AI-Driven Application Modernization
Legacy out. Measured, not promised.
AI-driven application modernization services help businesses refactor legacy code, re-architect monoliths, and migrate outdated systems to cloud-native platforms — using AI-assisted engineering where it demonstrably accelerates delivery, and proven manual practice where it does not.
Why Legacy Systems Are a Growing Liability
The cost of standing still compounds — in maintenance budget, security exposure, and everything your team cannot ship.
- 60-80% of enterprise IT budgets go to maintaining existing systems rather than building new capabilities
- 2x the market for modernization services is set to double by 2027 — your competitors are already moving
- #1 unsupported legacy software is a leading source of security vulnerabilities and compliance findings
Industry figures, cited for context. The numbers that decide your business case come out of the assessment, measured on your estate.
What is AI-driven application modernization?
What is AI-driven application modernization?
AI-driven application modernization is the process of upgrading legacy software — outdated code, monolithic architectures, aging databases — to modern, cloud-native platforms, using AI-assisted tooling to accelerate code analysis, refactoring, test generation, and documentation. A disciplined approach pilots AI workflows on your actual codebase first, measures the gain, and scales only what demonstrably works.
What are application modernization services?
Application modernization services include legacy system assessment, replatforming, refactoring, cloud migration, microservices adoption, and performance optimization.
What does an application modernization company do?
An application modernization company analyzes existing systems, defines a modernization strategy, upgrades application architecture, and ensures seamless transition to modern cloud environments.
What We Offer
Modernization Consulting
Modernization Consulting
Before anything is rebuilt, we audit what you have: architecture, code quality, dependencies, security posture, and total cost of ownership — producing a prioritized roadmap with effort-versus-impact ranking.
What's included
- Current-state audit and technical debt map
- Modernization strategy and roadmap
- 6 R’s mapping per application (rehost to refactor)
- TCO calculation and business case
Architecture Modernization
Architecture Modernization
We break monoliths into microservices and serverless architectures where it pays off — and consolidate where it does not. Cloud-native by design, not by fashion.
What's included
- Monolith to microservices migration
- Serverless and event-driven re-architecture
- Database replatforming to managed services
- API design and integration architecture
Code & Engineering Modernization
Code & Engineering Modernization
AI-accelerated refactoring and technical debt remediation on your actual codebase — legacy language migration, version roll-ups, and test coverage where none existed.
What's included
- AI-assisted refactoring and code translation
- Automated test generation for legacy code
- Version roll-up and dependency upgrades
- Documentation recovered from code analysis
Infrastructure & Delivery
Infrastructure & Delivery
The platform underneath the modernized application: containerization, CI/CD, Infrastructure as Code, and SecDevOps — the practices that keep it modern after we leave.
What's included
- Containerization with Kubernetes
- CI/CD pipeline discovery, build-out, and optimization
- Infrastructure as Code (Terraform)
- SecDevOps and compliance controls
Sustenance & Managed Operations
Sustenance & Managed Operations
Legacy systems that cannot be modernized yet still need to run — and modernized ones need operating. We do both, as an ongoing service with SLOs.
What's included
- Legacy system sustenance engineering
- 24/7 monitoring and incident response
- Cost and performance optimization
- DevOps as a Service
Where AI Actually Accelerates Modernization
Generic AI coding tools learn from clean, documented code — legacy systems are the opposite. We pilot AI on your codebase first, measure the gain, and scale only what works.
Code Analysis & Discovery
AI maps undocumented dependencies, dead code, and hidden business logic across millions of lines — weeks of archaeology compressed to days.
Refactoring & Translation
AI-assisted conversion of legacy languages and frameworks, with every change reviewed by engineers who own the outcome.
Test Generation
Legacy code rarely has tests. AI generates characterization tests that lock in current behavior before anything is touched — the safety net refactoring needs.
Documentation Recovery
Generated from the code itself: architecture diagrams, API docs, and runbooks for systems whose original authors are long gone.
Migration Acceleration
AI drafts the boilerplate of replatforming — IaC templates, service scaffolding, config translation — engineers make the decisions.
Quality Gates
AI-driven code review and anomaly detection in CI, catching regressions the moment they appear rather than in production.
The rule: measured before scaled
Every AI workflow is piloted on your production code with before/after metrics. If it does not show a real gain, it does not go into the delivery process.
How Modernization Works With Us
Assess
Weeks 1–3What you run, what it costs, and what to do first.
Architecture and code quality review
Security and compliance assessment
TCO calculation and risk map
Prioritized modernization backlog
Pilot
Weeks 4–8One workload, modernized and measured, before the program is funded.
Proof of concept on a selected workload
AI workflows measured before and after
Budget and scope validated
Go/no-go evidence for the full program
Modernize
From week 9Wave by wave, with the old system running until the new one has proven itself.
Incremental delivery, wave by wave
Change management and documentation
Testing at every promotion
No big-bang cutover
Support
OngoingThe platform keeps running, and keeps improving.
User feedback collection
Solution monitoring and SLOs
Continuous improvements
On-demand engineering support
What Modernization Returns
For your engineering team
- Technical debt repaid systematically, not deferred
- Outdated code and frameworks eliminated
- Security hardened — unsupported components retired
- Modern tooling and practices adopted with governance
- Integration capabilities your legacy stack could not offer
- Delivery velocity measured before and after — on your code
For your business
- Maintenance spend redirected to new capabilities
- Faster releases — features ship in days, not release windows
- Compliance with industry regulations by design
- Scalability that follows demand instead of hardware
- Better customer experience on every channel
- A codebase new hires can actually work in
- 16 pages Written by our CTO
- Free Instant PDF access
Modernization budgets go to archaeology. This guide shows where.
Written for CTOs and heads of engineering carrying an inherited estate: how agentic AI changes the sequence, the risk, and the business case for legacy modernization on AWS.
- Why the three-year program is no longer the only option
- Where AI changes the sequence — and where it changes nothing
- How to build the business case that was turned down twice
Published by Dedicatted, AWS Premier Tier Services Partner. Instant PDF access.
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Click here if the download hasn't started automaticallyHow is application modernization implemented?
How do companies modernize applications?
Companies modernize applications by evaluating legacy systems, selecting the right approach such as rehost, replatform, or refactor, and implementing cloud-native and DevOps solutions.
What is the application modernization process?
The process includes system audit, modernization roadmap creation, architecture redesign, code refactoring, cloud integration, testing, and continuous optimization.
How long does application modernization take?
Application modernization timelines vary from several weeks to months depending on system complexity, technical debt, and required level of transformation.
What are the benefits of application modernization?
Why invest in application modernization services?
Application modernization services help reduce maintenance costs, improve system performance, increase scalability, and enable faster feature delivery.
What are the key benefits of application modernization?
Key benefits include improved user experience, enhanced security, better integration capabilities, reduced downtime, and support for cloud-native development.
How does application modernization improve business outcomes?
Application modernization improves outcomes by accelerating time-to-market, increasing operational efficiency, and enabling businesses to respond faster to changing demands.
Insights
FAQ
What are application modernization services?
They cover the full path from legacy to modern: assessment of existing systems, strategy and roadmap, re-architecting monoliths, refactoring code, replatforming databases, migrating to cloud, and operating the result — with the scope tailored to what your systems actually need.
How does AI change the modernization process?
AI accelerates the mechanical parts — code analysis, test generation, documentation recovery, boilerplate translation — which typically consume most of a modernization budget. Architectural decisions and production changes stay with engineers. We pilot every AI workflow on your code and measure the gain before scaling it.
Do we have to rewrite everything?
Almost never. The 6 R’s framework maps each application to the lightest strategy that meets the goal — many workloads rehost or replatform as-is, and only the systems where business logic must change get refactored or rebuilt.
How long does application modernization take?
The assessment takes two to three weeks and gives you a per-application answer. A first pilot lands in four to eight weeks; full programs run in incremental waves — you see working modernized systems from the first months, not at the end.
How do you avoid breaking production during modernization?
Characterization tests lock in current behavior before changes begin, delivery is incremental with rollback paths at every wave, and no big-bang cutover is ever required. The old system keeps running until the new one has proven itself.
What happens after modernization is done?
Either your team takes over — with documentation, runbooks, and training — or we keep operating the platform as a managed service with 24/7 monitoring and SLOs. Most clients choose a transition period between the two.
Which cloud platforms do you modernize to?
AWS most often — we are an AWS Premier Tier Services Partner and the only AWS Generative AI and MSP partner in Canada — as well as Azure and Google Cloud. The target is chosen on your constraints: existing licensing, data residency, team skills, and the services each workload actually needs.
How much does application modernization cost?
The assessment is fixed-scope and fixed-price, and it produces the number for everything after it: per-application effort, sequencing, and the TCO comparison against running the estate as-is. Cost drivers are estate size, integration count, test coverage, and how much business logic has to change.
Question not answered? Ask a modernization engineer directly — same-day reply on feasibility questions.
AI-Driven Application Modernization Services
Modernize legacy applications and data with enterprise-grade modernization services from Dedicatted. We help businesses refactor outdated code, re-architect monolithic applications into microservices and serverless architectures, replatform databases, and migrate workloads to AWS, Azure, and Google Cloud using the 6 R’s framework and SecDevOps practices.
Our engineers combine AI-assisted code analysis, refactoring, and test generation with proven cloud-native engineering — CI/CD pipelines, Infrastructure as Code, containerization, and 24/7 managed operations — so modernization delivers measurable velocity, security, and cost improvements, not just newer technology.
Cloud-Native Modernization Services
We help organizations migrate, refactor, and re-architect workloads across all major cloud platforms. Our cloud-native modernization services combine application replatforming with container orchestration, serverless adoption, and DevOps automation, so legacy systems become flexible, observable, and ready for continuous delivery.
Cloud providers we work with:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Oracle Cloud Infrastructure
- Hybrid and multi-cloud environments
Services we deliver:
- Legacy application assessment and modernization roadmap
- Replatforming, refactoring, and rebuilding monolithic systems
- Microservices design and container orchestration with Kubernetes
- Serverless workloads and event-driven architectures
- Cloud migration, observability, and FinOps optimization
Kubernetes, DevOps & Automation
Modernization is more than a lift-and-shift. We pair Kubernetes orchestration with automated infrastructure, CI/CD pipelines, and GitOps workflows so deployment, scaling, and observability stop being bottlenecks. Our engineers package workloads into containers, wire them into hardened pipelines, and codify everything with infrastructure as code and policy guardrails.
Benefits of our Kubernetes and DevOps approach:
- faster, safer releases through automated CI/CD pipelines
- elastic scaling and self-healing for production workloads
- repeatable environments with infrastructure as code
- strong observability, SRE practices, and incident automation
- tighter security and compliance through policy as code
Reduce Technical Debt & Improve Scalability
Legacy applications quietly tax every roadmap. Slow releases, brittle integrations, ballooning maintenance costs, and security exposure all become bottlenecks until the platform itself blocks the business. Application modernization tackles that debt head-on by sequencing the work into pragmatic waves — rehost, replatform, refactor, or rebuild — while keeping services running and protecting data integrity.
Outcomes our clients see:
- faster release cadence and shorter time to market
- lower run-rate infrastructure and maintenance costs
- improved resilience and uptime during peak load
- cleaner foundation for AI, analytics, and new product features
- measurable reduction in long-term technical debt
Why Choose Dedicatted
Dedicatted is an AWS Premier Tier Partner with proven DevOps expertise and deep cloud-native engineering experience. We have modernized workloads across finance, healthcare, SaaS, and data-intensive platforms, and we work hand-in-hand with internal engineering leaders rather than as a black-box vendor.
- end-to-end modernization strategy, assessment, and delivery
- hardened reference architectures for Kubernetes and serverless
- mature DevOps, SRE, and FinOps practices
- security, compliance, and governance baked into every pipeline
- cross-cloud expertise across AWS, Azure, GCP, and hybrid
- focus on measurable business outcomes, not just technology change
Get started with a modernization assessment
Tell us which legacy system is holding you back. Our team responds within one business day with relevant experience and initial technical insights.
Thanks — we have it.
Our team replies within one business day, with relevant experience and a first read on your problem.