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Case study

Finding the real critical path on a capital project

A late construction program, a schedule with 4,000 lines, and the AI-assisted review that found the three constraints nobody was talking about.

Sector

Capital program, engineering and construction

Themes
Project recoverySchedule riskPrograms

The situation

A multi-contractor construction program was reporting a six-month slip and asking for more money. The integrated schedule had grown to thousands of activities across several contractor files. Nobody in the program office could say with confidence what was really driving the date.

What changed

An independent assessment combined classic schedule quality checks with AI-assisted reading of contractor narratives, meeting minutes and change logs. The machine work was to cross-reference thousands of pages for the same three questions: what is constrained, what is assumed, and what has changed. The human work was to sit with the planners and test what the analysis suggested.

Three constraints emerged that were not on any risk register: a permit sequence that forced a winter outage, a long-lead item ordered against an outdated specification, and a shared crane between two contractors with no agreed schedule.

The result

The re-plan recovered part of the slip by re-sequencing around the permit window and resolving the crane conflict in one meeting. The remaining delay was presented to the board with a quantified risk range instead of a single date, which the board accepted.

What it teaches

  • AI is excellent at reading everything. People are needed to decide what it means.
  • Most schedule risk lives in documents, not in the schedule file.
  • Boards accept ranges when they come with a plan.

A composite drawn from our engagement work and published practice. Details are generalized and no client is identified.

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