Build a Custom Lending Dashboard Using AI in Minutes
Describe your Lending Dashboard in plain English and create a production-ready build, from design and development to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Lending Dashboard
The origination funnel and early cohort performance together, so growth is judged on how the loans behave.
Cohort Based Early Performance
Arrears are grouped by origination month and channel, which is the earliest reliable signal that underwriting has loosened.
First Payment Default Tracked
Loans failing at the first payment are isolated, since that pattern usually points at process or fraud rather than credit deterioration.
Decision Outcomes by Channel
Approval, decline and referral rates are compared by source, revealing channels sending applications you consistently reject.
Approval to Drawdown Leakage
Approved applications that never fund are quantified with reasons, which is often the cheapest available growth.
Risk Adjusted Margin
Rate achieved is set against cost of funds and expected loss, so pricing is assessed on what remains rather than on headline rate.
New Lending against the Book
The risk profile of recent lending is compared with the existing portfolio, showing whether growth is changing the book's character.
Lending Dashboard Use Cases You Can Build in Minutes

Find the Growth You Already Paid For
Applications received by channel and product, decline and approval rates with decline reasons, referrals to manual review and their outcomes, approvals not proceeding to drawdown with reasons, time from application to decision and conversion by channel.
window.awbMockup = { originationFunnel: "Build a lending dashboard showing applications received by channel and product, decline and approval rates with decline reasons, referrals to manual review and their outcomes, approvals not proceeding to drawdown with reasons, median time from application to decision and to funding, and conversion at each stage by channel.", earlyPerformance: "Build a lending quality dashboard showing arrears rates at 30, 60 and 90 days by origination month, product and channel, first payment defaults as a share of new lending, arrears rate by credit grade against the expectation at underwriting, cohorts performing worse than those before them, and the channels producing the weakest early performance.", pricingAndMargin: "Build a lending margin dashboard showing average rate achieved by product, grade and channel against cost of funds, margin after expected loss, rate distribution within each grade, discounts applied against list pricing, margin trend over 12 months, and products where risk adjusted margin is below target.", portfolioComposition: "Build a lending book dashboard showing balances by product, grade, term and channel, new lending mix against the existing book, concentration by borrower type and geography, average loan size and term trend, loans approaching maturity or refinance, and how the risk profile of new lending compares with the book."};

Spot Loosening Underwriting by Vintage
Arrears at thirty, sixty and ninety days by origination month, product and channel, first payment defaults as a share of new lending, arrears by credit grade against the expectation at underwriting, cohorts performing worse than earlier ones and weak channels.
window.awbMockup = { originationFunnel: "Build a lending dashboard showing applications received by channel and product, decline and approval rates with decline reasons, referrals to manual review and their outcomes, approvals not proceeding to drawdown with reasons, median time from application to decision and to funding, and conversion at each stage by channel.", earlyPerformance: "Build a lending quality dashboard showing arrears rates at 30, 60 and 90 days by origination month, product and channel, first payment defaults as a share of new lending, arrears rate by credit grade against the expectation at underwriting, cohorts performing worse than those before them, and the channels producing the weakest early performance.", pricingAndMargin: "Build a lending margin dashboard showing average rate achieved by product, grade and channel against cost of funds, margin after expected loss, rate distribution within each grade, discounts applied against list pricing, margin trend over 12 months, and products where risk adjusted margin is below target.", portfolioComposition: "Build a lending book dashboard showing balances by product, grade, term and channel, new lending mix against the existing book, concentration by borrower type and geography, average loan size and term trend, loans approaching maturity or refinance, and how the risk profile of new lending compares with the book."};

Price on What Remains after Expected Loss
Average rate achieved by product, grade and channel against cost of funds, margin after expected loss, rate distribution within each grade, discounts applied against list pricing, twelve month margin trend and products below target risk adjusted margin.
window.awbMockup = { originationFunnel: "Build a lending dashboard showing applications received by channel and product, decline and approval rates with decline reasons, referrals to manual review and their outcomes, approvals not proceeding to drawdown with reasons, median time from application to decision and to funding, and conversion at each stage by channel.", earlyPerformance: "Build a lending quality dashboard showing arrears rates at 30, 60 and 90 days by origination month, product and channel, first payment defaults as a share of new lending, arrears rate by credit grade against the expectation at underwriting, cohorts performing worse than those before them, and the channels producing the weakest early performance.", pricingAndMargin: "Build a lending margin dashboard showing average rate achieved by product, grade and channel against cost of funds, margin after expected loss, rate distribution within each grade, discounts applied against list pricing, margin trend over 12 months, and products where risk adjusted margin is below target.", portfolioComposition: "Build a lending book dashboard showing balances by product, grade, term and channel, new lending mix against the existing book, concentration by borrower type and geography, average loan size and term trend, loans approaching maturity or refinance, and how the risk profile of new lending compares with the book."};

Watch the Book's Character Change
Balances by product, grade, term and channel, new lending mix against the existing book, concentration by borrower type and geography, average loan size and term trend, loans approaching maturity and how new lending compares with the book.
Watch the Book's Character Change
Balances by product, grade, term and channel, new lending mix against the existing book, concentration by borrower type and geography, average loan size and term trend, loans approaching maturity and how new lending compares with the book.
Build a custom lending dashboard in 4 simple steps
Track the origination funnel and early book performance together, so lending growth is judged on how the loans behave rather than on volume written.
Start with applications and decision outcomes, approval to drawdown conversion, time to decision, pricing and margin, and early arrears by origination cohort. Emergent builds around your products and decision process.
Link your application system, credit decision records and loan servicing data. Emergent follows each application through to repayment behaviour, so underwriting quality is measured rather than assumed.
Ask to add a lending product, alter a credit grade, change an arrears definition or adjust expected loss assumptions, and origination and book views rebuild together.
Deploy one build where origination sees the funnel and conversion, credit sees early performance by cohort and finance sees margin and volume. Growth targets are set with quality visible.
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