AI-Driven Application Modernization Services

SUMMARY

OVERVIEW

SUMMARY

Simplify fragmented platforms without slowing growth

10% average annual growth as more than 100 brands moved from fragmented backends to one headless, microservices architecture. Shipping-compliance automation reached 100%.

- Fortune 500 beverage company

Strengthen cloud governance without disrupting operations

Zero operational interruptions while a new cloud governance framework introduced a multi-account structure, centralized logging, and automated provisioning.

- $1B+ customs and trade leader

Replace manual processes with systems that scale

~25% increase in electronic collection through an API-first premium-payment portal designed to scale across markets.

- Global insurer

Modernize core systems without inheriting legacy constraints

One centralized data strategy replaced redundant dealer-management-system integrations as legacy infrastructure moved from outdated mainframe systems to Hadoop.

- American automotive manufacturer

Application portfolio rationalization

Application transformation

Cloud & platform modernization

Legacy & core transformation

Focus technology investment where it creates the most business value.

We help you reduce the maintenance burden across the estate so more of the org can focus on AI, product, and CX innovation.

Application discovery and assessment
Business value, technical debt, and dependency analysis
Rationalization, consolidation, and modernization roadmaps

Turn existing applications into engines of growth and innovation.

We help modernize applications, experiences, and integrations so your teams can respond to market shifts and deliver new business capabilities faster.

Application re-architecture and refactoring
APIs, microservices, and cloud-native modernization
Digital experience modernization

Create the foundation required to scale innovation.

We modernize cloud environments and engineering platforms so teams can more efficiently build, release, and operate products while supporting the demands of enterprise AI.

Cloud migration and modernization
Platform engineering and DevSecOps
Observability and reliability engineering
Cloud governance and optimization

Transform legacy systems into AI-ready business capabilities without risking the business.

Recover the business knowledge buried in legacy and mainframe systems, then modernize with a clear path forward.

Reverse engineering and business-rule extraction
Legacy decomposition and re-platforming
Legacy-to-cloud migration

Understand what you have

Proprietary (FRIDA) and approved hyperscaler capabilities examine code and documentation, map dependencies, and surface buried business rules. Engineers and business owners review the findings.

Explore the future state

We use AI to brainstorm and simulate multiple possible futures in parallel, then narrow them down based on business goals.

Build

Our Smart Pods use FRIDA and approved hyperscaler tools to build and test against the application's data, integrations, and business rules. Engineers resolve discrepancies and approve what ships.

What is application modernization?

Updating legacy applications to modern architecture, cloud infrastructure, and AI-ready standards, without necessarily rewriting everything from scratch. The right approach depends on the application: retain, replatform, refactor, rebuild, or retire.

What's the difference between application migration and application modernization?

Migration moves an application to a new environment, often to improve cost, supportability, or continuity. Modernization changes the application itself, including its architecture, interfaces, user experience, or operating model, to improve delivery, resilience, and the capabilities it can support.

How do you modernize legacy applications without losing business logic?

FRIDA, our AI-native delivery system, helps reconstruct business rules and critical behavior from undocumented code into specifications, documentation, and tests that teams can review before transformation. Engineers then validate the modernized application's behavior against the original before release. The goal isn't only a faster rewrite. It's confidence that the rules the business depends on survived it.

Do you modernize mainframe applications?

Yes. Mainframe modernization can include discovery, code transformation, replatforming, platform replacement, and mainframe exit. For AWS-specific programs, see Softtek's AWS Cloud Services.

What engagement models do you offer?

We offer client-managed, co-managed, and Softtek-managed engagement models. Programs can start with a focused two- or three-pod workstream around the highest-value applications, then scale as the roadmap and business case become clearer.