Qiddiya’s megaproject uses Microsoft 365 Copilot with Power BI to consolidate data from 20 systems, reconcile asset names, auto-generate emails and reports, analyze invoices and customer sentiment, and surface delayed payments to improve visibility and team productivity.
Building Qiddiya City now uses Microsoft 365 Copilot to manage project scale and data complexity. Abdulrahman AlAli and Qiddiya Investment Company deploy Copilot through Power BI to unify workflows and surface actionable insights.
Main feature/change and impact
Copilot integrates with Power BI to query and summarize disparate datasets across 20 systems. It standardizes asset naming and reconciles contractor information. The tool highlights overdue invoices and flags comments or snags. This reduces manual reconciliation time and lowers risk of missed payments. The change improves decision speed across construction, operations, and finance teams.Practical implications
Teams can prompt Copilot to extract invoices older than 60 days and identify annotated exceptions. Copilot auto-generates emails, meeting summaries, and documents from corporate data. It handles multi-language, multi-format records and long asset IDs. Adoption cuts administrative load for 300-plus users and supports research on customer experience and attendance analytics for parks and venues.“It’s about the right way to adopt Copilot and AI in general. If you spend time in planning and designing the implementation, you would get the best out of it.”QIC reports high volume automation: hundreds of thousands of messages and tens of thousands of meeting summaries. Copilot becomes a centralized query layer for megaproject data, not a replacement for governance. Next steps include expanding Copilot prompts, enforcing naming conventions, and integrating additional systems. Implement a rollout plan that includes naming standards, prompt libraries, and verification workflows. Prioritize integration of billing, procurement, and asset databases to reduce invoice disputes. Monitor Copilot outputs for accuracy and maintain human review on critical financial and safety decisions.
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