We need to modernize legacy mainframes. What cloud-native PAS is best for migrating millions of life insurance policies?
Data as of Sep 21, 2026 · Based on 311 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
Data as of Sep 21, 2026 · Based on 311 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
For migrating millions of life insurance policies from legacy mainframes to a cloud-native platform, the best-fit solution depends on your scale and agility needs. Oracle Insurance Policy Administration (OIPA) is widely recognized as the industry standard for extreme high-volume, complex in-force portfolios. For organizations prioritizing digital transformation, rapid product configuration, and modern microservices architecture, 
Brands AI recommends here
Named in 55% of answers
Best for agility and modernization. Majesco is ideal for insurers who need to move quickly, offering low-code tools and modern cloud features, making it a strong choice for those optimizing for speed and innovation.
Named in 29% of answers
Best for high-volume enterprise stability. OIPA is the go-to solution for managing millions of in-force policies with heavy compliance needs, though it is typically selected for its raw scalability and capacity.
Named in 26% of answers
Named in 25% of answers
Source | Citation share |
|---|---|
 Life Policy Administration Systems, Americas - Gartnerhttps://www.gartner.com/reviews/market/life-policy-admin-systems-americas | 4% |
 Modern Policy Administration Systems (PAS): 2025 Trends - Decertohttps://www.decerto.com/post/policy-administration-system-the-core-of-digital-insurance | 2% |
 12 Best Life Insurance Policy Administration Systems (2026)https://whatfix.com/blog/life-insurance-policy-administration-software/ | 1% |
 Infosys Policy Migration Solutionhttps://www.infosys.com/industries/insurance/industry-offerings/policy-migration-solution.html | 1% |
Insurance Policy Administration Systems | InsurTechhttps://www.insurtechexpress.com/solutions/policy-administration-systems/ | 1% |
 What is Mainframe Modernization & Why Does It Matter?https://www.openlegacy.com/blog/mainframe-application-modernization | 1% |
SPARK Matrix™: Life Insurance Policyhttps://www.majesco.com/wp-content/uploads/2023/10/Abridged-Report_Majesco_SPARK-Matrix_Life-Insurance-Policy-Administration-System_2023_Quadrant-Knowledge-Solutions.pdf | 1% |
 Sapiens CoreSuite for Life & Annuitieshttps://sapiens.com/us/life-and-annuities/coresuite-for-life-and-annuities/ | 1% |
Mainframe Modernization Helps North American Life ... - Infosyshttps://www.infosys.com/services/application-modernization/case-studies/reduce-total-cost.html | 1% |
 Magic Quadrant for Life Insurance Policy Administration ...https://www.mphasis.com/content/dam/pdfs/magic-quadrant-for-paas-na.pdf | 1% |
For **millions of life-insurance policies coming off mainframes**, I’d put **Sapiens CoreSuite for Life & Annuities** and **EIS OneSuite/PolicyCore** at the center of the shortlist, with **Infosys McCamish VPAS** and **Majesco L&AH** as important comparators. If by “best” you mean *best fit for a very large, complex…
For millions of life-insurance policies coming off mainframes, I’d put Sapiens CoreSuite for Life & Annuities and EIS OneSuite/PolicyCore at the center of the shortlist, with Infosys McCamish VPAS and Majesco L&AH as important comparators.
If by “best” you mean best fit for a very large, complex legacy migration, rather than a generic cloud PAS, the decision hinges heavily on migration/coexistence capability.
| Platform | Cloud architecture | Life/annuity depth | Legacy migration fit | Particularly relevant strength |
|---|---|---|---|---|
| Sapiens CoreSuite L&A | Cloud/SaaS, open APIs | High | High | End-to-end life/annuity administration and phased modernization |
| EIS PolicyCore / OneSuite | Cloud-native, API-first, event-driven | High | High | Highly modular architecture and real-time integration |
| Infosys McCamish VPAS | Modern/cloud deployment | High | Very high | Explicit large-volume legacy migration tooling |
| Majesco L&AH | Cloud-based | High | High | Product configuration and individual/group/voluntary benefits |
1. Sapiens CoreSuite L&A — strongest candidate to investigate first for a broad life/annuity transformation. Sapiens describes CoreSuite as a cloud-native, end-to-end platform covering the life/annuity lifecycle, with API integration, configurable products and support for phased modernization.
2. EIS OneSuite / PolicyCore — particularly compelling if your target architecture is genuinely API-first, event-driven and composable, rather than simply moving a traditional PAS onto cloud infrastructure. EIS explicitly positions PolicyCore as SaaS and OneSuite as cloud-native/API-first, with modular policy, billing, claims and customer capabilities.
3. Infosys McCamish VPAS — don't overlook this one for your specific situation. The 2024 PAS-L&A analysis specifically identifies McCAP, its migration tooling, as supporting large-volume migration from legacy systems into VPAS. That's unusually relevant when the problem is millions of existing policies, not merely launching new business.
4. Majesco L&AH — worth including if you have a substantial mix of individual, group and voluntary-benefit products. Its platform has been identified among the leading L&A PAS products in industry analysis.
For a mainframe book of millions of policies, I'd weight the RFP roughly around:
The key distinction is that “cloud-native PAS” and “safe migration engine for millions of in-force policies” are different capabilities. Industry analysis explicitly points to migration—not merely the elegance of the target architecture—as the critical risk in core replacement programs.
If you give me your approximate policy count, product mix (term/UL/IUL/whole life/annuity/group), geography, and whether you need to migrate all policies or only new business first, I can build a vendor-by-vendor RFP scorecard focused specifically on mainframe-to-cloud migration.
2. EIS OneSuite / PolicyCore — particularly compelling if your target architecture is genuinely API-first, event-driven and composable, rather than simply moving a traditional PAS onto cloud infrastructure. EIS explicitly positions PolicyCore as SaaS and OneSuite as cloud-native/API-first, with modular policy, billing, claims and customer capabilities.
3. Infosys McCamish VPAS — don't overlook this one for your specific situation. The 2024 PAS-L&A analysis specifically identifies McCAP, its migration tooling, as supporting large-volume migration from legacy systems into VPAS. That's unusually relevant when the problem is millions of existing policies, not merely launching new business.
4. Majesco L&AH — worth including if you have a substantial mix of individual, group and voluntary-benefit products. Its platform has been identified among the leading L&A PAS products in industry analysis.
For a mainframe book of millions of policies, I'd weight the RFP roughly around:
Migrating millions of life insurance policies from a legacy mainframe requires a cloud-native Policy Administration System (PAS) capable of handling massive transactional volume, complex product riders, and strict regulatory compliance. The "best" platform depends on whether you choose a **full core replacement…
Migrating millions of life insurance policies from a legacy mainframe requires a cloud-native Policy Administration System (PAS) capable of handling massive transactional volume, complex product riders, and strict regulatory compliance.
The "best" platform depends on whether you choose a full core replacement (clean-slate rewrite) or a cloud-native platform/replatform approach . Industry leaders widely recognized for handling large blocks of life, annuity, and complex policy data include:
To help narrow down the ideal platform for your organization, please share:
Migrating millions of life insurance policies from legacy mainframes to a modern cloud-native Policy Administration System (PAS) requires a platform with proven high-volume scalability, robust API-first architecture , and deep out-of-the-box life and annuity (L&A) product…
Migrating millions of life insurance policies from legacy mainframes to a modern cloud-native Policy Administration System (PAS) requires a platform with proven high-volume scalability, robust API-first architecture , and deep out-of-the-box life and annuity (L&A) product capabilities.
There is no single "best" vendor for every insurer, as success depends heavily on your product mix (term, whole life, universal life, annuities) and risk appetite. However, the top market leaders recognized for enterprise-scale, cloud-native life insurance transformations include:
I found that a phased rollout rather than a big-bang replacement is the only sane way to handle millions of legacy policies without risking severe business disruption.
The data extraction and mapping phase from rigid legacy formats will take twice as long as you think; make sure your chosen PAS vendor provides robust tooling and flexible integration schemas.
To help narrow down which cloud-native PAS fits your specific migration, could you share:
If by **PAS** you mean a modern policy administration system for **life & annuities**, I would shortlist **EIS PolicyCore, Majesco, and Socotra**, but the answer depends heavily on how heterogeneous those millions of legacy policies are. ### My shortlist Platform | Why it stands out for a mainframe modernization | Key…
If by PAS you mean a modern policy administration system for life & annuities, I would shortlist EIS PolicyCore, Majesco, and Socotra, but the answer depends heavily on how heterogeneous those millions of legacy policies are.
| Platform | Why it stands out for a mainframe modernization | Key consideration |
|---|---|---|
| EIS PolicyCore | Cloud-native, event-driven, API-first architecture; explicitly supports life & annuities and phased modernization. EIS describes microservices/customer-centric architecture and cites a large-scale Guardian Life implementation. EIS EIS | Validate migration tooling and ability to model your legacy product portfolio without excessive customization. |
| Majesco Life | Specifically positioned for life insurance PAS modernization; Majesco says its platform is cloud-native/API-first and was recognized by QKS Group in its 2025 Life PAS evaluation. Majesco | Worth serious consideration if breadth of life/annuity functionality and established insurance capabilities outweigh a pure cloud-native architecture preference. |
| Socotra Policy | Strong cloud-native/API-first architecture, continuous SaaS upgrades, flexible product configuration, and explicit support for replacing or augmenting legacy PAS. Gartner's 2026 material says Socotra has supported life and P&C migrations. Gartner Socotra | I'd scrutinize its fit for your deepest life/annuity edge cases and high-volume legacy conversion rather than assuming a generic PAS model will fit. |
The critical question isn't simply "Which PAS is most cloud-native?" It's:
Can it coexist with the mainframe long enough to migrate the book incrementally, while preserving policy history, financial values, actuarial calculations, regulatory records, and servicing continuity? For a portfolio this large, I'd require each vendor to demonstrate:
EIS is particularly interesting for this scenario because it explicitly describes its platform as supporting phased modernization and coexistence with existing services, while its life/annuity offering emphasizes microservices and customer-centric architecture.
Don't let a vendor win the evaluation merely because it has a "cloud-native PAS." Millions of policies make this primarily a data-conversion and business-equivalence problem. The hardest part is often faithfully reproducing decades of accumulated policy states and rules, not provisioning the new cloud infrastructure.
I'd therefore run a proof-of-migration, not a conventional feature POC: take perhaps 100k–500k representative policies spanning your hardest products and historical states, convert them, execute servicing transactions, and reconcile the financial and policy results against the mainframe.
If you tell me individual life vs. group life, annuities vs. life, approximate policy count, and whether you want AWS/Azure/GCP, I can build a vendor-by-vendor evaluation matrix specifically for a mainframe-to-cloud migration at your scale.
If by **PAS** you mean a **life-insurance Policy Administration System**, my first choice for a migration involving **millions of in-force policies** would be **Sapiens CoreSuite for Life & Annuities**. ### My shortlist Platform | Fit for millions of life policies | Why
If by PAS you mean a life-insurance Policy Administration System, my first choice for a migration involving millions of in-force policies would be Sapiens CoreSuite for Life & Annuities.
| Platform | Fit for millions of life policies | Why |
|---|---|---|
| Sapiens CoreSuite L&A | Best overall | Mature life/annuity functionality, cloud-native, API-based, configurable, and designed for incremental modernization |
| FINEOS AdminSuite | Excellent | Strong cloud-native architecture and Life/A&H capabilities, particularly attractive for employee benefits/group business |
| Majesco L&A | Strong contender | Broad life/annuity capabilities and modernization focus |
| Equisoft/manage | Strong for certain blocks | Particularly interesting where administration complexity and migration services are major considerations |
| EIS | Worth evaluating | Very cloud-native/API-oriented, but I'd scrutinize life-policy migration references at your scale |
Sapiens explicitly positions CoreSuite L&A as a cloud-native, end-to-end platform for the life and annuity lifecycle, with open/API-based integration and configurable product capabilities. Sapiens Sapiens FINEOS likewise has a genuinely cloud-native core built around APIs, containers/serverless technology and auto-scaling, and its AdminSuite covers policy, billing, claims, payments, underwriting and related functions.
For millions of legacy mainframe policies, I would weight the RFP roughly:
The critical question isn't "Can it run in the cloud?" Almost every serious candidate can. It's "Can we move 5–20 million messy, long-lived policies from COBOL/mainframe data structures into it without creating a multi-year reconciliation nightmare?"
Sapiens itself emphasizes that in-force block migration experience should be a key selection criterion, which is exactly the issue I'd put at the center of your evaluation.
Don't accept a PowerPoint demo. Give each vendor a representative 100,000-policy synthetic extract containing:
Then require them to demonstrate automated conversion → validation → reconciliation → parallel processing → cutover.
For a mainframe modernization of this magnitude, I'd also strongly favor a phased migration by product/block, rather than a "big bang." Sapiens specifically describes its architecture as supporting incremental replacement of legacy infrastructure while maintaining business operations.
Bottom line: I'd put Sapiens CoreSuite L&A at the top of the RFP, with FINEOS and Majesco as serious alternatives. But I would make the final decision based on a proof-of-migration of your actual legacy data, not the vendor's cloud architecture slide.
If you tell me roughly how many policies (e.g. 5M vs. 50M), product mix, geography, and whether you need billing/claims in the same transformation, I can build a vendor scorecard comparing Sapiens vs. FINEOS vs. Majesco vs. Equisoft vs. EIS specifically for a mainframe-to-cloud migration.
Migrating millions of legacy life insurance policies from rigid mainframes (such as old COBOL/DB2 environments) to a cloud-native Policy Administration System (PAS) requires a platform with proven high-volume batch processing, deep life/annuity (L&A) domain models, and bulletproof in-force data conversion…
Migrating millions of legacy life insurance policies from rigid mainframes (such as old COBOL/DB2 environments) to a cloud-native Policy Administration System (PAS) requires a platform with proven high-volume batch processing, deep life/annuity (L&A) domain models, and bulletproof in-force data conversion tools.
There is no single "best" system for everyone, but the top enterprise-grade, cloud-native L&A platforms stand out based on scale, architecture, and migration track record:
To help narrow down the ideal platform, tell me:
Migrating millions of legacy life insurance policies from an old-school mainframe (often packed with decades of hardcoded COBOL, rigid IMS/DB2 data structures, and duct-taped integrations) to a cloud-native Policy Administration System (PAS) is a heavy-lift enterprise…
Migrating millions of legacy life insurance policies from an old-school mainframe (often packed with decades of hardcoded COBOL, rigid IMS/DB2 data structures, and duct-taped integrations) to a cloud-native Policy Administration System (PAS) is a heavy-lift enterprise transformation.
There is no single "best" platform universally, because success depends on whether you are dealing with active (in-force) blocks, complex closed blocks , or high-volume annuity/whole life portfolios . However, the top-tier, cloud-native and AI-native PAS platforms recognized for handling massive-scale life, accident, and health (L&AH) migrations include the following market leaders:
When evaluating these platforms for a multi-million policy migration, look past the sales brochure and audit these operational pillars:
To help narrow down the ideal platform, could you share:
For a **life insurer migrating millions of in-force policies off legacy mainframes**, there is no single “best” cloud-native PAS. The right choice depends heavily on your product complexity (whole life, UL, VUL, annuity, group, etc.), migration strategy, geography, and whether you want a replacement system of record…
For a life insurer migrating millions of in-force policies off legacy mainframes, there is no single “best” cloud-native PAS. The right choice depends heavily on your product complexity (whole life, UL, VUL, annuity, group, etc.), migration strategy, geography, and whether you want a replacement system of record or a modern digital layer around the mainframe. Life PAS migrations are especially difficult because decades of product rules, riders, reserves, transactions, and historical data must be preserved.
For a large carrier with millions of policies, I would typically shortlist these platforms:
| Platform | Best fit | Why it stands out |
|---|---|---|
| DXC Technology Assure Ingenium | Large life/annuity carriers replacing legacy PAS | Strong life-specific heritage, designed for complex products, configurable product rules, and large-scale migrations. DXC cites examples including migration of 732,000+ policies to Assure Ingenium. DXC Technology |
| Zinnia Zahara | Carriers wanting cloud-native life/annuity architecture | Modern API-oriented architecture, configurable product components, calculation engine, and migration/coexistence capabilities. Zinnia |
| Sapiens International Corporation CoreSuite for Life & Annuities | Global insurers needing mature life capabilities | Broad life/annuity functionality and established PAS market presence. Celent Sapiens |
| Majesco L&AH Intelligent Core Suite | Carriers wanting cloud-native configurable insurance cores | Strong configuration, workflow, API, and digital experience capabilities. Majesco Majesco |
| Infosys McCamish VPAS | Large-volume life and annuity migrations | Known for life/annuity administration and migration tooling. Majesco |
| Verisk FAST | API-first modernization and faster product configuration | Cloud-native platform with configurable workflows and product design capabilities. Majesco |
1. You have 5M–50M+ policies, decades of legacy data, and complex life products
2. You want a true cloud-native target architecture
3. You want minimum disruption
For a million-policy-plus migration, I would score vendors roughly:
25% — In-force policy conversion capability
Can they migrate decades of policy history?
Can they prove reconciliation to reserves, cash values, loans, riders, and benefits?
20% — Life product depth
Whole life, UL, VUL, annuities, riders, dividends, tax rules.
20% — Migration factory
Automated extraction, transformation, validation, parallel runs.
15% — Cloud operating model
SaaS vs managed cloud, upgrades, observability, resilience.
10% — Configuration model
Can product teams change rules without code?
10% — Ecosystem
SI partners, actuarial integrations, digital channels, data platforms.
A key warning: many “cloud-native” platforms are excellent for new business, but a carrier’s hardest problem is usually moving and proving the correctness of the existing book. The winner is often the platform with the strongest conversion methodology, not the one with the newest architecture.
If you share:
I can narrow this to a 2–3 vendor recommendation.
For **millions of in-force life insurance policies coming off mainframes**, the “best” cloud-native PAS is usually not the one with the prettiest microservices architecture—it is the one that can **preserve decades of actuarial, regulatory, and product logic while executing a low-risk migration**. Large life carriers…
For millions of in-force life insurance policies coming off mainframes, the “best” cloud-native PAS is usually not the one with the prettiest microservices architecture—it is the one that can preserve decades of actuarial, regulatory, and product logic while executing a low-risk migration. Large life carriers typically need a phased modernization, not a big-bang replacement.
A practical shortlist:
| Platform | Best fit | Why it stands out | Watch-outs |
|---|---|---|---|
| Sapiens International Corporation DigitalSuite / CoreSuite | Large life carriers wanting modern architecture and configurable products | Strong life/annuity domain focus, modern deployment options, policy lifecycle capabilities | Validate migration tooling and North American implementation references |
| FIS / FIS Insurance Suite | Enterprises needing broad insurance capabilities | Mature insurance ecosystem and enterprise integrations | Assess cloud-native depth versus hosted legacy components |
| Oracle Corporation Insurance Policy Administration | Oracle-heavy enterprises | Good fit where Oracle databases, middleware, and enterprise standards dominate | May require significant implementation effort |
| Tata Consultancy Services BaNCS Insurance | Global insurers, bancassurance, multi-country operations | Strong financial-services integration footprint | Fit depends heavily on geography and product complexity |
| EIS Suite | Carriers prioritizing API-first, customer-centric architecture | Modern cloud-native approach and flexible data model | Ensure it handles your legacy life product complexity |
| Majesco | Carriers seeking SaaS modernization paths | Strong insurance modernization experience | Confirm life-specific depth for your product portfolio |
Finantrix CIOPagesFor a million+ policy migration, I would generally rank selection criteria above vendor branding:
If you are specifically migrating from IBM z/OS + COBOL/CICS (e.g., CyberLife, Ingenium, CLOAS, LIFE-COMM, etc.), the recommendation changes because the conversion strategy and target PAS compatibility become much more important. Mainframe Modernization Mainframe Modernization Mainframe Modernization I can help build a vendor shortlist and RFP scoring matrix if you share:
Migrating millions of life insurance policies from a legacy mainframe to a cloud-native Policy Administration System (PAS) is a heavy-lift transformation. Life insurance data structures are notoriously complex, involving multi-decade persistency, intricate product riders, and deep actuarial calculation…
Migrating millions of life insurance policies from a legacy mainframe to a cloud-native Policy Administration System (PAS) is a heavy-lift transformation. Life insurance data structures are notoriously complex, involving multi-decade persistency, intricate product riders, and deep actuarial calculation logic.
There is no single "best" platform universally, as success depends entirely on your specific book of business (individual vs. group/worksite), risk tolerance, and whether you are doing a clean-sheet rewrite or a structured component migration. However, the top-tier, cloud-native PAS options purpose-built or optimized for Life, Annuity, and Health (L&AH) at scale include the following market leaders:
Key Evaluation Criteria for Millions of Policies
When vetting these platforms for high-volume life books, prioritize these non-negotiable vectors over basic feature checklists:
To help narrow down which platform fits your specific transformation roadmap, could you share:
