For Actuaries: How Tesora supplements your workflow

Calculate your ROI

Based on hours saved per submission at $/hr actuary cost

Tesora

From raw submission to risk determination in hours

AI-powered actuarial workbench for commercial P&C teams. Eliminate manual data entry, run Monte Carlo natively, and keep every number traceable to its source.

Three capabilities. One workbench.

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REPORT BUILDER

Trusted by leading insurance teams

Real Property Captive

Data ingestion, enrichment, structuring, reporting, and analysis for a real estate captive insurance provider.

Angad Guglani

Captive Insurance Partners

Automated administrative and reporting processes that previously required extensive manual coordination.

Let your actuaries do the work they love with intelligent tools

For specialty insurance, more nuanced models → better understanding of risk → lower loss ratio. Tesora lets actuaries model as many scenarios as they can dream of at the speed of thought.

Built for how actuaries actually work

The workbook is powered by an excel engine with actuary-specific tools for monte carlo simulation, curve fitting, trend application, and more.

Why actuarial teams choose Tesora

Let us show you how Tesora makes your actuaries more profitable.

Frequently asked questions

Common questions from actuarial teams.

See how Tesora makes your team more profitable

30-minute demo with your actual submission data. We'll show you the ROI.

Tesora

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Ingest

Every document. Every data point. Full traceability.

The Workbench ingests entire submission folders, loss runs, prior actuarial analyses, narratives, applications, and SOVs, across PDF, Excel, CSV, and Word formats. Every document is automatically classified, and every data point is extracted with full source traceability back to the exact page, cell, or section it came from.

Multi-format batch intake

Process an entire submission folder in one operation. PDFs, Excel, CSV, Word, all parsed, classified, and structured automatically with OCR for scanned documents.

Claim-level extraction

Extracts every loss record, premium schedule, development factor, trend assumption, and coverage structure from source documents into a canonical schema.

PDF-to-Excel reconciliation

Cross-references PDF and Excel loss runs record-by-record. Flags discrepancies in paid amounts, reserves, and claim counts before analysis begins.

Clickable source traceability

Every extracted data point links back to the exact page, row, and cell it came from. Click any number to see its source highlighted in the original document.

Analyze

Chain ladder to Monte Carlo. One platform.

The full actuarial pipeline (loss development, trending, on-leveling, and rebasing) runs automatically on ingested data. The engine constructs development triangles, computes age-to-age factors, and projects ultimate losses across Bornhuetter-Ferguson, Cape Cod, and chain ladder methods. Native Monte Carlo simulation, no add-ins required.

Development triangle construction

Builds incurred, paid, and claim count triangles from claim-level data. Computes link ratios with simple, volume-weighted, medial, and multi-year averages side by side.

Multi-method ultimate projection

Projects ultimates via chain ladder, Bornhuetter-Ferguson, and Cape Cod methods. Displays all methods side by side with selectable weighting for the actuary's final pick.

Distribution fitting & simulation

Fits frequency and severity distributions, ranks by AIC/BIC, and runs full Monte Carlo simulations with per-occurrence capping and aggregate stop-loss application.

Judgment overrides with audit trail

Every factor, trend, and selection can be overridden with required justification. Changes are logged with timestamp, prior value, new value, and rationale, fully auditable.

Communicate

From analysis to narrative. Client-ready.

Transform actuarial analysis into compelling client deliverables. Auto-generate executive summaries, build interactive visualizations, and export to Excel with live formulas or polished PowerPoint decks. Every chart, table, and narrative is designed to tell the story your clients need to hear.

Auto-generated executive summaries

AI-powered narrative generation that explains methodology, highlights key findings, and contextualizes results. Editable drafts that sound like you wrote them.

Interactive visualization builder

EP curves, development triangles, sensitivity charts, and structure diagrams, all interactive and embeddable. Click any chart element to drill into underlying data.

Excel export with live formulas

Generate workbooks where every cell links back to source data. Compatible with your existing Excel templates and custom macros. Clients can explore the math.

Client-ready report packages

One-click generation of bundled deliverables: methodology documentation, exhibit packages, STR slide decks, and board-ready summaries, all branded and formatted.

Make actuaries more profitable

When actuaries are focused on strategic judgment calls, they can price more submissions and spend more time on each one to uncover hidden risks.

Full interoperability with existing tools

Full Excel export means methods align with your existing tools. Import or Export all analyses in the workbench to and from Excel with one button.

Enterprise-grade security

SOC 2 Type II certified. 256-bit encryption, strict access controls, continuous monitoring. Deploy in our cloud or yours.

How does this compare to our current Excel workflow?

The Workbench produces the same outputs (development triangles, fitted distributions, simulation results, and pricing exhibits) but eliminates the manual data entry, copy-paste errors, and version control chaos. Your actuaries can focus on judgment calls, not data wrangling.

Can we import our existing actuarial assumptions?

Yes. The Workbench imports LDFs, CDFs, tail factors, and trend assumptions from prior actuarial work. These are displayed side-by-side with data-derived estimates, giving you a validated starting point rather than a blank spreadsheet.

What distributions does the simulation engine support?

Frequency: Poisson, negative binomial, geometric, binomial. Severity: lognormal, Pareto, Weibull, gamma, Burr, inverse Gaussian, and spliced distributions for body/tail separation. All ranked by AIC/BIC with goodness-of-fit diagnostics.

How do we handle specialty lines with unusual data?

Custom trend indices for specialty lines (jewelry, aviation, etc.), credibility weighting to blend thin program data with benchmarks, and small-sample warnings when statistical power is limited. The platform adapts to your book, not the other way around.

Can our actuaries override the automated selections?

Every factor, trend, and selection can be overridden with documented justification. The platform enforces the discipline (you cannot change a number without explaining why), but the actuary always has final say.

What about integration with our existing systems?

SharePoint and Teams integration for document ingestion and notifications. Excel export with live formulas for actuaries who want to inspect the math. API access for integration with policy administration and claims systems.

Auto-calculate LDFs from your triangles.

Blend expected loss ratios with development.

Credibility-weighted expected loss method.

Model frequency and severity separately.

Iterate between chain ladder and B-F.

Estimate unreported claims.

Track individual claim estimates.

Calculate aggregate reserves.

Build triangles from raw data.

Compare development bases.

Fit lognormal severity curves.

Model heavy tails.

Flexible severity fitting.

Fit gamma distributions.

Handle overdispersed counts.

Model claim frequency.

Layer severity models.

Combine body and tail.

Four-parameter flexibility.

Alternative severity fit.

Maximize likelihood.

Compare model fits.

Test goodness of fit.

Kolmogorov-Smirnov testing.

Visual fit assessment.

Probability plots.

Quantify uncertainty.

Weight experience vs prior.

Build rating models.

Analyze trends.

Simulate loss scenarios.

Reproducible results.

Model dependencies.

Complex dependencies.

Verify stability.

Efficient simulation.

Stratified sampling.

Paired variates.

Focus on tails.

What-if analysis.

Expected shortfall.

Value at risk.

Probable maximum loss.

Average annual loss.

Occurrence curves.

Aggregate curves.

Event frequency.

Beyond-triangle development.

Relative variability.

Estimation precision.

Model XOL treaties.

Proportional cession.

Aggregate protection.

Line-based cession.

Individual placements.

Portfolio coverage.

Set retention.

Coverage ceiling.

Coverage restoration.

Commission calculation.

Layer pricing.

Build-up pricing.

Track performance.

Full picture.

Cost allocation.

Target return.

Increased limits.

Premium adjustment.

Loss-based pricing.

Risk adjustments.

Development factors.

Inflation adjustment.

Rate adjustment.

Value inflation.

Cost inflation.

Count changes.

Pure premium.

Final projection.

Paid + reserves.

Cash basis.

Large loss handling.

Remove inflation.

Allocated expense.

Unallocated expense.

Property recovery.

Third-party recovery.

Above threshold.

Before deductibles.

After reinsurance.

Before reinsurance.

Calculate credibility factor per ASOP 25.

Test impact of parameter changes.

Ingest & standardize

Upload PDFs, Excel loss runs, prior analyses. Auto-extract claim data, align columns, years, and coverage labels to a standard structure.

Adjust & validate

Apply development indices, trend factors, and on-leveling. Validate against prior actuary selections. Flag data quality issues for review.

Model design

Decide LOB splits vs combined nodes. Set max loss per coverage. Choose frequency (Poisson, Neg Binomial) and severity (Pareto, Lognormal, Weibull) distributions.

Simulate & iterate

Run Monte Carlo simulations. Check tail behavior and P1/mean/P99. Iterate on parameters until target ULR is achieved.

Structure & price

Configure gross/ceded/net layers. Calculate rate online per layer. Validate pricing against benchmarks. Refine attachment points.

Export & review

Generate Excel with live formulas, PDF exhibits. Full audit trail. Stakeholder feedback loop for final determination.