RevEL AIV
Automated Affordability Assessments for Mortgages
Accelerate standard mortgage decisions while reducing risk. RevEL Automated Income Verification (AIV) makes lending faster, simpler, and more cost-effective for lenders and brokers.
Improve Lending Confidence
Automate granular affordability assessments to approve mortgages faster with confidence.
Streamline Application Workflows
Reduce friction between brokers and underwriters to increase throughput while maintaining compliance.
Elevate Customer Experience
Become the lender of choice for brokers and borrowers with faster submissions, shorter wait times, and better prices due to reduced operational costs.
STREAMLINE LENDER WORKFLOWS
Turn Complex Data into Actionable Insights
Lenders have to review more applicant financial data than ever, but RevEL AIV ensures it never slows down the mortgage origination process:
- Leverage automation purpose-built to fit into lenders’ workflows seamlessly
- Generate observable, actionable outputs with meaningful added value
- Save brokers and underwriters time, frustration, and manual effort
Why Digilytics
Data You Can Use. Partners You Can Trust
RevEl AIV is the product of deep industry expertise, not generic AI capabilities:
million
Mortgage-specific terms contextualized for UK’s lenders
billion
UK Income documents processed for model training
Proven data extraction accuracy
FAQs
Explore RevEL AIV
How accurate is RevEL AIV at a document and field level?
RevEL AIV is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
Does the platform provide confidence scores for extracted data?
Yes. Every extracted field is returned with an associated confidence score. These scores can be consumed downstream or used to trigger validation workflows, exceptions, or human review based on configurable thresholds.
Can validation rules be configured?
Yes. RevEL AIV includes a no-code rules engine aligned to the 4C principles: Completeness, Correctness, Consistency, and Compliance.
Validation rules can be configured and updated by authorised users to reflect changes in lending policy or regulatory requirements.
Is document processing real-time?
Processing is near real-time. Typical response times depend on document length and complexity. For example, a 10–15 page, three-month bank statement is processed within seconds to minutes under normal operating conditions.
How are errors or extraction issues handled?
If anomalies or low-confidence fields are detected, they are flagged automatically and returned with metadata explaining the issue. This allows downstream systems or users to take corrective action without manual investigation.
What document types and variants are supported?
RevEL AIV supports a broad range of document types across UK and US lending journeys, including multiple variants within each document type. Coverage continues to expand as new formats and layouts are encountered.
How long does it take to support a new document type or variant?
- New variant of an existing document: typically picked up automatically by the learning models.
- Net-new document type: depending on complexity, support can be added in as little as 1 week, extending up to a few weeks for highly complex formats.
How long does implementation typically take?
Implementation timelines depend on factors such as document scope, integration method (UI or API), and output requirements.
In a best-case standalone setup, RevEL AIV can be production-ready in 2–3 weeks.
How complex is integration with existing systems?
Integration complexity is generally low to medium. RevEL AIV offers well-defined APIs and UI-based workflows and has already been integrated with multiple custom LOS and POS platforms.
How is pricing structured?
Pricing is custom and deployment-specific, based on document volumes, document types, integration requirements, and usage patterns. Final pricing is agreed following solution scoping.