AUSTIN, Texas — September 2026 — xPM Solution will present Prediction AI in Project Controls at Project Controls Expo USA 2026, October 5–7 at Nationals Park, Washington, D.C. Omer Bisen, PhD, founder and CEO, will speak on October 7 in Session T10 and exhibit at Stand 39.

The session asks a practical Project Controls question: what must be in place before Prediction AI can produce forward-looking insight that is sufficiently grounded and governed to support a consequential project decision?

Structure first. Integration second. Intelligence third.

Connected systems are not necessarily integrated systems. APIs move data, but management still needs consistent meaning across scope, schedule, cost, procurement, contracts, risk, and change. xPM’s approach uses a Project Controls Plan to provide a governed project context across existing systems.

Available information is not automatically authorized evidence. Source authority, version, and project context determine whether information can support an analysis or decision.

The presentation distinguishes among three AI roles.

Generative AI helps extract, organize, summarize, and explain project evidence.

Agentic AI supports bounded workflows under defined permissions and approval gates.

Prediction AI strengthens foresight through ranges, quantiles, probabilities, and scenarios where evidence and model quality justify it. Outputs intended to influence a material decision are subject to validation and governance, including assumptions, backtesting, calibration, and visible limitations where applicable.

A forecast can inform a decision. It is not the decision.

For senior management, xPM organizes the reasoning process around five practical questions:

What should be
What happened
What is happening now
What could happen
What should be done

Different questions require different evidence and different methods.

xPM’s library contains 610+ catalog entries across Strategy, Decision, Communication, Analysis, and Forecasting, organized into 61 method families.

The number is not the point. The value lies in selecting the few methods that fit the management question, available evidence, uncertainty, and decision context.

Earlier visibility matters when management still has meaningful options to influence the outcome.

At PCE USA 2026, xPM will demonstrate the approach through a replayed Owner award decision and publicly documented external cases, separating what the evidence supported from what remained uncertain and what still required professional judgment.

Where evidence is incomplete, the output remains conditional. Where a forecast has not been computed, a number should not be presented simply to complete the page. Where management authority is required, AI does not inherit that authority from the analysis it produced.

“The useful question is not whether AI can produce more output,” Bisen said. “It is whether the output is grounded well enough, early enough, and clearly enough to improve a management decision.”

Structure first. AI last. A named human decides.

Project Controls Expo USA 2026
October 5–7, 2026 | Nationals Park, Washington, D.C.
Session T10 — Prediction AI in Project Controls | October 7
xPM Solution | Stand 39
xpmsolution.com/pce2026

About xPM Solution

xPM Solution is a Project Controls and Decision Intelligence firm serving complex capital and construction projects. Our control-first approach integrates governance, Project Controls, AI and BI to provide earlier visibility and support accountable management decisions.

The announcement includes further information on Construction Project Management.