Actuarial production platform
Agents for studies. Workflows for industrialisation.
URLab brings together specialized agents that perform complex actuarial work and governed workflows that turn approved methods into traceable, repeatable, and controlled processes.
Specialized agents
Complete an actuarial study end to end, even when the analysis must adapt.
From a business objective, the agent builds a plan, mobilizes approved resources, and progresses towards an output ready for review.
- Dynamic planning across data, calculations, and controls
- Python, R, SQL, and actuarial functions in one context
- Visible code, assumptions, and intermediate results
Actuary request
« Analyse the claims trend. »
Agent response
The study is complete. The report is available.
Data extraction
Statistical analysis
Results analysis
Extraction adjustment
Script validation
Report ready for review
Governed workflows
Turn an approved method into a repeatable process.
The workflow orchestrates calculation engines, specialized agents, controls, and approvals within a versioned procedure.
- Explicitly defined steps, dependencies, and versions
- Stops and approvals assigned to the appropriate roles
- Fully traced runs, exceptions, and restarts
Scattered assets
Governed, versioned workflow
Collect
Calculate
Control
Validate
Deliver
Shared foundation
From data to report, everything stays connected in one environment.
Data, calculation engines, and reports remain connected. A study can become a production asset without breaking the chain of traceability.
- Versioned data and compute environments
- Transparent notebooks and reusable functions
- Reports and evidence linked to source calculations
Study report
Claims trend analysis
Best estimate projection
Controls and conclusion
Source
Database v1
Source
Calculation script v6
Source
Controls workbook v6
From study to workflow
An approved method can become a production asset.
URLab preserves continuity between the agent’s exploratory work and the recurring process supervised by the team.
Study
The agent explores the data, performs the analysis, and prepares a result.
Challenge
The actuary reviews the code, assumptions, controls, and conclusions.
Formalize
Approved steps become a versioned workflow with rules and approvals.
Supervise
The workflow runs again while exceptions and decisions return to accountable roles.
Scaling operations
Repeat a validated method without diluting control.
The same workflow can run across multiple studies, portfolios, and cycles. Versions, controls, and approvals remain explicit; exceptions are routed to the accountable actuary.
Approved method
Versioned actuarial workflow
Apply to new data
Same method, new dataset.
Adapt approved parameters
Same structure, adjusted scope and assumptions.
Run every new cycle
Same workflow, new execution period.
Common framework for every run
Version, controls, human approval, and exception escalation remain identical for every run.
Explore workflow governanceSee URLab in context
Start with a study or a process to industrialize.
We will show how agents perform the work, how the workflow organizes repetition, and where your actuaries remain in control.