Automating Deal Underwriting at CBRE
Thank you, Jean, for exploring how we can help you transform your underwriting processes. Based on our discussions around deal volumes, document complexity, and risk analysis, here’s our tailored approach to automate and accelerate your real estate investment underwriting:
At ITMAGINATION, we specialize in harnessing cloud-native AI solutions to modernize complex financial workflows. Our goal is to equip your underwriting team with intelligent tools so you can focus on strategic decision-making rather than manual data entry.
1. Understanding Your Objectives
- Speed & Accuracy: You need to reduce manual reviews and eliminate data-entry errors across term sheets, rent rolls, and title reports.
- Scalability: Your team handles hundreds of deals monthly – the solution must scale seamlessly.
- Risk Insights: You want AI-driven analytics and copilot recommendations to flag covenant breaches or unusual loan terms.
2. Proposed Solution Architecture
Document Process Automation
We’ll implement end-to-end document ingestion and data extraction pipelines that:
- Automatically ingest PDFs, scanned leases, loan agreements, and appraisals.
- Extract key fields (LTV, interest rates, NOI, tenant covenants) with > 95% accuracy using Azure Form Recognizer.
- Validate and reconcile extracted data against your ERP or core loan origination system.
Knowledge Mining & Analytics
By indexing all your unstructured asset data, we enable:
- Real-time search (“Show me all assets in Berlin with DSCR < 1.2”).
- Interactive dashboards for portfolio-level KPIs (IRR, vacancy rate, cap rate).
- Automated risk scoring models that learn from historical deal performance.
Azure AI Foundry Underwriting Copilot
Our custom copilot will:
- Summarize deal terms and highlight anomalies based on your underwriting criteria.
- Run sensitivity analyses on rent growth, cap-rate assumptions, and margin stress-tests.
- Provide clause recommendations by comparing current deals against a repository of past transactions.
3. Proven Expertise & Case Studies
- Nestlé Document Automation: We reduced invoice processing time by 90% across 5 departments, integrating end-to-end with SAP. This same document-centric approach applies directly to your lease, loan, and due-diligence pipelines. (Nestlé Case Study)
- Azure AI Foundry Deployments: We’ve built and scaled multiple AI-powered assistants on Azure, combining OpenAI models with proprietary data connectors for financial services and manufacturing clients.
4. Why ITMAGINATION?
- Deep expertise in Data & AI on Azure.
- Proven track record in Document Process Automation and Knowledge Mining.
- Flexible, collaborative approach – we embed within your team for faster ROI.
- End-to-end delivery: from architecture and POC to production roll-out and support.
5. Next Steps
1. Align on scope: volume of deals, systems integration points, and key risk metrics.
2. Phase 1 PoC: In 6–8 weeks, deliver a working underwriting assistant for a pilot portfolio.
3. Scale to production: Expand to full deal volumes with ongoing optimization and support.
If you have any questions or want to adjust the scope, we’re here to help. I look forward to discussing how we can drive efficiency and risk management for your underwriting operations at CBRE.