
The Future of Project Controls: From Reporting Function to Strategic Discipline
March 17, 2026
Project Controls vs PMO — Understanding the Difference (and Why It Matters)
May 12, 2026
Reflections from a session with Roche Diagnostics
Today, I had the opportunity to deliver a session to Roche Diagnostics, sharing a holistic view on the current state of Project Controls and its future in an AI-enabled world.
The discussion reinforced a simple but powerful reality:
Project Controls is no longer just a reporting function — it is a strategic enabler of delivery certainty.
What is Project Controls — and Why Does It Matter?
At its core, Project Controls is about:
Providing the right information, to the right stakeholders, at the right time — to enable the right decisions.
It brings together planning, cost, risk, change, and performance management into a structured framework that ensures:
In increasingly complex environments — such as pharma, infrastructure, and energy — this capability is not optional. It is fundamental to successful project delivery.
Drivers Behind the Rise of Project Controls
The growing importance of Project Controls is not accidental. It is driven by:
- Increasing project complexity and scale
- Demand for governance and assurance
- Pressure on cost, schedule, and outcomes
- Need for data-driven decision-making
Organisations are no longer asking "Do we need Project Controls?" They are asking: "How mature and effective is our Project Controls capability?"
Evolution of the Discipline
Project Controls has evolved significantly:
Siloed reporting functions
Integrated performance management
Decision intelligence capability
We are moving from descriptive reporting to predictive and prescriptive insight — a shift that is redefining expectations from the function.
Global Standardisation — Progress and Gaps
There have been meaningful efforts globally to formalise Project Controls through:
- Professional bodies and frameworks
- Apprenticeships and competency standards
- Industry-specific methodologies
However, challenges remain:
- Inconsistent application across sectors
- Lack of a globally recognised maturity model
- Variability in tools, processes, and data structures
Standardisation is improving — but we are still on the journey.
AI in Project Controls — Hype vs Reality
AI is often positioned as a disruptor. In reality, it is better understood as an accelerator.
At a fundamental level:
- AI (including LLMs) supports pattern recognition, data handling, and communication
- Quantitative models (risk, estimating, scheduling) remain the backbone of the discipline
AI's relevance to Project Controls lies in its ability to:
Automate data collection and structuring
Enhance data integration across systems
Enable faster insight generation and reporting
Improve decision support through scenario analysis
However, one principle remains unchanged:
"Garbage in, garbage out."
Without clean, structured, and integrated data, AI will simply amplify noise.
Skills for the Future Project Controls Professional
As the discipline evolves, so must the skillset.
Future Project Controls professionals will need to combine:
Strong quantitative capability (core discipline)
Data literacy and digital fluency
Ability to interpret and challenge AI outputs
Commercial and strategic thinking
Stakeholder engagement and communication
The role is shifting from analyst → advisor → decision enabler.
Human + AI Partnership — The Way Forward
The future of Project Controls is not Human vs AI. It is Human + AI.
- Speed
- Scale
- Processing power
- Judgement
- Context
- Accountability
Together, they create a capability that is: More informed, more proactive, and more impactful.
Closing Reflection
The session with Roche Diagnostics highlighted that organisations are ready to embrace this shift — but success will depend on getting the fundamentals right:
Project Controls has always been about enabling better decisions.
With AI, we now have the opportunity to do this faster, deeper, and at scale.
The question is no longer if this transformation will happen — but how effectively we prepare for it.


