PCI AI in Project Controls Conference.
Bringing together the responsible use of AI in delivery.
Overview
PCI AI in Project Controls Conference is intended to bring the project-controls community together around the responsible use of AI in delivery. Practical AI, governance and human-oversight sessions for practitioners. PCI’s events programme is in development; dates and formats will be published ahead of time.
At a glance
What to expect
- Expert sessions across planning, cost, forecasting, risk and AI
- Practical, scenario-led content tied to the body of knowledge
- Networking with peers and the wider community
- Updates on the PCI standard and PCL-AI credential
Be first to know.
The events programme is being built. Register your interest through request information to hear when dates and details are announced. PCI does not advertise events that are not yet scheduled.
Common questions
When is the next event?
Event dates are published ahead of time as the programme develops. With chapters still being established, the calendar is growing from a deliberate starting point rather than a long-running schedule. The most reliable way to hear about sessions as they are confirmed is through membership and your local chapter, which increasingly drive what runs where.
Who can attend?
Events are generally open to practising professionals, leaders and students, with the exact audience depending on the session. Some are broad community or learning events open to anyone interested; others, such as candidate preparation sessions, are aimed at a specific group. Where an event has particular requirements, they are made clear when it is announced.
Are events online or in person?
Both formats are intended, and the format is confirmed with each event. Online webinars make learning accessible wherever you are, while chapter and networking events bring people together locally. As chapters establish themselves, the balance of online and in-person activity will grow with them.
Why this matters
This matters because a credential earns its value from substance, not marketing — clear standards, fair process, transparent governance and honesty about status. Everything in the institute's resources is written to that test: genuinely useful to professionals and employers, and never claiming more than is true today.
PCI builds in the open. That means being candid about what is in place and what is still developing, refusing to publish invented data or figures it cannot stand behind, and letting the community shape what gets prioritised. Trust, earned this way, is harder to lose.
- Substance over marketing
- Fair, transparent process
- Honesty about our status
- Responsible, governed use of AI
How the programme is organised
The conference is being designed around three strands, so practitioners can follow a coherent thread through the day rather than a grab-bag of talks:
AI in the disciplines
Applied sessions on AI in planning and scheduling, cost engineering, forecasting and risk — grounded in real project-controls workflows rather than generic demonstrations.
Governance and assurance
How organisations govern AI-assisted analysis: policy, auditability, model limitations, and what "defensible" means when an algorithm contributed to the number.
Human oversight in practice
The accountability layer — review, challenge, escalation and sign-off — treated as a working skill rather than a slogan, in line with PCI's human oversight policy.
Who should attend
The programme is built for people who have to make AI work inside real delivery environments, not admire it from a distance:
- Planners, schedulers, cost engineers and risk analysts already experimenting with AI tools — or being asked to by their organisations.
- PMO and functional leads deciding what to adopt, what to govern, and what to decline.
- Employers weighing capability, assurance and training needs across a controls team.
- PCL-AI candidates and members who want the governed-AI portions of the body of knowledge brought to life by people applying them.
No prior AI expertise is assumed. Sessions are planned to be graded by depth, so a practitioner encountering these tools for the first time and a lead already governing them at scale can each find a thread that stretches them.
Evidence over hype
The organising rule for content is simple: worked examples over promises. Sessions are expected to show inputs, method and failure modes — including where AI performed badly — because practitioners learn more from an honest post-mortem than from a polished success story. Vendor participation, where it happens, follows the same rule: show the workflow, name the limitations, take the hard questions. Dates and format will be published once confirmed; the events page is the place to watch, and registering your interest ensures you hear first. Until then, we would rather announce nothing than announce something we cannot yet stand behind.