transformation continues …….
Part 2 of a 3 Part Series – Read Part 1 Here
Tell me your thoughts in the comments and let’s open a dialog. I would be excited to hear other opinions on this topic.
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Sridhar has been associated with the IT industry for the past 20+ years with a prime focus in:
• Project and Portfolio Program Management: Expert at delivering large-scale projects within the allotted budget and period while mitigating risks in collaboration with teams of project, sustainment and service leaders, coordinators, and technicians
• Strategic Planning and Implementation: Adept at creating and implementing strategies to increase project agility, optimize operational efficiency, and substantially reduce cost
• Business Consulting: Equipped with the ability to provide professional consulting to various clients based on their needs• Customer Relationship Management: Effective at establishing and maintaining strong relationships with business and IT stakeholders, covering the entire commercial, risk, and opportunity development aspects of the services provided
• Interpersonal Coordination and Team Building: Efficient at serving as an escalation point for the customer, while working with service managers from outsourcing service lines based on SLAs and client expectations; as well as serving as vice president of memberships at ABPMP, Toronto Chapter and board member of IPMA Canada
• PMO: Instrumental in establishing PMO for Financial and Insurance clients to adapt PMO Process and procedures to the customer. As part of the PMO built a center of excellence to manage various PM & Portfolio standard and manage both onshore and offshore clients.
Articles by Sridhar Kethandapatti - CLICK HERE