Recover with evidence
When client-instructed change pushed forecast completion back by several months, the required finish date remained fixed. The project team needed a credible recovery plan supported by evidence that management and the client could inspect.
This guide follows The Herne Group’s approach to identifying, testing and implementing recovery measures using Nodes & Links. It covers the practical decisions behind process improvements, targeted fast-tracking and changes to commissioning working patterns.
You’ll see how generative, agentic and predictive AI supported the analysis, alongside the delivery expertise, commercial judgement and approvals needed to put each intervention into practice.
Follow the recovery
The initial analysis identified up to 39 calendar days of scenario-modeled recovery potential across several possible interventions.
The team then assessed feasibility, selected measures, secured agreement and implemented changes. By the September update, the project reported 15 days of improvement from implemented changes.
The guide follows these stages and explains how the team developed potential opportunities into approved recovery actions.
The project results
Who it’s for
Written for planners, schedulers, project controls specialists and delivery leaders working on complex capital programs.
If you’re managing recovery, risk, change or acceleration, this guide offers a practical example of how auditable AI can help you investigate more options and strengthen the evidence behind your decisions.
Contents
Inside the guide: The recovery story
Find the options
Explore recovery opportunities that were identified across working hours, sequencing, resources, documentation and schedule logic.
Test feasibility
Assess the potential interventions against resource availability, cost, commissioning requirements, risk and client approval.
Stabilise delivery
Follow the process improvements that helped control the growing schedule variance, including earlier preparation and documentation activity.
Support approval
See how scenario evidence informed decisions about targeted fast-tracking and working days for selected commissioning activities.
Monitor recovery
Learn how the team used schedule updates and risk information to track improvements and identify further mitigation opportunities.
Trace the evidence
Understand how project data, analysis, assumptions and outputs supported recommendations that stakeholders could review.