ZTABS modernizes legacy applications for New York enterprises in financial services, healthcare, insurance and real estate. New York's largest banks process trillions daily through mainframe COBOL applications. NYC Health + Hospitals operates clinical and administrative systems on aging technology. Insurance carriers run actuarial and claims systems on legacy platforms. ZTABS is remote-first by design from our Houston, Texas office.
New York's legacy modernization market spans financial services firms with large application portfolios including mainframe systems, healthcare organisations operating clinical and administrative applications on aging platforms, and insurance carriers needing modern architecture for usage-based products and real-time underwriting.
Legacy app modernization in New York at a glance
| Need | What we build | Key requirement |
|---|
| Banking | Mainframe to cloud-native | SOX, NYDFS Part 500 |
| Insurance | Policy admin modernization | Actuarial logic preservation |
| Healthcare | EHR integration | HIPAA throughout |
| Real estate | PropTech integration | Tenant data, IoT |
| Enterprise | Monolith decomposition | Agreed availability target |
Financial services mainframe modernization
New York banks running COBOL mainframes need modernization for API integration, real-time payments and AI capabilities.
COBOL business logic extraction. Systematic extraction of business rules from COBOL code with agreed discovery coverage. Rules often exist nowhere else after original analysts retired. Automated code analysis combined with manual review produces an inventory of discovered rules implemented in modern code with representative characterisation and regression tests. Each rule validated with actual business owners. Undiscovered rules in decades of COBOL are a documented residual risk managed through parallel operation, exception register and owner acceptance.
Availability-targeted strangler fig. API facades in front of legacy systems with percentage-based traffic rollout, automated rollback triggers and real-time reconciliation between legacy and modern systems. Agreed SLA and availability targets with rehearsed maintenance windows, validated controls and documented residual risk with owner acceptance. Feature flags and parallel processing target minimal disruption but cannot guarantee zero outage or automatic undo after new writes, schema or API changes.
Data migration with reconciliation and control evidence. Agreed record, field and business-total reconciliation with automated verification of record counts, sum totals for financial columns and hash-based data integrity. Reconciliation reports reviewed by actual finance and compliance owners for applicable examination requirements. Counts, sums and hashes are practical validation controls, not automatic proof that every business semantic or audit requirement is met. Residual data quality and reconciliation exceptions documented in exception register with owner acceptance.
Cloud-native target. Containerised microservices on Kubernetes with CI/CD, infrastructure as code, observability and auto-scaling. Multi-region availability and disaster recovery with RPO and RTO meeting regulatory expectations.
Modernizing financial systems in New York?
Tell us about your legacy system landscape, COBOL codebase size and regulatory compliance requirements. We start with assessment covering business rule extraction, data analysis and modernization strategy.
Insurance platform modernization
New York insurance carriers running mainframe policy administration systems need modern architecture.
Policy administration. Mainframe policy admin systems encoding decades of underwriting, rating and policy management logic. Strangler fig migration extracting rating engines, policy lifecycle and billing as independent services. Each function validated before the next begins.
Rating engine extraction. Legacy rating engines with complex interdependencies extracted and rebuilt as configurable services. Product managers and actuaries modifying rating factors without developer involvement. Validation against historical quotes.
Actuarial analytics. Legacy actuarial data locked in mainframe databases made accessible to modern analytics tools through data liberation. CDC streaming mainframe data changes to cloud platforms in real-time.
Healthcare legacy modernization
NYC hospitals maintaining departmental applications on legacy platforms need EHR-integrated modern solutions.
Departmental system replacement. Legacy lab, pharmacy and radiology systems replaced with EHR-integrated solutions. Migration preserving patient records with HIPAA-compliant handling throughout.
Clinical decision support. Legacy rule-based systems upgraded to modern platforms reducing alert fatigue. Integration with genomics and real-world evidence data sources. Human clinical judgment essential.
Patient-facing modernization. Legacy patient portals replaced with mobile-first applications integrated with Epic MyChart or equivalent. Modern digital experience for patient engagement.
NYDFS and financial regulation
NYDFS Part 500. Applies to covered persons operating under a licence, registration, charter, certificate, permit or similar authorisation under New York banking, insurance or financial services law, with specific exemptions. TPSP have risk-contract roles, not automatic regulation as covered entities. Cybersecurity requirements that legacy systems cannot provide often motivate modernization.
SEC 17a-4. WORM or qualified audit-trail route for actual broker-dealer business records. Distinct from RIA 204-2. Not all financial data raw log mandate.
SOX. SOX applies to actual issuer ICFR with risk-based management assessment and reasonable assurance. Not every company or software audit trail creates automatic SOX compliance. A hypothetical insurer is not automatically a SOX issuer; actual entity status determines applicability.
SHIELD Act. Defined private information with actual owns, licenses and maintainer roles. Data protection requirements during and after modernization.
LL144. Actual employment AEDT substantial-assistance NYC job applicant, promotion and employer agency nexus. Not every migration dashboard or lead score.
SR 26-2. Current SR 26-2 superseded 11-7 and 21-8 April 17 2026. Explicitly excludes GenAI and agentic from its scope. Do not present as universal AI obligation.
Strangler fig for regulated systems
Seam selection. Which system is authoritative for each object, write and period during coexistence. API facade, UI routes, adapters and batch files as appropriate for each function.
Dual-write design. Single authoritative write or deliberately engineered dual-write with CDC, versioning, conflict detection and cross-system reconciliation. CDC stream is not a transactionally complete replacement without source, delete, schema and retention semantics.
Reconciliation. Idempotency keys enforced by receiving side. Finite retries with DLQ. Unknown outcomes require reconciliation before replay, especially for payments, invoices and settlement. Bound timeouts, rate, concurrency and spend.
Data migration methodology
Financial data. Row-level reconciliation with automated checksum comparison. Financial column totals verified. Regulatory data verified for completeness. Migration documentation formatted for SEC, FINRA and NYDFS examination.
Type mapping. Data mapping of types, nulls, time zones, currency, rounding, identifiers, encoding, history and crosswalks. Retention reconciled against agreed totals and representative records.
Cutover rehearsal. Observable acceptance, measurable RTO, RPO and latency targets. Rollback feasibility assessed after schema, data and contract changes. Compensations can require human, legal or accounting review, not automatic no-loss undo.
Regression and testing
Representative business-critical paths and controls. Meaningful integration, contract, performance, security and manual accessibility UAT with owner approval. Not exhaustive proof of every path or universal 100% coverage. Batch and EDI coexistence can be safer than claiming all real-time REST where appropriate.
Illustrative Example
Hypothetical: New York insurance carrier modernizing mainframe policy administration
A New York insurance carrier operating a mainframe COBOL policy administration system needs modernization for faster product development and regulatory reporting. The system encodes decades of underwriting and rating logic in COBOL code.
Strangler fig modernization would extract the rating engine first as a modern configurable service, followed by policy lifecycle, then billing. Each extraction preceded by data migration, parallel running and staged cutover. If the carrier is an actual SOX issuer, ICFR controls mapped, evidenced and approved at each extraction checkpoint. NYDFS Part 500 cybersecurity requirements addressed through mapped controls with documented evidence and exception handling at each stage.
Assumptions: COBOL code accessible for analysis, subject matter experts available for business rule validation, parallel running feasible for validation periods, actual issuer status and applicable compliance regimes identified, and regulatory examination documentation requirements understood. Residual risks include undiscovered business rules in decades of COBOL, data quality issues in mainframe databases, staff transition to modern tools, and elapsed timeline for full migration. No guarantee of specific cost savings, product velocity improvement, developer hiring timeline or regulatory examination outcome.
This is a hypothetical scenario for illustration. Actual scope, timeline and cost depend on your requirements.
Cost and timeline
Legacy system modernization follows the published cost guide.
| Tier | Range | Timeline | Example |
|---|
| UI Modernization | $40K to $100K | 8 to 16 weeks | New frontend, API wrapper, improved UX |
| Re-Platforming | $100K to $250K | 16 to 32 weeks | Modern stack, containerization, cloud, data migration |
| Re-Architecture | $250K to $400K | 8 to 14 months | Decompose monolith, event-driven, modern data layer |
| Full Rebuild | $400K to $500K+ | 12 to 18+ months | Ground-up rebuild with agreed availability target, rehearsed staged cutover and maintenance windows |
Vendor comparison
These 2026 US-buyer planning ranges illustrate re-platforming a 10 to 15 year old business-critical system using a strangler fig approach, modern stack, API wrappers, phased data migration and regression harness. They are guide-based illustrations, not empirical market surveys or independent local quotes.
| Vendor route | Typical cost | Timeline |
|---|
| Freelance or dev collective | $40K to $130K | 5 to 12 months |
| Offshore systems integrator | $60K to $200K | 8 to 14 months |
| ZTABS | $100K to $280K | 6 to 12 months |
| Large consultancy | $300K to $1M+ | 10 to 18 months |
| SaaS replacement (where a vendor fits) | $50K to $200K implementation | 4 to 9 months |
The published re-platforming guide's combined allowance for parallel-running infrastructure, knowledge-transfer from senior staff and where-applicable compliance revalidation is $100K to $500K or more regardless of vendor path, with SOX, HIPAA and FDA as the guide's example regimes. This is a scope-dependent planning illustration, not a universal surcharge or all-regime requirement. Actual project regimes such as NYDFS, SOX or HIPAA validation and shared-infrastructure costs are separately scoped per engagement. Selected licences, vendor contracts, data cleansing, dual-run support and revalidation boundaries apply.
Proposal evaluation criteria
Use these criteria when evaluating any vendor proposal for this engagement, including ZTABS:
| Criterion | What to verify |
|---|
| Strategy, deliverables and acceptance | Agreed modernization approach with keep, upgrade, configure or replace alternatives for each system and documented acceptance criteria |
| Data source-of-truth and reconciliation | Which system is authoritative for each object and period, CDC and reconciliation design evidence, data ownership boundaries |
| Rehearsal, cutover and rollback | Phased rehearsal with actual maintenance windows, rollback feasibility after new writes and schema changes, record and control validation with approved RTO and RPO |
| Security, privacy and compliance | Access, safety and compliance evidence during and after migration, exception register with owner acceptance, residual risk documentation |
| Full recurring costs | Licences, parallel-run infrastructure, third-party vendor, support, data cleansing and revalidation costs separately itemised |
| Human roles and responsibility | Trainer, validator and support responsibility split, agreed staff languages, documentation, review, translation and onsite terms |
Need help with regulated system modernization?
Share your mainframe or legacy landscape, COBOL codebase size and regulatory requirements. We provide a scoped estimate based on system complexity and compliance preservation.
Modernization approach selection
New York enterprises need clear criteria for choosing between targeted remediation, upgrade, re-platform, re-architecture, rebuild and replacement. Each approach carries different risk, cost and timeline profiles.
Targeted remediation. Patching specific pain points in an otherwise functional system. Appropriate when the core architecture is sound but specific capabilities need improvement. Lowest cost and risk but limited upside.
Re-platforming. Moving to modern infrastructure while preserving application logic. Appropriate for stable business logic on obsolete infrastructure. Moderate cost with infrastructure benefits.
Re-architecture. Decomposing monolith into services. Appropriate when the application needs to scale, integrate or evolve independently. Higher cost with architectural benefits.
Full rebuild. Ground-up development. Appropriate when legacy code is unmaintainable, business logic needs fundamental updating, or architecture cannot support requirements. Highest cost with maximum flexibility.
SaaS replacement. Replacing custom systems with commercial SaaS. Appropriate when standard products cover requirements. Lowest build risk but highest fit risk for custom workflows.
How delivery works
ZTABS is remote-first by design from our Houston, Texas office. Houston is Central time, 1 hour behind New York ET. We agree on overlapping work hours during project setup.
Assessment. Application archaeology, COBOL code analysis, business rule extraction, data assessment and risk analysis. Regulatory compliance mapping for SOX, NYDFS and HIPAA.
Incremental migration. Strangler fig extraction of bounded contexts. API enablement, data liberation and function-by-function migration with parallel validation.
Cutover and compliance. Documented rollback plans. Compliance documentation for regulatory examination. Legacy decommission with data archived for retention requirements.
Real estate and PropTech modernization
New York real estate firms manage properties with legacy tenant management, lease administration and building operations software. Systems deployed 15 to 20 years ago cannot support IoT building management, modern tenant portals or API-based integrations.
Tenant management. Legacy tenant databases and lease administration systems modernized with modern platforms supporting digital lease execution, automated billing, tenant portal access and property analytics.
Building operations. Legacy building management systems integrated with modern IoT platforms for energy management, predictive maintenance and occupant comfort. Historical energy and operations data preserved for regulatory compliance.
Investment management. Legacy real estate investment management systems modernized for modern portfolio analytics, investor reporting and regulatory compliance including FIRPTA handling. FIRPTA imposes tax on the foreign transferor disposing of a US real property interest, while the buyer or transferee generally has withholding and reporting obligations as withholding agent.
Integration and dependency management
New York enterprise environments have dense integration networks. Legacy systems often have integration points discovered only through systematic analysis.
File and EDI coexistence. Batch and EDI integrations can be safer than claiming all real-time REST. Financial services still use FIX protocol, SWIFT messaging and batch reconciliation. Legitimate configuration, manual controls and file fallbacks preserved where they serve the business.
Authentication versus authorisation. Authentication identity is not the same as object-level, tenant-level or role-level authorisation. Financial services modernization must address both with appropriate granularity matching regulatory requirements.
Logs and retention. Logs minimise and redact secrets and regulated payloads with actual retention and legal holds. SEC 17a-4 retention requirements for broker-dealer records. HIPAA Privacy Rule does not itself mandate a general medical-record retention period; required Privacy and Security documentation has its own retention. Medical and financial records follow applicable state law, contracts and legal holds.
Inventory and discovery
Successful New York enterprise modernization begins with complete inventory of legacy applications, users, scheduled jobs, database procedures, reports, file and EDI dependencies, vendor contracts and supported versus end-of-life versions. Large organisations cannot modernize without systematic discovery. Business rules discovered with users through representative transaction analysis and fixture-based testing.
When ZTABS is not the right fit
These describe the boundaries of this proposed modernization engagement, not company-wide limitations.
- The system still works and nobody is asking for changes. Wait for a real forcing function.
- 5,000+ person mainframe programme. Global system integrator scale required for this scope. A separately scoped assessment or integration engagement may apply.
- On-site embedded team in regulated facility. ZTABS is remote-first by design. If the engagement requires permanent on-site staff, a separately scoped arrangement would apply.
- SOX, NYDFS or SEC advisory. This engagement builds platforms, not regulatory advice. Regulatory advisory is a separately scoped professional service.
- Automated COBOL-to-Java conversion alone. Automated conversion produces code that is technically modern but architecturally legacy.
Risks and mitigations
Regulatory compliance gaps. Compliance controls maintained with agreed coverage and checkpoint documentation at each stage. Residual compliance risk documented in exception register with owner acceptance.
Undiscovered business rules. Application archaeology combined with parallel operation catches rules that neither code analysis nor interviews alone discover.
Data migration accuracy. Financial-grade reconciliation with row-level verification. Regulatory data verified for completeness.
Talent transition. Modern technology stack enables hiring from available talent pool. Knowledge transfer ensures operational continuity.
White-label AI products
ZTABS builds custom white-label AI products for clients to brand and resell. New York fintech and insurtech companies can commission white-label AI platforms for distribution under their own brand.
Handover
Modernization handover includes runbooks, data lineage, licensing, support contacts and accountable owners. Compliance documentation formatted for regulatory examination. Financial services handover includes regulatory data lineage, SOX control documentation and NYDFS Part 500 cybersecurity programme documentation.
Ready to modernize your New York legacy systems?
Share your legacy system landscape, regulatory requirements and modernization constraints. We start with assessment covering application archaeology, compliance mapping and modernization strategy.