Mosaic utilizes a forward-looking expected loss model to provide
transparency and insight for risk management, due diligence, and CECL preparation
Dive into your portfolio with Mosaic
Make proactive decisions. Focus on growth. Increase earning potential.
Reporting and analytics for loan portfolio, production, and surveillance. Mosaic stores and maintains historic risk-runs providing the ability to trends risk and performance attributes.
Mosaic covers CECL requirements with multiple economic scenarios, unique institutional factors and external inputs to provide expected loss at the loan level.
Forward-looking process using a regression analysis on several variables at the loan-level, borrower-level, collateral-level, institution-level, and micro & macro economic information.
Loan level risk grading, Probability of Default, Loss Severity, and risk reporting. Mosaic stores and maintains historic risk-runs, every credit union has the ability to trends risk and performance attributes.
Track and monitor collateral values for real estate, vehicle, and other collateral based loans. Refreshed values are provided using P360's real estate indexing and collateral depreciation schedules.
Identify lending opportunities and "what-if" scenario risk based pricing provide tools to make proactive decisions to focus on growth and profitability.
Drive ahead of the curve with loan-level Expected Loss Transform your data into useful information. Gain actionable intelligence.
In addition to reporting and risk, Mosaic is a data repository that stores your loan data over time for powerful reporting.
Monitor your portfolio, identify concentration risk, stay on top of collateral values, and perform multi-dimensional portfolio analysis.
Identify production characteristics by different focuses including branch and loan officer production.
Monitor production to stay on top of your lending and profitability goals. Find out how your production is shaping your loan portfolio.
Mosaic manages CECL requirements and provides multiple economic scenarios so that lenders have sufficient data to model their own estimated losses.
Including Risk Grades, Probability of Default, Loss Severity, Expected Loss (ALLL), and risk reporting.