Centric Consulting speeds up application modernization by up to 80% with AI-Augmented Development, introducing a modern framework that combines agentic AI and expert human oversight to transform outdated legacy systems more rapidly, efficiently and cost-effectively than traditional approaches.
A New AI-Driven Approach to Legacy Modernization
In the digital era, many enterprises struggle with aging software often referred to as “spaghetti code” that is complex, poorly documented, and hard to update. Centric Consulting’s AI-Augmented Development Services are designed to address these challenges by blending advanced AI tools with seasoned technical consultants to modernize applications from end to end.
Rather than simply generating code without context, Centric’s proprietary framework performs deep code analysis, extracts requirements, redesigns systems using modern architectures, generates new code and automated tests, and then has human engineers validate and refine the output. This hybrid strategy minimizes risk, improves accuracy and accelerates delivery.
Tangible Results: Faster Timelines, Lower Costs, Higher Productivity
Clients engaging with Centric’s modernization framework have experienced dramatic outcomes:
- Up to 80% faster modernization timelines, dramatically shortening lengthy legacy rewrite cycles.
- 30–50% cost savings compared to conventional modernization efforts.
- 10–20× productivity gains through automation in analysis, development and testing phases.
These results reflect a significant shift in how organizations can update core systems moving from slow, manual efforts to accelerated, AI-driven modernization.
Overcoming Common Modernization Barriers
Legacy systems aren’t just technically outdated, they often suffer from missing documentation, compliance gaps, security vulnerabilities and loss of institutional knowledge when original developers depart. Centric’s combined AI and human method helps overcome these barriers by:
- Extracting hidden requirements and behaviors directly from existing code and execution patterns.
- Building modern architecture that aligns with current standards.
- Ensuring human experts validate business logic, compliance and security context.
By doing so, the process reduces guesswork and ensures modernization delivers real business value without jeopardizing system integrity.
Beyond Modernization: A Broader AI Services Portfolio
While accelerated application modernization remains a central offering, Centric also provides a suite of enterprise AI services to help organizations scale AI responsibly across their operations. These include:
- AI Agent Development: Custom agents that autonomously execute complex workflows with significant workload reduction while preserving human control at key decision points.
- Enterprise AI Strategy & Governance: Comprehensive frameworks and Centers of Excellence to govern AI initiatives.
- Microsoft Copilot and Azure AI Integration: As a Microsoft Managed Partner with top designations, Centric assists clients with Microsoft Copilot deployment and Azure AI optimizations.
This broad platform supports modernization not only of legacy systems but also of the overall enterprise technology landscape, enabling more intelligent, automated and scalable operations.
Why This Matters for Digital Transformation
Legacy application modernization has long been one of the most resource-intensive and risk-prone parts of digital transformation. Organizations frequently delay or abandon modernization due to concerns over cost, risk and project duration. Centric’s AI-augmented approach changes this equation by reducing barriers and delivering outcomes that are both faster and more economical.
As more businesses navigate hybrid cloud, distributed architectures and rapid market change, the ability to modernize core systems quickly becomes a competitive advantage enabling improved performance, enhanced security, and better integration with modern platforms and SaaS ecosystems.
Looking Ahead: Adoption and Evolution
With early client results showing strong benefits, AI-augmented modernization is poised to become a standard part of enterprise IT strategy. Organizations that leverage these services can expect not only quicker modernization but also improved agility for future development cycles, simplified maintenance, and a foundation for subsequent digital innovation.
As AI technologies continue to evolve, combining machine capabilities with human expertise will likely become the blueprint for complex modernization enabling enterprises to decommission legacy systems with confidence and unlock new business opportunities faster than ever before.
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