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Tackle legacy with an AI-powered approach

Accelerate time to value. Create a future-proofed foundation. Deliver in months, not years.
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Quickly create requirements documentation from old code
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Prototype new applications in minutes to validate ideas
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Accelerate the entire software development lifecycle with AI agents

How AI makes modernisation more achievable

AI is transforming legacy modernisation. It allows organisations to rapidly understand their legacy systems, generate requirements, and rebuild applications faster and more safely. The result is a modernisation journey measured in months, not years.

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AI-driven analysis is 75% faster, rapidly interpreting legacy code and artefacts to uncover rules, dependencies, and system behaviour.
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Automated requirements generation converts legacy applications into clear documentation and specifications to guide modernisation. 
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Rapid prototyping and application design enable teams to quickly visualise and validate new solutions before development begins. 
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Continuous code improvement and optimisation by leveraging AI to enhance code quality, maintainability, and long-term system health. 
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AI agents that transform workflows and experiences automate tasks and orchestrate processes across modernised systems. 
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+25% project forecast accuracy and+75% savings on modernisation projects, putting legacy replacement within reach. 

Case Studies

AI cuts legacy modernisation analysis and design by ~75%

A leading reinsurer turned to AI to evaluate the ability and efficiency of translating its legacy Quote and Apply system codebase into OutSystems.
6
days
to complete
1
developer
from the PhoenixDX team
Read the full case study
AI cuts legacy modernisation analysis and design by ~75%

AI-powered POC migrates legacy forms in hours, not days

Public sector agency leverages AI to rapidly and reliably migrate vital forms from a sunsetted platform.
1
week
to develop resuable model
1.5
professionals
from the PhoenixDX team
Read the full case study
AI-powered POC migrates legacy forms in hours, not days

Smart hire management app modernises industrial equipment operations

A purpose-built application replaces legacy systems with a modern, unified platform, combining the best of existing functionality with powerful new capabilities to streamline operations from end-to-end. 
12
months
to replace core legacy system
4
developers
from the PhoenixDX team
Read the full case study
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Auction group harnesses AI to modernise legacy AS/400 systems

The company replaced legacy with a new, AI-powered foundation, enabling it to rapidly deploy line of business applications including an AI agent that streamlines and supports a key quality assurance process.
90%
reduction
in human review
$
savings
from Q&A solution
Watch the video
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Telco adopts an AI-powered approach to migrate legacy and build new apps

The company’s AI-enabled smart warehouse solution has led to 88% in warehouse operations efficiencies and about $300,000 cost savings in software license and equipment.
4
months
to deliver the 1st app
5
developers
from OutSystems
Read the full case study
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Why legacy modernisation is so challenging

Modernising legacy systems is one of the most complex initiatives organisations undertake. These systems often sit at the heart of operations, supporting critical processes and holding decades of business logic. If you find that poor documentation, tight integration with other systems, and evolving business requirements make modernisation difficult, you are not alone.
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Limited understanding of legacy systems makes it difficult to know how applications work and which business rules must be preserved. 
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Deeply interconnected architectures create risk because changes to one system can unexpectedly impact many others. 
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Poor or outdated documentation forces teams to rely on institutional knowledge that may already be lost. 
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High cost and long timelines often result from traditional approaches that require extensive manual analysis and redevelopment.
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Operational risk during transformation arises because legacy systems supporting mission-critical processes cannot afford disruption. 
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Unclear future-state requirements make it difficult to decide what to retain, redesign, or retire during modernisation.

Ready to fast-track your legacy modernisation project with AI?

Let’s Talk
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Why take a platform approach to AI-powered modernisation?

The way AI is applied across the legacy modernisation journey makes all the difference. A platform approach provides a coordinated, strategic foundation where AI capabilities, development tools, security controls, and governance frameworks work together, allowing organisations to modernise legacy systems faster, safely, and at enterprise scale. 

Learn more about the OutSystems AI-powered platform
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A coordinated modernisation strategy ensures AI tools, development processes, and system transformations are unified within a single, well-governed program.
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Unified architecture and development tools prevent the chaos of multiple disconnected AI solutions while ensuring consistency and maintainability. 

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AI embedded across the entire software development lifecycle enables organisations to analyse legacy systems, generate requirements, design solutions, and accelerate development with speed and accuracy.
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Scalable AI capabilities and reusable components allow organisations to modernise systems incrementally while building a sustainable foundation for future innovation.
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Built-in governance and guardrails help manage security, compliance, and responsible AI usage across every stage of modernisation. 
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Enterprise-grade security and compliance protect sensitive data and systems while meeting regulatory requirements. 

Resources

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Article

Legacy modernisation: from black box to blueprint

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Article

How AI is changing the rules of legacy modernisation

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Article

Unlocking the hidden value of legacy systems in the AI age

Ready to supercharge your legacy modernisation projects?

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