Turn legacy systems into leverage
Phased modernization that retires technical debt, unlocks AI readiness, and ends the 80% maintenance tax — without a multi-year rip-and-replace betting your business on a flag day. AI-assisted code analysis, equivalence-tested cutovers, and senior architects who own the outcome.
Phased, never flag-day
Strangler-fig modernization runs the legacy and modern systems side-by-side, routing traffic gradually with equivalence tests at every step. Business continuity is the baseline — and rollback is a config change, not a fire drill.
AI-assisted comprehension
Discovery that consumed half of legacy modernization budgets through 2022 now runs 60–80% faster. Automated code analysis, dependency mapping, and documentation generation slash the most expensive phase — without removing senior judgment.
Boutique pricing, senior delivery
Senior architects do the work — not a junior offshore pyramid. Engagements priced ~30–50% below the Big 4 / global SI median for equivalent scope, with the same caliber of architects assigned to your account end-to-end.
End the 80% maintenance tax — and the cost of delay
70% of Fortune 500 software was built more than 20 years ago. Organizations spend up to 80% of IT budgets maintaining legacy instead of innovating. Modernization isn't a technology project — it's a capital allocation decision your CFO should approve before the next breach, audit finding, or M&A diligence call exposes the cost of waiting.
Application portfolio rationalization
Inventory every application, map dependencies via AST analysis, score technical debt across 15+ enterprise dimensions, and assign each workload one of six modernization strategies — with documented rationale, target stack, and ROI horizon.
Refactor & rearchitect
VB6, COBOL, .NET Framework, Oracle Forms, Java EE migrated to modern stacks: .NET 8, Java 21 + Spring Boot, Node, Python, Go. Monoliths decomposed to microservices via strangler-fig — never a 12-month code freeze.
Data & integration modernization
Database modernization (Oracle → PostgreSQL, SQL Server → Aurora, Db2 → cloud-managed), API enablement of legacy via gateway patterns, event-driven architecture, and data platform consolidation for analytics and AI readiness.
Security & compliance modernization
Legacy systems can't be patched fast enough, instrumented properly, or isolated cleanly during incidents. Modernization rebuilds with security-by-design, audit-ready logging, and compliance evidence for SOC 2, HIPAA, PCI DSS, FedRAMP, CMMC.
How does it work?
Engagement starts with a 3–6 week assessment: AI-assisted code analysis (we ingest the legacy codebase and produce dependency maps, module inventories, and reconstructed documentation), stakeholder workshops, business-rule extraction, and target architecture proposals. The deliverable is a portfolio-wide modernization plan with per-application strategy, cost, timeline, ROI, and risk profile your leadership team can approve before a single line of modern code is written.
From there, modernization proceeds in waves of 8–16 weeks each. Every wave runs strangler-fig: new services stand up alongside the legacy system, equivalence tests verify identical output at the integration boundary, traffic shifts gradually (1% → 10% → 50% → 100%), and the legacy module retires only after parity tests pass at 99.99% match for 30 days. We don't do flag-day cutovers — and we don't keep your IaC, source code, or migration tooling hostage in our private repos.
Six modernization strategies — picked per workload, not per portfolio
Most failed modernizations apply a single strategy across an entire portfolio. We use Gartner's six-strategy framework to assign each workload its right disposition — based on business value, technical debt score, integration complexity, and ROI horizon.
Encapsulate
Wrap legacy code with modern APIs to expose its data and logic to new applications, without touching the underlying system. Buys time and unlocks integration without a migration. Best for stable but non-strategic workloads.
Rehost
Move the application as-is to modern infrastructure (cloud VMs, containers). Lowest engineering effort, fastest cutover, modest cost reduction. Best when you need to exit a data center fast or buy time before a deeper modernization.
Replatform
Move the workload with targeted modernization — managed databases, autoscaling, managed Kubernetes — without rewriting the application. The most common disposition for mid-market workloads with moderate technical debt.
Refactor
Restructure existing code without changing external behavior — clean architecture, dependency injection, test coverage, modern frameworks. Often the right answer when teams ask for a rebuild but the underlying logic is sound.
Rearchitect
Re-architect monoliths into microservices, event-driven systems, or serverless. Highest engineering effort, highest long-term ROI. Reserved for strategic workloads where modernization unlocks new business capability.
Rebuild & replace
Replace legacy with new code or commercial SaaS. Necessary when the legacy system genuinely blocks growth and partial modernization isn't enough. We aggressively recommend SaaS replacement (M365, Salesforce, Workday) before custom rebuild.
Strangler-fig modernization — phased, safe, reversible
New functionality stands up alongside the legacy system. Traffic shifts gradually as parity is proven. The legacy module is retired only when the modern service has met every functional and non-functional requirement at production load.
Assess
AI-assisted code analysis, dependency mapping, business-rule extraction, portfolio strategy assignment.
Stand up
Build modern services alongside legacy. Equivalence tests verify identical behavior at the integration boundary.
Shift traffic
Gradually route traffic — 1% → 10% → 50% → 100%. Rollback is a config change, not a fire drill.
Retire
Decommission the legacy module after 30 days of clean operation. Repeat for the next workload in the wave plan.
What we actually deliver — every engagement
Every visual below is drawn from real client deliverables. No demo data, no boilerplate, no copy-paste content.
Portfolio Assessment & Tech-Debt Scoring
Every application in your portfolio is scored across 15 enterprise dimensions: code quality, test coverage, framework currency, dependency health, security posture, scalability ceiling, deployment frequency, observability, documentation completeness, key-person risk, regulatory exposure, integration coupling, data architecture, infrastructure dependency, and modernization complexity. The output is a defensible heatmap that turns "we should modernize this" into a board-ready capital allocation conversation.
AI-Assisted Code Translation & Refactor
The discovery and translation phases that consumed half of every legacy modernization budget through 2022 now run 60–80% faster. Automated codebase analysis maps undocumented dependencies in days. Code translation tooling converts COBOL → Java, VB6 → C#, legacy SQL → modern ORM — with senior architects validating every meaningful translation. Equivalence tests are auto-generated from the legacy behavior and run against the modern implementation, verifying identical outputs against production data before a single byte of traffic shifts.
Wave Planning & Cutover Execution
Modernization runs in waves of 8–16 weeks each. Every wave has a written cutover plan, equivalence test gates, traffic-shifting playbook (1% → 10% → 50% → 100%), rollback procedure, and stage-gate review at the steering committee. The legacy module retires only after 30 days of clean operation in production at full traffic. We don't do flag-day cutovers, we don't promise zero risk where risk is real, and we don't accept "it works" as a substitute for "the equivalence tests pass."
Outcome Measurement & ROI Tracking
Every engagement is measured against a baseline captured before the first wave: DORA metrics (deployment frequency, lead time, MTTR, change failure rate), maintenance-cost share of total IT spend, security posture score, audit findings count, and engineer-hour-per-release. Quarterly reviews report progress against baseline to your steering committee. We build the ROI case the way your CFO and board will read it — not the way it's easiest to package in a slide.
Three scenarios where modernization is no longer optional
Some legacy systems will keep working for years. Others are quietly compounding business risk every quarter you wait. These are the three signals that move modernization from "someday" to "this fiscal year."
Maintenance is eating innovation
Your team spends 60–80% of capacity keeping legacy systems alive. Roadmap items slip every quarter because production is on fire again. Cyber insurance premiums are climbing. The cost of waiting is now visible in every operating review.
Talent retention is breaking
The COBOL, VB6, or Oracle Forms experts who actually understand the system are retiring. New engineers don't want to maintain 1990s code. By 2027 the majority of remaining mainframe-era developers will be gone — and tribal knowledge doesn't transfer well.
M&A or AI ambition exposed it
An acquirer flagged technical debt as a discount item in diligence. Your AI strategy keeps stalling because the data sits in systems you can't expose. Customer security questionnaires are getting harder to pass. Modernization is now a board-level conversation.
Scope-driven, fixed-fee engagements
Every modernization engagement is quoted as a firm fixed price per wave after a 60-minute scoping call and (for larger portfolios) a 3–6 week assessment phase — there is no public price tier because the cost is driven entirely by codebase size, technical debt depth, integration complexity, regulatory burden, and target architecture. We benchmark our quotes quarterly against published 2026 rates from Accenture, Capgemini, Cognizant, IBM Consulting, HCLTech, Wipro, DXC, Infosys, Hexaware, and Deloitte, and price our engagements approximately 20% below the mid-market median — and 30–50% below Big 4 / global SI rates for equivalent senior delivery.
Frequently asked questions
The questions we get most from CIOs, CTOs, and engineering leaders evaluating modernization partners. Talk to a senior modernization architect for anything else.
Why do most modernization projects fail?
How long does a typical modernization take?
What languages and platforms can you modernize?
Can the legacy system stay running during modernization?
How do you handle undocumented systems?
Should we rehost first and refactor later?
Do you keep our source code or IaC hostage?
What does a modernization engagement cost?
Learn more about modernization strategy
Buyer guides, case studies, and architecture deep-dives from the iSECTECH modernization practice.
Modernization pricing in 2026: what you should actually be paying
A market analysis of legacy modernization pricing across SMB, mid-market, and enterprise tiers — and why boutique architects deliver senior outcomes at 30–50% under Big 4 rates for equivalent scope.
Read moreVB6 to .NET 8 in 14 months: how a manufacturer cut maintenance 47%
How a 480-employee manufacturer modernized a 1.2M-line VB6 ERP using strangler-fig and AI-assisted code translation — with the wave plan, DORA metrics, and ROI breakdown.
Read moreThe 6 modernization strategies, ranked: which one for which workload
A practical decision framework for picking between Encapsulate, Rehost, Replatform, Refactor, Rearchitect, and Rebuild — with the specific signals that should change your default answer.
Read moreStop maintaining the past. Build the future.
Three ways to start the conversation — pick whichever fits your stage.
Request a modernization assessment
A 60-minute confidential conversation with a senior modernization architect. You'll receive a fixed-fee assessment proposal within 48 hours, benchmarked at ~20% below market.
Request a sample deliverable
See exactly what you receive — an anonymized portfolio assessment, tech-debt heatmap, modernization wave plan, and ROI model from a real engagement.
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