The Workforce Ahead: Designing and Planning for…
AI-Powered RFP Automation for Real Estate
Sia helped an industrial real estate client redesign RFP preparation through a controlled, AI-powered drafting workflow that integrates property, market and commercial data, improves data quality and enables reliable expansion across RFP types and markets.
Context
In industrial real estate, commercial teams spend a great deal of time preparing requests for proposals (RFPs), because documents, property data and business rules are fragmented. Document AI can speed this up, but only if the underlying property data can be trusted.
An industrial real estate client wanted to redesign how its teams prepare new and renewal RFPs.
Client Challenge
The client needed to:
- Reduce the time commercial teams spend preparing RFPs.
- Bring fragmented documents, property data and business rules together.
- Fix the data-quality and property-identification issues limiting reliability.
What Sia Did
Sia helped redesign the preparation of new and renewal RFPs across industrial markets:
- Controlled drafting workflow: bringing property, market and commercial information together into a controlled drafting workflow.
- Data quality: addressing the data-quality and property-identification issues limiting reliability.
- Validation: establishing business-approved test cases and validation controls before broader deployment.
Results & Outlook
The client gained a trusted RFP drafting workflow with a clear expansion path: from an initial drafting use case to a trusted workflow, then to additional RFP types, markets and commercial decisions.
By combining document AI, data quality and human-in-the-loop controls, Sia helps commercial teams move faster on data they can trust.