ERP and Financial Performance Management solutions play fundamentally different roles in a construction business — and both are essential to running profitably. While your ERP captures job costs, transactions, and project data, your FPM solution turns that data into forecasts, margin analysis, and strategic plans. This whitepaper breaks down the differences, explains how they work together, and helps you know when it's time to reassess your software environment.
Learn how to:
Understand the distinct roles of ERP and FPM — transactional record-keeping vs. forward-looking planning and analysis.
Leverage integrated data to forecast job revenue, track margin fade, and improve cash planning across all projects.
Identify the three scenarios that warrant an ERP switch — and the ones that don't.
Implement FPM before an ERP transition to protect data continuity, test your chart of accounts, and maximise ROI.
Avoid common pitfalls when ERP vendors claim to offer FPM functionality that falls short in practice.
The right combination of ERP and FPM is what separates contractors who react to margin erosion from those who prevent it. Download this whitepaper to build a smarter, more connected software strategy for your construction business.
Finance teams stuck in Excel face fragmented data, slow budgeting cycles, and limited visibility across departments. The Prophix One™ Market Report from TrustRadius compiles verified user reviews and competitive benchmarks showing how Prophix One helps organizations consolidate financial processes, simplify planning, and outperform category averages across key feature ratings.
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You wouldn’t pour a foundation without checking the soil first. That’s exactly what’s happening with AI in construction finance Boards and leadership are pushing hard for AI adoption—the promise is real: faster close cycles, forecast accuracy and a finance team that can do more without adding headcount. But most teams are being asked to deliver on that promise faster than their data and processes can support and they’re not sure what to trust or where to start. Here’s the real issue: a DIY AI tool or bolted-on chatbot can answer a question once. But finance needs a job-cost figure or WIP schedule that will be 100% accurate every time, auditable and reliable even after the person who built the tool moves on. That’s an architecture problem, not a prompting problem—which is why AI still barely cracks contractors’ top concerns for 2026, despite all the pressure to adopt it. This webinar lays out a proven, three-stage path from shaky ground to AI tooling that features finance-native, governed workflows and trusted number. This is the delegation era, where agentic AI can handle the grunt work while finance oversees, validates and decides.
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With 91% of finance AI pilots delivering low or moderate impact, the real challenge isn't speed to prototype; it's governance, security, and long-term total cost of ownership. This guide provides a framework for evaluating the build vs. buy decision based on where your organisation actually stands today.
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