AI Wont Fix Inaccurate Reporting: A Project Leaders Guide to Data Readiness

AI won’t improve project outcomes if your reporting data is outdated, inaccurate, incomplete, or siloed—because it will automate errors and amplify inconsistencies. This white paper explains how poor data readiness leads to flawed schedules, unreliable cost forecasts, compliance risk, and low stakeholder trust. It provides an AI readiness roadmap: audit and cleanse data, integrate and centralize sources, establish governance and validation, then train and continuously refine models. Practical tips help leaders separate AI for data processing from AI for decision‑making and validate outputs against historical performance.