Augmenting Project Delivery with AI: Strategy to Hands On Implementation

AI Revolutionizing Project Controls
This one-day workshop, brought to you by Project Controls Expo Meet in collaboration with ACES/EA—moves you from reports to predictions.

AI is transforming project planning, management, and delivery. Project controls and PMO professionals will gain strategic insights, practical frameworks, live demonstrations, and hands-on exercises covering the full AI lifecycle—from governance and strategy to AI agents and real workflow integration.

Whether you handle schedules, risks, costs, contracts, or stakeholders, discover how AI drives smarter, faster project outcomes.

Key Takeaways

• Build strategic AI foundation and governance for project delivery
• Identify high-value AI use cases in project controls and PMO workflows
• Hands-on with AI tools, prompt engineering, + AI agents
• Safe adoption roadmap: governance, security, risk management
• Phased implementation from personal productivity tools to enterprise scale

Info: Welcome, introductions, and course overview; objectives of the day; AI maturity in organisations and expectations; and why AI matters for project managers now will be discussed.

Info: This module will cover what AI is, key terminology (ML, NLP, LLMs, Agents, RPA, Generative AI), the evolution of AI from expert systems to ML, to LLMs, to autonomous agents, the current landscape and major capability shifts, where AI is heading including agentic workflows, automation and judgement, project management augmentation, and opportunities and limitations.

Info: This module will cover how AI is transforming project management domains, including schedule creation and optimisation, risk modelling and forecasting, cost estimating and trending, stakeholder communications, contract, procurement, and scope management, and lessons learned automation (MS Project AI, Primavera AI plugins). It will also include an introduction to prompt engineering for project managers, covering precision prompting, role prompting, constraints and structured prompts, chain-of-thought prompting, and common patterns.

Info: This module will cover the AI maturity model for project delivery organisations, identifying the highest-value project management use cases, the operating model for AI in PMOs, skills uplift for project managers, planners, controllers, and commercial teams, and change management considerations.

Info: This module will cover defining the objective, creating the agent’s role or persona, structuring instructions and knowledge, testing on project management documents (risk registers, scopes, schedules, etc.), evaluating output and refining prompts, and establishing guardrails for safe agent behaviour.

Info: This module will cover categories of AI risks in project environments, including hallucinations, bias, overautomation, version drift and quality issues, and misaligned decision-making. It will also cover data governance essentials, such as identifying data sensitivity (project documents, commercial data, personal information), secure versus insecure use of AI tools, differences between enterprise and consumer AI, data classification for project management artefacts, and organisational policies and controls.

Info: This module will cover ethical considerations in AI for project managers, including transparency and auditability of AI-assisted project decisions, accountability frameworks, risk mitigation strategies, practical rules for responsible AI in project work, and case examples of ethical and unethical AI usage in project environments.

Info: Wrap-up will include key takeaways, next steps, tools and templates to take away, recommended learning pathways, and a Q&A.

Know what’s Happening Next — before everyone else does.

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Host or Publisher PCE Meet