AI Application Maintenance and Modernization for Faster Delivery: Insights from Hazem El Sayed

AI can write code faster than ever. But in large companies, releases still get delayed due to missing information and constant handoffs.

That’s the problem Hazem El Sayed thinks AI is going to solve. As Director of R&D at FlairsTech, he manages engineering teams working on enterprise products and modernization projects.

In his Expert Voice interview, he explains where AI-assisted software development fits into application maintenance and modernization. For him, AI isn’t an industry trend but “a real accelerator.”

FlairsTech’s Edge

So, what makes FlairsTech different? According to Hazem, it’s “the combination of engineering expertise, large-scale delivery, and AI-enabled operations.” His team covers the full spectrum, from large enterprise platforms to legacy system support.

And with AI built into their workflow, they can “move significantly faster while maintaining quality.”

How Does AI-Assisted Software Development Solve Delivery Bottlenecks?

Hazem pointed to a major shift happening today. “AI is no longer about improving individual productivity,” he noted. “The bigger challenge with enterprise applications is usually the delivery system itself.”

That system covers alignment, communication, visibility, and knowledge sharing. It also relies on clear decision-making across multiple stakeholders.

When teams lack that alignment, project information ends up scattered. You’ll find some of it documented in Jira and other ticketing systems, while the rest gets lost in meetings or never makes it into writing.

“AI helps us unify and contextualize that information,” Hazem explained, “so the team can make faster and better decisions.”

FlairsTech achieves this using AIMY, which provides product stakeholders, support operations, and modernization initiatives with one shared workspace.

“The value isn’t only faster engineers,” he pointed out. “It’s creating a smarter and more connected delivery model overall.”

DORA’s research proves this point. After polling around 5,000 tech professionals for the 2025 State of AI-Assisted Software Development Report, researchers found that AI yields the highest returns when it enhances an organization’s underlying systems.

Faster Delivery and Lower Operational Costs

“The biggest impact AI brings to FlairsTech is speed and operational efficiency,” Hazem told us. He highlighted three areas where AI-assisted software development makes the biggest difference:

• Incident resolution: Teams resolve incidents faster and categorize issues more easily, which reduces system downtime.
• Modernization: It accelerates the entire process. When it comes to updating legacy codebases, that’s where AI code modernization tools shine.
• Engineering productivity: By eliminating repetitive operational tasks, AI-powered application maintenance frees developers “to focus on high-value engineering and business challenges.”

Signs Your Business Needs an Application Maintenance and Modernization Partner

Hazem was clear about the warning signs:

• High maintenance costs: “The first sign is rising maintenance costs,” he explained. Technical debt is often the reason why you spend more on upkeep every year.
• Recurring operational issues or slow rollouts: Your release cycles drag on, and the same issues keep popping up.
• Limited growth opportunities: This happens when “your legacy system starts limiting stability, innovation, or business growth.”

“At this point, organizations usually need a strategic modernization partner rather than only operational support,” Hazem said. In such scenarios, legacy transformation becomes the next step.

Are You Working with the Right Modernization Provider?

Hazem also highlighted three signs that your platforms are in good hands with your chosen vendor:

• Proactiveness: The provider always suggests improvements and finds new AI-powered application modernization opportunities.
• Operational gains: You should see faster rollouts, better stability, and stronger SLA performance. Those numbers reflect your modernization ROI.
• A forward-thinking, AI-driven mindset: In Hazem’s words, it’s “an automation-first and AI-enabled delivery mindset focused on long-term operational efficiency.”

A Success Story

To illustrate, Hazem shared with us the story behind an engagement involving a major enterprise platform in the marketing management industry. Before our team stepped in, the client was struggling with increasing operational costs and slow release cycles.

Hazem’s team “helped stabilize the platform, improve automation coverage, and modernize critical components.” On top of that, they improved engineering workflows and relied on AI-assisted delivery to enhance visibility and speed up troubleshooting.

As a result, the client was able to roll out changes faster and reduce system instability. Just as important, FlairsTech managed this without disrupting the business.

We appreciate Hazem El Sayed taking the time to share his insights with us. The biggest takeaway from our chat? AI-assisted software development bridges the gap between the people, information, and decision-making processes behind delivery.

Are you considering AI-assisted software development for your own applications? Schedule a meeting with our experts.