Is your compliance team buried in spreadsheets, underwriters flagging borderline loans, and mortgage applications piling up? It’s a familiar scenario, but failing to meet presumption-of-compliance standards can quickly trigger regulatory scrutiny.
The smartest way to stay ahead is with analytical dashboards, especially those built in Power BI. Blending Microsoft and mortgage gives you clear insights into ability-to-repay ratios, loan-level exceptions, and audit readiness. With 38% of mortgage executives unsure if they’re using the right tools, choosing the right dashboard framework is key.
Wondering how to get started? This blog explores why visualizing presumption-of-compliance metrics matters and how a few ready-to-use Power BI templates turn your approach proactive.
Table of Contents:1. What Is Presumption of Compliance? 2. How Does Power BI Help in Compliance Tracking? 3. 4 Custom Power BI Templates to Visualize Presumption of Compliance
4. Key Tips to Implement These Power BI Templates 5. Key Takeaways 6. Want Dashboards Tailored For Your Compliance Metrics? Start Here 7. FAQs |
In mortgage lending, loans should be issued only when there’s reasonable certainty that the borrower can meet Ability-to-Repay (ATR) requirements. Presumption of Compliance gives lenders legal protection when a loan meets Qualified Mortgage (QM) standards.
Here are the QM criteria that come into play:
If the loan qualifies for safe harbor, it gets full protection and is priced as a standard loan
If it qualifies under a rebuttable presumption, it’s treated as a higher-priced loan with limited protection
Remember, without Presumption of Compliance, your business risks legal penalties, costly loan repurchase demands, and audit exposure.
Here are key metrics to evaluate when verifying Presumption of Compliance:
Debt-to-income (DTI) ratio: Compares total monthly debt to gross income and should be less than 43%
Points and fees threshold: Includes all upfront charges (origination, broker, etc.). It must not exceed 3% of the total loan amount
Loan term: Must be 30 years or less; longer terms introduce repayment risk and often disqualify the loan
Interest-only or balloon features: Flags risky structures like interest-only or balloon payments. These are commonly used in collateral-based lending but are not QM-compliant
Verification and documentation: Confirms all income, employment, assets, and debts are fully verified
Tracking whether you’re protected by Presumption of Compliance manually often means spreadsheets and line-by-line reviews. That invites human error, data overload, and delayed issue identification. Power BI enters the fray with automated, real-time calculations and easy-to-comprehend visualization.
Before getting into how to use it, let’s break down the key advantages of using Power BI in mortgage lending, especially for tracking Presumption of Compliance metrics:
Quick data consolidation: Power BI pulls data from the loan originating system (LOS) and Excel sources into one unified dashboard. This ensures you’re evaluating all metrics in the right context and not in isolation.
Risk visualization: Dashboards highlight red-flag loans using visual cues like color coding, scorecards, and filters. Loans at risk of falling outside QM thresholds become easier to spot before they’re funded.
Automated summaries: Power BI can create a loan health report by cohort, geography, or underwriter. Plus, it can be scheduled on a larger scale to support faster reviews and consistent approvals.
Proactive issue flagging: Built-in rules and alerts can flag missing documentation or high-risk pricing instantly. Power BI also enables predictive analytics, allowing you to course-correct before audit or secondary market pushback.
Power BI is a powerful tool, but without the right design strategy, it’s easy to get lost in the complexity. If you’re focused on Presumption of Compliance, a targeted template is key.
Here are four structures to set up for quick, accurate, and effective monitoring.
This dashboard gives a real-time snapshot of loans categorized as safe harbor, rebuttable presumption, and non-QM. It helps lenders proactively monitor loan eligibility and reduce regulatory risk by surfacing outliers early.
Donut chart: Visualizes each QM status and shows what percentage of your mortgage pipeline is at risk
Horizontal bar graph: Tracks DTI ratios, highlighting loans above the 43% threshold that jeopardize QM status
Scatter plot: Compares total points and fees across loan amounts to catch pricing violations that may cross the 3% cap.
Data grid with conditional icons: Flags interest-only or balloon payment features disallowed under QM guidelines
Stacked column chart: Maps loan terms by duration, pinpointing any outliers that exceed 30 years or fall short of QM requirements
This heatmap-based template shows how well each loan meets the 8 ATR underwriting factors. It visually prioritizes which files are fully documented and which may pose a compliance risk.
Heatmap matrix: Presents loans as rows and ATR factors as columns, color-coded from green (compliant) to red (incomplete)
Checkbox visuals: Confirms employment and income documentation, offering a quick pass/fail at a glance
Gradient bar: Displays monthly debt-to-income ratios, turning red when nearing or exceeding safe thresholds
Side column tables with drill-downs: Summarize credit flags like late payments or thin files for deeper review
Warning icons: Automatically flag missing, outdated, or invalid borrower documents
This dashboard tracks compliance health across the loan origination, underwriting, and closing stages. It ensures real-time monitoring of SLA breaches, review delays, and ATR/QM checks throughout the lifecycle.
Sankey diagram: Maps how loans flow through each pipeline stage, making drop-offs and delays immediately visible
Gantt-style view: Monitors document collection and approval timelines, flagging any that exceed SLA windows
Progress bar: Reflects underwriter review completions and pending tasks by compliance category
KPI tiles: Display active escalation flags, such as missing ATR documentation or exception overrides
Stacked bar chart: Compares clearance rates for ATR/QM at each pipeline stage, helping assess where most risks are introduced
This reporting template organizes all compliance-related data into a format auditors can easily interpret. It reduces prep time and enhances your ability to demonstrate full ATR/QM documentation and decision-making logic.
Filterable data table: Organizes loan-level information by region, loan officer, risk category, and compliance status
Interactive timeline: Captures reviewer activity, document uploads, and decision timestamps to establish a clear audit trail
Bar chart: Tallies exceptions by category, like DTI breaches or incomplete files, to focus remediation efforts
KPI tiles: Shows audit-readiness scores per loan, with color indicators for high-, medium-, and low-risk profiles
Line graph: Tracks changes in exception rates or compliance performance over time to spot improvement trends or regressions
Getting started is simpler than you think, especially with the right guidance. These best practices will help your compliance dashboards go from idea to impact with minimal disruption and maximum ROI.
Start with one dashboard: Begin with the area posing the most risk, like QM compliance or audit readiness. Focusing on one template helps refine sources, visuals, and workflows before scaling
Use dummy data first: Design and test dashboards using anonymized or sample data. It allows experimentation without compliance risks and helps uncover data gaps early
Collaborate with compliance teams: Design metrics and visualizations alongside compliance officers. Their input on key metrics, thresholds, and visual cues ensures dashboards are practical and audit-aligned
Automate refreshes: Schedule daily or weekly data refreshes depending on the dashboard. Automation keeps insights current and eliminates manual reporting delays
Train your teams: Ensure users know how to interpret dashboards. Use quick walkthroughs or visual guides to help teams identify risks, drill into data, and act confidently
Remember that the right data must be in place before visualizing Presumption of Compliance. Microsoft Power BI is all about visualizing insights, not creating them.
Presumption of Compliance protects lenders from regulatory and repurchase risks when QM standards are met
Key metrics like DTI, loan term, and points/fees must be continuously monitored to ensure Qualified Mortgage status
Power BI dashboards automate compliance tracking, replacing spreadsheets with real-time, visual insights
Four custom templates, from QM checklists to audit reports, help lenders focus on specific risk points across the loan pipeline
Implementation is straightforward, especially when using dummy data, involving compliance teams early, and automating refreshes
Presumption of Compliance builds stronger lending strategies and supports long-term risk mitigation. Integrating Power BI into your monitoring process reduces human error, speeds up application review, and reinforces your organization’s compliance framework.
With targeted metrics and real-time visualizations, you can track Qualified Mortgage eligibility, detect risk patterns early, and stay audit-ready without manual guesswork.
Mortgage Workspace offers customizable dashboards that integrate with planning systems and databases. With Mortgage BI, your business has a dedicated intelligence solution for proactive compliance and smarter lending decisions.
Skip the spreadsheet chaos. See your compliance story come alive with a free demo!
These are loan attributes that determine whether a mortgage qualifies for “safe harbor” or “rebuttable presumption” under federal ATR/QM rules, such as DTI ratio, loan term, and total points and fees.
Yes. Power BI dashboards can visualize compliance status for every loan by integrating data from your LOS and internal systems.
Not necessarily. Mortgage Workspaces offers pre-built templates and implementation support so compliance officers, underwriters, and executives can start using them with minimal training.