2. Workflow for Project Management

During this implementation phase, we focus on developing the Workflow for Project Management, which serves as procedural documentation for organizing work processes within the Project Management System (PMS).

For the workflow, we can base it on the ISO 21500 series standards, including:

1. ISO 21500:2021 “Context and Concepts”
2. ISO 21502:2020 “Guidelines on Project Management”
3. ISO 21503:2022 “Guidelines on Programme Management”
4. ISO 21504:2022 “Guidelines on Portfolio Management”
5. ISO 21505:2017 “Guidelines on Governance”
6. ISO/TR 21506:2018 “Vocabulary”
7. ISO 21508:2018 “Earned Value Management”
8. ISO 21511:2018 ” Work Breakdown Structures”

By leveraging ISO standards, we offer several advantages:

• Alignment of project management terminology on a national and international level.
• Harmonization of the Customer’s framework with state and international standards.
• Increased conformity of products, processes, and services for project management.
• Elimination of trade obstacles, particularly for government orders.
• Promotion of scientific and technical cooperation.

However, we are flexible to accommodate other project management standards or frameworks as per the Customer’s requirements.

The Workflow for Project Management undergoes verification through real projects, ensuring project management aligns with the developed processes and tools. Adjustments are made as necessary to optimize its effectiveness.

The workflow is designed as Microsoft Power Automate (or another chosen system) and seamlessly integrated into the PMS. With business processes directly within the PMS, users can perform tasks in a prescribed sequence, receive process instructions within the interface, access document templates easily, and identify opportunities for process improvement.

As an additional component, we provide short project management training to key employees, allowing them to effectively utilize the created workflow and enhance their project management skills.

AI Integration within the Workflow for Project Management:

• Process Optimization: AI can continuously monitor business processes within the PMS and suggest adjustments to improve efficiency, such as automating repetitive tasks or identifying process bottlenecks.
• AI-Driven Compliance Checks: AI tools can automatically verify adherence to ISO standards or the customer’s chosen framework, reducing manual effort and errors.
• Insights for Role Assignments: Machine learning algorithms can analyze historical project data to recommend optimal role assignments based on skills, past performance, and project needs.
• Dynamic Template Customization: AI-powered systems can adapt templates (e.g., risk registers or change logs) based on project type, complexity, or historical data, ensuring relevance and reducing setup time.
• Real-Time Stakeholder Engagement: AI can enhance communication by identifying the best times and methods to engage stakeholders, ensuring timely notifications and responses.
• Training and Knowledge Sharing: AI-driven training platforms can provide personalized guidance to employees, helping them master new workflow and business processes efficiently.

Key outcomes of this stage include:

• Clear definitions and frameworks for tasks, projects, project programs, and project portfolios, including the development and adjustment of a classification mechanism.
• A comprehensive project initiation procedure outlining the roles of project initiators and customers, with mechanisms for accurate budget calculation, clarification, and changes.
• Clearly defined responsibilities and authority of project managers, with a rigorous selection process for project managers.
• Formalized roles and responsibilities of other project participants, efficient distribution of functions and workload, and incentive rewards tied to project results.
• Precisely defined project management and implementation processes, visualized through a diagram illustrating the workflow within the PMS.
• A comprehensive package of project templates, including classifiers, statutes, basic plans, change and issue logs, risk registers, and change request forms, enhanced with AI for customization and relevance.
• A robust change management procedure encompassing the identification, agreement, tracking, and analysis of changes throughout the project lifecycle.
• Configured stakeholder information points for effective communication and engagement.
• Seamless integration of project management business processes into the PMS, supported by AI-driven automation and decision-making tools.

Through the workflow, we break down the PMS into elementary blocks, ensuring that each role performs specific processes using designated tools at each stage of project management. This approach allows for continuous improvement of both the PMS and the workflow itself. For instance, AI can monitor recurring issues, such as notifying project participants after changes, and suggest improvements to tools, processes, or training to address these challenges effectively.

An example of a diagram of working with PMS