Get products to market without re-coding the logic behind them

Reuse what already works instead of rebuilding it. That principle is the design basis of the Coherent platform, and in practice it means four things:

1. Keep the pricing, illustration, and admin models your actuaries already built, rather than re-coding them for each system.

2. Put governance around them, with version control, approvals, and an audit trail that traces which factor drove a price down to the cell.

3. Serve the governed models to policy admin, quoting, and illustration platforms so every system runs the same logic.

4. Monitor the wider estate for errors, duplicates, and dependencies as it changes. Actuaries stay in Excel, and IT gets the scalability and control it signs off on.

No. Most carriers run Coherent alongside the modeling system they already have. Some use it to replicate and validate the incumbent's results, some connect the two through governed APIs. In other cases, it may be most efficient to build and launch new products on Coherent while legacy models stay where they are. The payoff is always the same. The Excel models that live around your modeling system, the product and valuation logic it was never built to cover, become governed, tested, production-grade assets, and the modeling system itself never has to change.

Python can be appropriate when the insurer has the skills, controls, and operating model to maintain code-based calculations. Rewriting a trusted workbook, however, introduces translation, testing, ownership, and change-management requirements. Coherent offers another path: retain actuarial authoring in Excel while deploying approved logic as governed calculation services. The right choice depends on model complexity, performance needs, development capacity, and target architecture; Excel, Spark, and Python can also coexist.

Catch errors twice, once across the estate and once before each release. Coherent Insights can help identify workbook dependencies, complex or suspicious formula patterns, documentation gaps, and selected control risks for expert review. Coherent Spark Testing Center can compare service results with approved Excel or external baselines across defined test cases and versions. Running approved logic as a governed service also removes the manual re-coding step where translation errors can enter.

Coherent can support a VM-22 program by operationalizing approved Excel-based calculations, running controlled scenario and regression tests, and comparing governed results with existing model outputs. Spark provides versioned execution and testing evidence; methodology, assumptions, applicability, and independent validation remain the carrier’s responsibility. Coherent is not a packaged VM-22 methodology or compliance engine.

Coherent can support recurring IFRS 17 workflows that depend on Excel-based actuarial and finance logic. Spark provides versioned execution, testing, controlled release, and calculation history, while Insights can support workbook-estate analysis and documentation. That is how one life insurer deployed five IFRS 17 ledger-entry workflows with version control, approval processes, and audit evidence, with plans to expand further. Coherent supports an audit-ready process; methodology, controls, validation, and compliance conclusions remain the insurer’s responsibility.