How a Regional Bank Streamlined a $93B CRE Portfolio with AI

Industry
Regional Bank – Full-Service CRE Lending
Challenge
A regional bank faced inefficiencies from manual CRE portfolio management and siloed data, limiting scalability and insights.
Results
Reduced manual data entry by 80%, improved portfolio accessibility, and enabled AI-driven risk assessment for smarter, faster decision-making.
Key Product
Portfolio Intelligence
By leveraging Blooma’s AI-powered Portfolio Intelligence, this regional bank reduced manual data entry by 80%, seamlessly migrated a $93B CRE portfolio, and onboarded 70+ users—boosting efficiency and scaling operations without adding complexity.

About the Client
This regional bank provides full-service commercial real estate (CRE) lending solutions, financing projects across retail, industrial, multifamily, and office properties. As a trusted lender for developers and investors, they focus on scalability, operational efficiency, and risk management to meet growing market demands. However, as the bank’s portfolio expanded, outdated manual processes and fragmented data sources created bottlenecks in underwriting, risk analysis, and overall portfolio management.
The Challenge
Despite its strong market presence, the bank faced increasing difficulty in scaling operations efficiently. Their underwriting and portfolio review processes were heavily reliant on manual data entry, spreadsheets, and siloed internal systems, which created several key challenges:
• Slow, resource-intensive workflows bogged down underwriters, reducing transaction speed and efficiency.
• Fragmented portfolio data across multiple platforms limited accessibility and cross-team collaboration.
• Inconsistent underwriting methodologies led to inefficiencies and potential risk exposure.
• Minimal real-time risk monitoring, making it difficult to proactively manage emerging risks.
With a growing CRE portfolio and increasing regulatory scrutiny, the bank needed a technology-driven solution that could centralize data, enhance automation, and provide real-time insights to improve decision-making.
The Solution
To modernize its approach, the bank partnered with Blooma to implement AI-powered Portfolio Intelligence, automating key processes and optimizing portfolio management. By integrating Blooma’s AI-driven platform, the bank transitioned from reactive, manual workflows to proactive, data-driven decision-making.
Key Features Implemented:
✅ Automated Data Ingestion – Eliminated manual entry errors, saving underwriters valuable time.
✅ Centralized Portfolio Data – Provided real-time access to a structured, searchable database.
✅ Custom Underwriting Templates & Reports – Standardized workflows for greater efficiency and consistency.
✅ AI-Powered Risk Assessment & Early Alerts – Enabled proactive portfolio monitoring to mitigate risk before it escalated.
By shifting to Blooma’s AI-enhanced, fully integrated solution, the bank unlocked new levels of efficiency, accuracy, and scalability, allowing its team to handle a larger portfolio without additional headcount.
The Results
The bank’s transition to Blooma’s AI-driven platform delivered immediate, measurable improvements:
🚀 80% reduction in manual data entry, allowing underwriters to focus on high-value analysis.
📊 $93BN CRE portfolio successfully migrated, improving accessibility and portfolio consistency.
👥 70+ CRE professionals onboarded, with positive adoption and usability feedback.
📈 AI-powered custom reporting & insights, enhancing strategic portfolio management.
🔗 API development underway, ensuring long-term scalability and seamless system integration.
By integrating Blooma’s Portfolio Intelligence, the bank not only streamlined its operations but also positioned itself as an industry leader in digital transformation. With AI-driven insights, automated workflows, and real-time risk assessment, they strengthened risk management, increased efficiency, and scaled their lending capabilities without added complexity.
What Can YOU Do with Blooma?
Monitor Your Portfolio in Real-Time: Track portfolio performance and identify emerging risks before they impact your bottom line with AI-driven monitoring and risk alerts.
Scale Your Operations Without Adding Complexity: Automate pre-screening and eliminate repetitive manual tasks, allowing your team to handle more deals with greater accuracy.
Stay Ahead of Market Changes: Leverage real-time, AI-normalized market data to make smarter, faster lending decisions and maintain a competitive edge.