Download free resources on construction claims management in PDF format.
| Resource Type | Title | Description | Format | Download |
|---|---|---|---|---|
| Report | AI in Construction Claims: Solving Real Problems for the People Who Need It Most | Many AI initiatives fail to deliver meaningful results because they are designed from the top down, without truly addressing the day-to-day operational challenges of claims management. The reality is that construction claims are built, or lost on the ground level. | Download | |
| Framework | Construction Claims Management Maturity Framework (CC2MF) | CC2MF is our proprietary framework for assessing the maturity of claims management processes in construction companies, from SMEs to large firms across six areas. | Download | |
| Case Study | Transforming Claims Management for a Leading Housing Association | For years, a Tier 1 UK housing association and builder (G15 Member) had been navigating a storm of construction claims, project delays, and escalating legal fees. This case study highlights how we created a blueprint for UK housing associations. | Download | |
| Report | Why Agentic AI Is Doomed in Construction Claims and Dispute Resolution (For Now) | Agentic AI in construction claims? Not so fast. This article explores why fully autonomous AI is doomed in construction claims—and why the future lies in AI-assisted expertise, not AI-led decisions. | Download | |
| Report | Why Construction Claims Management is Ripe for AI-Driven Process Optimisation | Construction claims are complex, requiring precise analysis and extensive documentation. Yet, many claims professionals spend more time searching for records and compiling data than on substantive analysis. AI-driven process optimisation can change this. | Download | |
| Case Study | How ClaimMaster.ai Simplifies Claims for Construction Professionals | Discover how ClaimMaster.ai makes claims faster, clearer, and stress-free with AI-powered guidance. No more paperwork headaches—just simple, structured, and successful claims. | Download |