A North American life insurance insurer compressed repricing timelines by more than 90% and cut cost per pricing change by more than 90% without replacing a single policy administration system (PAS).
- More than 90%
reduction in repricing cycle time
- More than 90%
reduction in cost per pricing change
- Millions within months
new bundle revenue generated since go-live
- Approximately 5x go-live revenue
projected incremental bundle premium within 12 months
The product management bottleneck #
A large North American life insurance insurer was operating a complex technology landscape built over several decades: multiple legacy PAS running in parallel, each with its own data model, rate tables, and integration architecture.
Download the full case study #
See the complete story: the implementation details, the quantified results, and what this architecture means for any insurer still dependent on legacy systems for every product change.
The business consequences were severe. Every product or pricing change had to be replicated across systems, requiring specialized legacy expertise that was becoming scarce and expensive. Product launches were delayed. Pricing experiments were economically unviable.
Full core system replacement — the most commonly-prescribed solution — wasn't viable. The cost, organizational disruption, implementation risk, and timeline were prohibitive at the insurer’s scale. They needed a different solution.
What was holding the insurer back #
- Multiple legacy PAS platforms, each requiring separate updates for any product change
- No ability to manage product bundling at scale; technically possible, commercially undeliverable
- IT and third-party vendor involvement required for every pricing or configuration change
- Repricing cycles measured in months, creating structural lag behind market conditions
- High cost per pricing change making product experimentation economically irrational
A modern product management layer #
To achieve independence over product management without replacing its core systems, the insurer implemented Equisoft/amplify, a platform purpose-built as a modern intelligence layer that sits above existing policy administration infrastructure.
Equisoft/amplify was selected based on three criteria that set it apart from all alternatives:
Architecture fit #
Equisoft/amplify was designed from the ground up as a middle layer, not a repurposed PAS or retrofitted rating engine. Its architecture was purpose-built for the integration topology the insurer required: connecting multiple legacy systems through a single source of truth for product and rate data.
Partnership model #
Equisoft acted as a co-development partner, meaning the insurer’s enterprise requirements would directly shape the product roadmap rather than wait for a future release cycle. The Tier 1 insurer’s standards became the platform's production standard from the outset.
Self-sufficiency by design #
The platform's stated purpose was to transfer product management ownership from IT and vendor teams to the insurer's own business users permanently and without ongoing external dependency.
Three capabilities, one unified layer #
Equisoft/amplify is structured around three interconnected capabilities that together eliminate the fragmentation inherent in multi-system policy administration environments.
- Product hub — Establishes a unified product and rate definition layer. All product configurations, rate tables, and pricing rules are defined once and referenced by all connected systems, eliminating the multi-system reconciliation that made every product change a months-long exercise.
- Offer manager — Enables dynamic product bundling, channel-specific discounting and campaign management through a no-code configuration interface. Business teams design, test, and deploy bundle offers without writing code or engaging IT.
- Universal middleware — Acts as the connective tissue synchronizing all downstream systems in real time, including legacy PAS, policy issuance, digital application, and illustration systems, all reading from a single, continuously updated source of truth.
Production-grade in under eight months #
The project ran from initiation to go-live in under eight months, encompassing simultaneous platform development and enterprise implementation across multiple legacy systems. This level of complexity required a joint team model rather than a conventional vendor-client engagement.
The insurer became Equisoft/amplify's first enterprise client not as a pilot, but as a full production deployment. Tier 1 non-negotiables around security, auditability and operational reliability were required from the first deployment.
Proof in live production figures #
The results documented since go-live are not projected outcomes or modelled scenarios; they are live production figures from a platform processing thousands of bundle transactions daily.
Repricing speed #
What previously took months now takes weeks. The insurer can respond to market conditions in near real time, adjusting pricing to reflect competitive dynamics or actuarial signals far faster than was structurally possible before.
Cost per change #
Pricing experiments that were previously economically irrational — because the cost of testing exceeded the realistic revenue upside — now have no meaningful cost of failure. The insurer can pursue product strategies that simply weren't affordable before.
Bundle revenue #
New bundle revenue generated since go-live represents real commercial output from a product capability that did not exist before the implementation. Billing systems automatically recognize bundle discounts in real time, with no manual intervention required.
Business team autonomy #
Business teams own pricing, bundling and campaign management. The dependency on legacy expertise and vendor involvement for every product change has been structurally eliminated. This is a permanent change in organizational capability.
Built for what's coming next #
The architecture built through this implementation creates capabilities that most insurers are years away from being able to deploy and positions the insurer to be first to access them.
Equisoft/amplify was built from the ground up with large language model (LLM) integration as a design principle. The real-time synchronization layer across all connected systems is what makes agentic AI workflows possible at enterprise scale — and that layer is already in production.
Agentic AI capabilities in development include intelligent automation across the product lifecycle: pricing recommendations informed by real-time market and actuarial inputs, campaign optimization based on bundle performance signals, and underwriting inputs drawn from the unified product data model.