Build a Custom Insurance Dashboard Using AI in Minutes
Turn a plain-English description of your Insurance Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building an Insurance Dashboard
Growth, retention and loss ratio reported by the same segments, so pricing and quality are read together.
Loss Ratio by Cohort
Claims are related to the premium earned on the same underwriting period, so recent business quality is visible before it matures.
Retention after Price Change
Renewal rates are compared across premium increase bands, quantifying the trade off between rate and retention.
Frequency and Severity Separated
Claims volume and average cost are reported independently, because the two require entirely different underwriting responses.
Channel Level Profitability
Loss and expense ratios split by distribution channel, revealing which routes to market produce profitable business.
Premium at Risk by Renewal
Upcoming renewals are quantified in premium, letting retention effort be directed at value rather than at volume.
Out of Guideline Business Tracked
Policies written outside standard criteria are followed for their loss experience, evidencing whether the exception was justified.
Insurance Dashboard Use Cases You Can Build in Minutes

Read Growth and Its Composition Together
Policies in force and gross written premium by product, channel and segment, new business against renewal premium, average premium and its movement, policy count growth against premium growth to reveal rate change and the growing segments.
window.awbMockup = { bookPerformance: "Build an insurance dashboard showing policies in force and gross written premium by product, channel and region, new business against lapses and cancellations, net policy movement, average premium and its trend, and products where premium is growing while policy count falls or the reverse.", retentionAndRenewal: "Build an insurance retention dashboard showing renewal rate by product, channel and customer tenure, policies approaching renewal in the next 60 days with premium at risk, lapse reasons where recorded, retention after a premium increase by increase band, and segments where retention is deteriorating.", claimsPerformance: "Build an insurance claims dashboard showing claims reported and settled by product and cause, claims frequency per hundred policies, average claim severity, loss ratio by product and underwriting cohort, claims development against reserves, open claims by age, and segments whose loss ratio has worsened.", underwritingQuality: "Build an underwriting dashboard comparing loss ratio by rating factor, distribution channel and underwriting period, business written outside standard guidelines with its loss experience, segments where premium is inadequate for observed claims, quote to bind conversion by segment, and the profitability of recent cohorts against earlier ones."};

Learn How Much Rate the Book Will Bear
Renewal rate by product, channel and customer tenure, policies lapsing relative to renewal date, lapse reasons where captured, retention against the premium increase applied, multi policy holders against single and deteriorating segments.
window.awbMockup = { bookPerformance: "Build an insurance dashboard showing policies in force and gross written premium by product, channel and region, new business against lapses and cancellations, net policy movement, average premium and its trend, and products where premium is growing while policy count falls or the reverse.", retentionAndRenewal: "Build an insurance retention dashboard showing renewal rate by product, channel and customer tenure, policies approaching renewal in the next 60 days with premium at risk, lapse reasons where recorded, retention after a premium increase by increase band, and segments where retention is deteriorating.", claimsPerformance: "Build an insurance claims dashboard showing claims reported and settled by product and cause, claims frequency per hundred policies, average claim severity, loss ratio by product and underwriting cohort, claims development against reserves, open claims by age, and segments whose loss ratio has worsened.", underwritingQuality: "Build an underwriting dashboard comparing loss ratio by rating factor, distribution channel and underwriting period, business written outside standard guidelines with its loss experience, segments where premium is inadequate for observed claims, quote to bind conversion by segment, and the profitability of recent cohorts against earlier ones."};

Separate Frequency from Severity
Claims reported and settled by product and cause, claims frequency per hundred policies, average and largest claim by category, claims open with age and reserve held, reserve movement and settlement time by claim type.
window.awbMockup = { bookPerformance: "Build an insurance dashboard showing policies in force and gross written premium by product, channel and region, new business against lapses and cancellations, net policy movement, average premium and its trend, and products where premium is growing while policy count falls or the reverse.", retentionAndRenewal: "Build an insurance retention dashboard showing renewal rate by product, channel and customer tenure, policies approaching renewal in the next 60 days with premium at risk, lapse reasons where recorded, retention after a premium increase by increase band, and segments where retention is deteriorating.", claimsPerformance: "Build an insurance claims dashboard showing claims reported and settled by product and cause, claims frequency per hundred policies, average claim severity, loss ratio by product and underwriting cohort, claims development against reserves, open claims by age, and segments whose loss ratio has worsened.", underwritingQuality: "Build an underwriting dashboard comparing loss ratio by rating factor, distribution channel and underwriting period, business written outside standard guidelines with its loss experience, segments where premium is inadequate for observed claims, quote to bind conversion by segment, and the profitability of recent cohorts against earlier ones."};

Find Out Whether Recent Pricing Works
Loss ratio by rating factor, distribution channel and underwriting period, loss ratio against the pricing assumption, development of prior underwriting years, segments where loss ratio worsened and the combined ratio including expenses.
Find Out Whether Recent Pricing Works
Loss ratio by rating factor, distribution channel and underwriting period, loss ratio against the pricing assumption, development of prior underwriting years, segments where loss ratio worsened and the combined ratio including expenses.
Build a custom insurance dashboard in 4 simple steps
Track premium, retention and claims performance across the book in one view, so growth and underwriting quality are read together.
Start with policies in force and premium by product and channel, new business against lapses, renewal retention, claims frequency and severity, loss ratio and expense ratio. Emergent builds around your product lines and distribution.
Link your policy administration system, claims records and commission or broker data. Emergent relates premium earned to claims incurred at product and cohort level, which is what shows whether growth is profitable.
Ask to add a product, alter an arrears band, change how loss ratio is grouped or add a rating factor, and book and underwriting views rebuild consistently.
Publish one link where underwriting sees loss ratios by segment, distribution sees new business and retention, and leadership sees the combined position. Board reporting draws on the same figures.
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Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
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