Programme Overview
A two-day programme for project and programme professionals in any sector. It covers how AI is reshaping every phase of project delivery — from planning and estimation, through execution, risk management and stakeholder communication, to closure. Participants learn to integrate AI tools into their project-management workflow, to use AI as an assistant for estimation, scheduling and risk analysis, and to adapt governance, reporting and quality assurance for AI-supported delivery. The programme applies to traditional, agile and hybrid delivery approaches, and to construction, IT, government, enterprise-transformation and engineering contexts.
Learning Objectives
By the end of this programme, participants will be able to:
- Describe how AI is reshaping the project-management profession and identify the phases most affected.
- Use AI tools for project documentation, reporting, stakeholder communication and meeting preparation.
- Apply AI to estimation, scheduling and risk analysis with appropriate verification.
- Adapt governance, reporting and quality assurance for AI-supported project delivery.
- Identify where AI reduces delivery risk and where it may introduce new risk.
- Lead the conversation with sponsors, teams and vendors on AI-related scope, value and assurances.
Programme Content & Modules
Day 1: The project-management landscape and AI in practice
How AI is reshaping the project-management profession. The shift from documentation-heavy work to insight-driven work. Where AI integrates across the project life cycle in traditional, agile and hybrid approaches. Global benchmarks and the Kingdom’s project landscape, including giga-project environments.
Practical work with AI assistants for project documentation, status reporting, meeting minutes, action tracking and stakeholder communication. Prompt-engineering patterns specific to project management. A tour of AI-enhanced project-management, collaboration and scheduling platforms.
Day 2: AI-supported decision-making and responsible practice
Using AI for estimation, scenario analysis and risk identification. Combining AI output with professional judgement. Governance of project-data quality. A group exercise on a realistic, AI-supported delivery scenario.
Adapting governance, quality assurance and reporting for AI-supported work. Managing contractors and vendors when AI sits within the delivery chain. The implications of SDAIA, the PDPL and intellectual property for project data. Applied capstone project: each participant prepares a plan to integrate AI into a live project of their own.
Suggested Duration
Two training days.
Target Audience & Prerequisites
Target audience: Project managers, programme managers, portfolio managers, PMO managers, project controllers, delivery managers and Scrum Masters in government, construction, engineering, IT, consulting and enterprise transformation. The programme suits holders of PMP, PRINCE2, AgilePM and similar certifications.
Prerequisites: Practical project-management experience in any delivery approach. Basic computer literacy. No prior background in AI or programming is required. A laptop is required for the hands-on sessions.
