APPLICATION & SYSTEM MODERNIZATION
Enterprise portfolios carry dozens of applications nobody fully understands anymore. Original teams moved on. Documentation stopped reflecting reality years ago. Sanciti AI assesses every application for structure, dependencies, and business criticality, then groups them into modernization waves. Legacy application modernization and legacy system modernization run together in one governed pipeline. Applications and the systems underneath move as a coordinated program.
LLM-agnostic · Secure by design · OWASP & NIST aligned · Audit-grade traceability
Faster application migration cycles
Lower portfolio QA spend
Faster cross-system deployments
Test coverage per application
Fewer post-migration defects
TRUSTED FOR PORTFOLIO MODERNIZATION
Regulated enterprises running legacy application modernization across multi-system portfolios rely on Sanciti AI
Built by V2Soft, 28 years of enterprise delivery · 17 global locations · 6 countries
Sanciti LEGMOD
LEGMOD doesn’t modernize one application at a time. It maps the entire portfolio, scores every application, identifies cross-system dependencies, and builds a wave plan that moves connected systems together. Applications and their underlying infrastructure migrate as coordinated groups, not isolated projects.
Portfolio modernization fails when applications move independently and break shared dependencies nobody mapped. LEGMOD treats the portfolio as a connected system, not a list of standalone projects. That’s why migrations land on schedule instead of stalling at 60% complete.
Each agent handles a specific phase. Connected through one pipeline so output from application assessment flows directly into code conversion, testing, and deployment without manual handoffs.
WHY SANCITI AI FOR APPLICATION MODERNIZATION
The platform learns each application’s codebase, patterns, and integration behavior. Output quality improves as more of the portfolio moves through the pipeline. Earlier waves train later ones.
From original code to extracted requirement to generated output to test result to deployment record. Across every application. Across every wave. Audit-ready without manual assembly.
APPLICATION STACKS WE MODERNIZE
Each application gets assessed individually. Dependencies mapped across the portfolio before any conversion begins.
COBOL Applications
→ Java / Spring Boot
Mainframe applications with decades of accumulated business logic. RGEN maps every copybook, JCL dependency, and CICS transaction before CodeGen converts to microservices.
WebSphere and WebLogic applications with complex EJB dependencies and shared JNDI resources. Portfolio migration requires mapping cross-application datasource usage first.
Windows-server-bound applications sharing databases and WCF services. System modernization handles the shared infrastructure while application conversion handles the code.
Desktop apps with COM dependencies and local database connections. Migration includes centralizing data access and rebuilding UIs for browser-based delivery.
PowerBuilder and Oracle Forms applications that often share database schemas across business units. Wave planning accounts for these cross-team dependencies explicitly.
Informatica and DataStage jobs feeding multiple downstream applications. System modernization sequences pipeline migration with consuming application waves.
Modernizing one application is a project. Modernizing fifty is a program. The difference is that portfolios contain applications sharing databases, calling the same services, passing data through layers built over decades. Touch one without mapping connections and three others break. That’s why legacy application modernization at scale starts with dependency mapping, not conversion.
RGEN reads every codebase and scores each application across four dimensions. Complexity measures how tangled the code is. Technical debt shows drift from maintainable patterns. Dependency risk captures cross-system connections. Business value reflects operational criticality. High-value, high-debt apps move first. Low-value ones retire. Nobody wastes budget modernizing something that should be decommissioned.
LEGMOD groups applications into waves based on shared dependencies and business priority. Connected systems migrate together. Early waves take quick wins that build confidence. Complex, tightly coupled systems follow with patterns from earlier migrations. Each wave carries defined scope, success criteria, and rollback procedures. The portfolio shrinks as waves progress because retirement candidates decommission alongside active migrations.
Leaders see cost-benefit data per wave before committing resources. Projected savings, effort, risk, timelines. All from code analysis, not rules of thumb. The board conversation shifts from “we estimate two years” to “wave one delivers these apps in Q1, here’s projected savings.” Legacy application modernization services become a budgeted program with measurable milestones, not an open-ended initiative.
Legacy system modernization addresses infrastructure applications run on. Mainframes processing batch jobs. Databases with 20 years of schema evolution. Middleware routing data between systems never designed to talk to each other. Modernize the application without modernizing the system underneath and new code inherits every infrastructure constraint.
LEGMOD sequences system migrations alongside application waves. Shared databases move when consuming applications are ready. Integration middleware rebuilds for modern API patterns. Batch processing converts to event-driven workflows. RGEN maps every connection first: which apps read which databases, which services call which APIs, which batch jobs produce files consumed downstream. That map prevents the failure where migrating one system silently breaks five others.
Database modernization runs alongside code conversion. Schema structures carrying decades of patches need the same code-level analysis the applications get. RGEN maps data access patterns per application. Single-use tables migrate with their app. Shared tables wait until all consumers are ready. Data quality issues surface during extraction, not in production after cutover. For enterprises where the database is the most complex piece, handling it explicitly prevents months of legacy software modernization remediation.
PORTFOLIO ACCESS
Portfolio-wide visibility and application-level depth from whichever interface your team prefers.
PORTFOLIO OUTCOMES
Multi-application SDLC overhaul across diagnostic and manufacturing systems with cross-team dependency management.
Portfolio-wide migration of monolithic Java claims platform into independent, scalable microservices across business units.
System-wide test automation covering cross-application data flows and integration points across the trading platform estate.
Portfolio-scale modernization touches every stakeholder differently. The value shows up in budget conversations, hiring pipelines, audit prep, and feature roadmaps.
COMPLIANCE FOR PORTFOLIO MIGRATION
Single-tenant deployment · Private VPC (AWS / Azure) · Cross-application PII/PHI protection · Portfolio-wide audit trails
FAQ
Updating enterprise applications so they meet current standards for security, performance, and scalability. Business logic stays. Technology changes. A .NET Framework app becomes .NET Core. A monolith becomes microservices. Legacy application modernization services cover code analysis through conversion, testing, deployment, and support. Sanciti AI runs it at portfolio scale through LEGMOD, not one app at a time.
Yes. Parallel running for business-critical apps. Legacy and modern versions run side by side, outputs compared at field level. Discrepancies surface before cutover. Rollback exists for every wave. For legacy modernization services on high-volume systems, parallel validation catches what unit testing misses.
RGEN reads COBOL, JCL, CICS, VSAM. Extracts batch logic, transaction flows, data patterns. CodeGen generates Java/Spring Boot for cloud. Batch becomes event-driven. CICS maps to REST. For software modernization services on mainframe estates, code-level extraction makes the conversion accurate.
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© 2026 Sanciti AI LLC. All Rights Reserved. · Secure · Scalable · Smart · LLM-Agnostic
Full-service framework including:
Generates Requirements, Use cases, from code base.
Generates Automation and Performance scripts.
Code vulnerability assessment & Mitigation.
Production support & maintenance, Ticket analysis & reporting, Log monitoring analysis & reporting.
AI-Powered Legacy Modernization That
Accelerates, Secures, and Scales
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