AI legacy system modernization
Upgrade outdated legacy systems and future-proof your business infrastructure.
Why modernize with AI?
One of the most serious obstacles to digital transformation is the reliance on outdated legacy systems. Legacy systems include technology that is no longer supported, scalable, or secure.
Lots of organizations continue to rely on obsolete technology that lacks a reliable support system and is unable to satisfy organizational needs. Many organizations still cling to these aging technologies, with the misguided belief that they are adequate. Others fear that modernization is too risky or costly. But in the age of AI, holding onto legacy systems means missing out on transformative potential.
AI-powered modernization isn't just about updating software — it's about revolutionizing how your systems think, learn, and operate. With smart, adaptive tools legacy system modernization becomes all the more efficient.
Challenges of legacy in the AI era:
- Lost business opportunities and halted innovation.
- Expensive maintenance and support.
- Incompatible with new technologies.
- Regulation violations cause fines.
- Increased security risk.
- Lack of organizational efficiency and agility.
Benefits of AI-powered modernization:
- Improved technological relevance.
- Improved business environment.
- Gain competitive advantage.
- Improved reliability and performance.
- Enriched customer/employee experiences.
- Futureproofing.
- Realize growth potential.
- Integrating work systems.
Legacy modernization services we offer
Tizbi has worked with numerous SMEs and large enterprises to enable them to close the gap between their legacy systems and modern systems.
Decommissioning and replacing of legacy systems
Outdated systems can be a liability, slowing down operations and increasing costs. We help businesses transition from legacy software to modern, scalable solutions with minimal disruption.
Upgrading or giving new life to legacy systems can suffice
Sometimes, a complete replacement isn’t necessary. We modernize existing systems by integrating new technologies, improving performance, and ensuring compatibility with evolving business needs.
Modernizing legacy systems with Tizbi: cost-effective and efficient through AI, SOA, APIs, and Middleware.
We help organizations choose the best path that fits their business and user needs, whether it involves a total or partial upgrade, customization, maintenance, or support.
Legacy system
modernization methods
Legacy system modernization can affect several different facets of technology, including, applications/software, languages, database, technical architecture, platforms, systems, presentation layers, functionality, and so on.
Whether the legacy system modernization affects one or more facets, different methods can be used to realize digital transformation goals.
Revolutionary method
The method seeks to replace a legacy system by reverse-engineering the current system and reconstituting it into modern architecture. The old legacy system is shut down, and a new system is built from the ground up.
Evolutionary method
The method involves adding a new technology layer to conceal the legacy system. The evolutionary method is not disruptive in nature but rather acts as a workaround to solve current problems.
Hybrid method
It’s possible to start with the evolutionary method for immediate value gains and slowly build-up to a completely reconstituted modern system.
Approaches to AI-enabled legacy system modernization
Modernizing with AI can significantly improve and accelerate the modernization process. Depending on different legacy system modernization considerations, various approaches can be utilized to achieve digital transformation.
Migration and enhancement
This typically involves re-hosting or using cloud solutions to modernize or enhance legacy systems without changing the current business logic and architecture. AI enhancements include automated data mapping, smart UX personalization, or AI-assisted testing.
Correction and growth
This approach assumes that the current system is relatively modern and merely requires updates and optimizations. No significant changes in business logic are made. AI tools can enhance performance, automate repetitive tasks, and provide deep analytics.
Total transformation
This approach draws from the revolutionary method of legacy modernization and involves reengineering the logic of the system. The legacy system is used as the basis, while new technologies like Artificial Intelligence are used to make significant workflow improvements.
Essential steps to successful system modernization
Bearing in mind the different legacy system modernization strategies, and the fact that all businesses require a personal touch, here are the essential steps we take to ensure successful legacy system modernization:
Assess the current technological state of your business
We do technology analysis, architecture audit, code review, UI/UX review, performance/functionality testing, ongoing requirements assessment, future growth assessment, and more.
Discuss the options and select the best approach that will maximize value
Based on the assessment of your current state, we help you choose an approach that best suits your needs, whether it means using a suitable SaaS solution, customizing, or building from scratch.
Prioritize for simplicity and the fastest delivery of value
When modernizing legacy systems, we believe that less is more relative to both functionality and architecture. We prioritize and implement critical features while still ensuring that they can work well by default and keeping in mind your future requirements.
Pick a suitable technology stack to deliver optimal user experience and performance
We help you choose a technology stack that is optimal for your product specifics, including reliability, performance, and efficiency (e.g., automation). We also steep our entire approach in reliable quality assurance and testing to deliver high-quality results.
Look ahead by scheduling the support and retirement of legacy system
Whether you choose to replace entirely or to upgrade your legacy systems incrementally, we help you to plan for both the short-term and the long-term. When you are ready, we will help you take the next seamless step in navigating your digital transformation journey. In the meantime, we’ll support your legacy system. Support can include documentation, training, and system updates.
Why choose Tizbi for legacy system modernization?
Customized modernization strategies
Whether you need a full system replacement or an upgrade, Tizbi tailors solutions to fit your unique business needs, ensuring minimal disruption and maximum efficiency.
Seamless integration and scalability
We specialize in integrating legacy systems with modern technologies, enabling smooth transitions that enhance performance, security, and future scalability.
Proven expertise and reliability
With a strong track record of successful projects across industries, our experienced developers provide reliable, cutting-edge solutions to keep your business competitive.
Tizbi works hands-on with businesses and enterprises, understanding what technological solutions truly deliver results. As your trusted partners in digital transformation, our developers bring the latest innovations like artificial intelligence and more to strengthen your company’s technological arsenal.
Years of experience
Team members
Completed projects
Frequently asked questions
Legacy system modernization refers to the process of updating or replacing outdated software or hardware systems with more contemporary technology solutions to meet current business needs.
It’s the process of updating outdated systems by integrating artificial intelligence and modern infrastructure to improve automation, performance, and decision-making.
Legacy systems often lack support, scalability, security, and integration capabilities required for modern business operations. Upgrading or replacing them ensures better performance, efficiency, and competitiveness.
AI unlocks real-time data insights, intelligent automation, and operational agility—capabilities legacy systems lack.
Challenges may include compatibility issues, data migration complexities, stakeholder resistance, budget constraints, and ensuring minimal disruption to ongoing operations during the transition.
Common approaches include rehosting (lifting and shifting to a modern environment), re-platforming (migrating to a new platform), rewriting (completely rebuilding the system), and replacing (adopting a commercial off-the-shelf solution).
Signs include frequent system failures, difficulties in integrating with modern applications, high maintenance costs, inability to scale, security vulnerabilities, and limitations in meeting evolving business requirements.
Benefits may include improved performance, enhanced security, greater agility, increased scalability, better integration capabilities, reduced maintenance costs, and support for innovation.
Data migration is crucial for preserving valuable information stored in the legacy system and ensuring a smooth transition to the new system. It involves extracting, transforming, and loading data into the new environment while maintaining its integrity and consistency.
Prioritization factors may include business criticality, level of technical debt, impact on operations, alignment with strategic objectives, potential for cost savings, and readiness for modernization.
Examples include the modernization of government systems, banking platforms, healthcare records systems, and enterprise resource planning (ERP) solutions, resulting in improved efficiency, agility, and customer satisfaction.
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