Application Modernization Services on a Managed Monthly Delivery Plan
Move legacy .NET, Java and PHP applications to a modern, maintainable platform without stopping the business. Through the Delivery Plan, you get one team, one predictable monthly price and one prioritised backlog. Add mobile, web, backend, AI, data, QA or DevOps work to the same backlog whenever you need it.
Use your plan for application modernization.
Trusted by engineering leaders at ambitious startups, enterprises and global brands.
Track every migration phase and cutover on the Scrums.com Platform
Goals break down into tasks. Milestones are agreed before work begins. You see which components are modernized, what remains and where risk sits, and the next task starts the moment one ships.
- Legacy behaviour captured in tests
- Service runs in parallel
- Code review approved
- Traffic shifted, rollback on standby
How the application modernization process works
What one workstream delivers, for modernization or any software
Your backlog can hold any number of requests, but the team delivers them one workstream at a time. A workstream is one managed team working on your highest-priority request until it is live, then starting the next. More requests mean more months, not faster delivery. Work is scoped and delivered within your plan’s capacity. Priorities can change; additional parallel workstreams require more capacity. The same plan covers mobile, web, backend, AI, data, QA and DevOps work, so all of it can share one backlog.
- Active at once
- One request
- Assessment
- 2 to 4 weeks
- First modern services
- 2 to 3 months
- Code owned by
- You
Example: a legacy monolith on one workstream
Illustrative- Month 1Assessment and discovery: architecture, codebase, dependencies and technical debt documented. Then the strategy: a target architecture, an approach for each component and a phased roadmap.
- Month 2Incremental modernization starts: infrastructure modernized, the first domain extracted behind an API, and legacy and modern components running in parallel under automated regression tests.
- Month 3The first modernized services go live through a blue-green or canary cutover, with rollback on standby, while the next domain moves into migration.
A sample programme. It matches the 2 to 4 weeks an assessment takes, the 2 to 3 weeks for strategy and roadmap, and the 2 to 3 months to the first modernized services. Onboarding starts immediately after checkout, and your delivery owner scopes your own plan with you.
What affects the number of months
- Platform sizeThe number of applications, domains and components to modernize.
- Migration strategyRe-hosting moves fastest; re-platforming, re-architecting and re-coding each add work.
- Technical debtOutdated frameworks, missing tests and undocumented business logic add work up front.
- Data complexitySchema conversion, reconciliation and parallel database running add migration work.
- IntegrationsEach legacy integration needs a modern API or a bridge during the transition.
- Continuity requirementsZero-downtime cutovers need parallel running and rehearsed rollbacks.
Legacy software modernization: assessment, microservices, cloud, code, data and APIs.
Legacy system assessment and modernization roadmap
Codebase audit · dependencies · riskComprehensive analysis of the existing platform: architecture, codebase, dependencies, technical debt, security vulnerabilities and performance bottlenecks. AI code analysis cuts assessment time by 60%. It ends in a phased roadmap that balances business value with technical feasibility, before any migration work starts.
Monolith to microservices migration
Domain-driven design · API contracts · eventsMonolithic applications decomposed into independently deployable microservices using domain-driven design and bounded contexts: service boundaries identified, API contracts designed, event-driven communication in place, and a phased migration that keeps the system stable.
Cloud migration and re-platforming
AWS · Azure · GCP · infrastructure-as-codeOn-premise applications migrated to AWS, Azure or GCP by lift-and-shift, re-platforming or cloud-native refactoring: cloud readiness assessed, architecture designed, infrastructure-as-code implemented, databases and applications migrated, and cloud-native DevOps practices established.
Code modernization and technical debt reduction
.NET · Java · PHP · COBOLSystematic reduction of technical debt: AI-assisted code migration to modern languages and frameworks, dependency and framework updates, refactoring prioritised by business impact, and testing coverage that keeps every release safe.
Database migration and data integrity
Schema conversion · reconciliation · cutoverData preserved through modernization: full backup before migration, schema modernization mapped from legacy to modern structures, automated validation against loss or corruption, incremental migration with rollback, and parallel database operation during the transition.
API and integration modernization
REST · GraphQL · API gatewayLegacy integration patterns transformed into API-first architecture with RESTful APIs, GraphQL, event-driven messaging and API gateway patterns: API contracts and versioning, security and rate limiting, and legacy SOAP/XML integrations modernized.
Assessment, migration, testing and cutover. Managed together.
Every Delivery Plan · Core comes with the full modernization team and the tooling around it: assessment, architecture, migration engineering, AI code analysis and testing, run by one delivery owner. The same team delivers legacy app modernization services and platform modernization on one backlog.

A cutover is not the finish line.
Every Delivery Plan runs on the Enterprise AI Platform for software engineering.
Your team, its AI agents and your delivery data sit on one governed platform. That is what powers your delivery board, the QA and code-review agents, and the talent bench behind your plan.
Modernization engineers and teams
Cloud architects, migration specialists and DevOps engineers from the Scrums.com bench, matched to your platform and domain.
Agents, MCPs and models for modernization
The code-analysis, QA and code-review agents that run alongside your team, plus the MCP servers and models they use.
Infrastructure for the target platform
Cloud, data and AI infrastructure for the modernized platform, deployable from the catalog with your $500 first-month credits.
One modernization hire covers one role. The plan covers the whole team.
Modernization needs assessment, architecture, migration, data, testing and cutover work. Hiring covers them one role at a time. The Delivery Plan covers them in one monthly price.
Why companies choose managed legacy modernization services
Strangler fig, never big-bang
New features build on the modern architecture, existing features migrate gradually, and legacy components retire only when fully replaced.
One monthly price
One plan price for assessment, migration and testing. Your scope sets the number of months.
AI-powered code analysis
AI agents find technical debt hotspots, map dependencies and suggest migration patterns, cutting assessment time by 60%.
Every approach
Re-host, re-platform, re-architect, re-code or refactor, chosen component by component.
No functionality lost
Automated regression tests capture existing behaviour, and feature parity is tracked through every phase.
Migration visibility
Which components are modernized, what remains and where technical debt exists, on the Scrums.com Platform.
Application modernization case studies
Platform rebuilds and modernization in regulated and high-traffic environments, delivered without disruption to the business.

SecureCitizen: rebuilding identity verification in-house
- Challenge
- SecureCitizen relied heavily on third-party verification providers. It needed to modernize and regain ownership of its Remote Verification product without disruption to existing clients.
- Platform
- OneVault, a remote identity verification and voice biometrics platform, under strict KYC and AML requirements.
- Work delivered
- An in-house rebuild of the Remote Verification product on a modular, extensible architecture, in weekly sprints with monthly governance reports.
- Result
- Less reliance on third-party identity vendors, more control over security, compliance and the product roadmap, and long-term ownership of core identity IP.
Application modernization scopes you can queue
One Delivery Plan · Core covers your development priorities across services. Start with modernization, then queue mobile, web, backend, AI, data, QA or DevOps scopes on the same backlog, or describe your own.
Angular Framework Upgrade
Move an existing Angular application across major versions, remediating breaking changes and deprecated patterns along the tested upgrade path.
Cloud Migration Sprint
Move a defined application or workload from on-premise or another environment into its target cloud, and cut it over with rollback protection.
Cloud Readiness Assessment
Evaluate applications, infrastructure, dependencies, and operating constraints before a cloud migration. Ends with a readiness verdict and migration roadmap.
Commerce Platform Migration
Migrate products, customers, orders, integrations, and storefront behavior from one commerce platform to another. Finish state: trading on the new platform with data, SEO, and operations intact.
End-of-Life Framework Upgrade
Move an application off an unsupported framework or runtime — compatibility fixes, regression coverage, and a production deployment on a supported version.
Enterprise CMS Replatform
Move a content estate from one CMS to another with content migration, templates, workflows, and launch cutover.
Headless Commerce Replatform
Move a commerce experience to a headless architecture while preserving catalog, checkout, and operational flows. Finish state: the new front end live on the headless stack, transacting real orders.
Identity Provider Migration
Move authentication from one identity platform to another while preserving users, sessions, and application behavior.
Legacy .NET Modernization
Move a defined .NET Framework application toward a supported modern .NET runtime and deployment model, in staged, low-risk increments.
Legacy Database Modernization
Migrate or upgrade an unsupported or constrained database — schema conversion, row-level data reconciliation, and a rehearsed, reversible cutover.
Legacy Java Modernization
Upgrade a defined Java application to supported runtimes, frameworks, dependencies, and deployment patterns, kept releasable throughout.
Legacy React Modernization
Upgrade a legacy React application's architecture, dependencies, build system, and deprecated patterns to the current ecosystem baseline.
Application modernization pricing
Core costs Was $8,000£6,700R140,000 now $4,500£3,750R79,000/month for one active workstream. Your platform’s scope determines the delivery schedule and total cost. You can use the same subscription for other development priorities.
Best for companies whose monolith cannot scale, whose infrastructure costs are unsustainable, or whose technical debt blocks new work.
One plan for your software backlog.
Work is scoped and delivered within your plan’s capacity. Priorities can change; additional parallel workstreams require more capacity.
Application modernization questions, answered
Still deciding? Talk to sales and get a scoped answer for your platform.
Delivery Plan · Core costs Was $8,000£6,700R140,000 now $4,500£3,750R79,000 a month, excluding VAT or sales tax. That buys one active workstream with a managed modernization team. It is monthly delivery capacity, not a fixed price for a complete programme, so your scope sets the number of months. Platform size, migration strategy, technical debt, data complexity, integrations and continuity requirements drive the scope.
Yes. Delivery Plan · Core covers mobile, web, backend, AI, data, QA and DevOps work as well as application modernization. All of it sits in one prioritised backlog and is delivered within your plan’s capacity, one active workstream at a time. Priorities can change; additional parallel workstreams require more capacity.
Legacy assessment and modernization roadmap, monolith to microservices migration, cloud migration and re-platforming, code and database modernization, API and integration modernization, automated regression testing, cutover and legacy retirement, and one accountable delivery owner. Every plan includes $500 in AI infrastructure catalog credits in your first month. Annual plans also include $10,000 in specialist services: a technical assessment, a delivery roadmap and CI/CD pipeline setup.
You rank the backlog. Your delivery owner scopes the top request, agrees acceptance criteria with you, and the team delivers it. You can reorder anything that has not started. One request is active at a time on Core; additional parallel workstreams require more capacity.
The clock starts when you confirm scope and give access to your repositories, environments and legacy systems. Within 48 hours the team has its first code in production in your environment. Within 14 days your first agreed deliverable ships, for example the codebase audit of one legacy system, with its dependencies and technical debt documented. If it does not, your first month is free.
48 hours to first code in production means the first change merged and deployed through your pipeline, counted from the day scope and access are confirmed. 14 days means the deliverable named at kickoff ships within 14 days of that date, or your first month is free. “Thousands of companies” counts organisations that have bought engineering services from Scrums.com since 2012. 40-70% lower infrastructure cost after cloud migration, 5x faster deployments on microservices, 60% faster assessment with AI code analysis and 60% less maintenance are the figures the current Scrums.com application modernization page states. 40-60% cost savings is the figure that page states against US and UK consultancies; it is not a quote for your scope.
Most applications benefit from incremental modernization rather than a complete rewrite. Full rewrites are risky and expensive, and they often discard business logic built up over years. Modernize when the core business logic is sound but the architecture is outdated, or when you cannot afford extended downtime. Rebuild when refactoring costs more than rebuilding, or when the business model has changed so much that the existing functionality has no value. An assessment shows the costs, benefits and risks of each approach.
Simple re-hosting to cloud takes 2 to 4 months. Re-platforming with optimisation takes 4 to 8 months. Complete re-architecture or re-coding of complex enterprise systems takes 12 to 24 months, and large enterprise platforms with mainframe migration or a data centre exit take 18 to 36 months or more. Working increments ship every two weeks, and the first modernized services typically deploy within 2 to 3 months.
Re-hosting (lift-and-shift) moves applications to cloud infrastructure with minimal changes. It is fastest and cheapest, with limited optimisation. Re-platforming migrates to cloud with optimisations such as managed databases, containers or serverless. Re-architecting changes the application structure, for example monolith to microservices, and needs the most investment. Re-coding rewrites in modern languages and keeps the business logic. Refactoring improves code quality without changing functionality. Most programmes combine approaches by component.
Yes. The strangler fig approach avoids big-bang migrations. Modern services are built alongside the legacy system, traffic shifts gradually as services stabilise, and full rollback stays available at each phase. Mission-critical systems get extra safeguards: blue-green deployments, canary releases and extensive monitoring.
Automated regression testing runs throughout modernization. Current functionality is documented before changes, and automated tests capture existing behaviour and run on every change. Legacy and modern systems run in parallel during the transition, business stakeholders run user acceptance testing, and cutover is gradual with immediate rollback. Feature parity tracking shows which functionality has migrated and been validated.
Yes. Modernization covers COBOL, mainframes, legacy Java frameworks, old .NET Framework versions, outdated PHP and old database systems. AI-assisted tools speed up code migration, automated testing preserves functionality, and strangler-fig patterns replace legacy components gradually. Not everything needs immediate replacement: the highest-value improvements go first.
Data migration follows your continuity requirements. A zero-downtime approach keeps legacy and modern databases in sync during the transition, validates consistency continuously and shifts reads and writes gradually. A maintenance-window approach runs tested migration scripts during planned downtime and validates integrity before operations resume. Migration procedures are tested in staging first, with backup and rollback at every phase.
Yes. Most modernization clients have platforms built by previous vendors, acquired through M&A or developed by teams who have left. Code analysis, system observation and knowledge from current team members fill the documentation gap, and AI-powered code analysis speeds up understanding. Within 2 to 4 weeks of assessment, the architecture is typically understood well enough to begin.
Legacy retired. Business uninterrupted.
Delivery Plan · Core: one monthly price, one backlog across your development priorities, one active workstream and a managed team for assessment, migration and cutover in strangler-fig increments.
ASSESS · RE-PLATFORM · MIGRATE · REFACTOR · RETIRE
