AI Adoption — and How to Fix It
Nowadays, AI is a real business growth driver that can become your decisive benefit to win a market competition. However, could you believe that almost 80% of AI initiatives fail? And the top reason is quite obvious — outdated software, not ready for high loads and adoption of modern technologies. Even if your obsolete system is still running, they weren’t created with built-in AI capabilities. Many companies address this challenge through legacy software modernization. So how to bridge the gap between your AI expectations and real system potential? Keep reading to find out.
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5 Common Legacy Constraints
Andrew Lychuk, Corsac Technologies CTO, outlines the following legacy pitfalls that can cause significant problems on your way to AI adoption:
- Obsolete software is always backed by rigid monolithic architecture. All the components are tightly coupled and connected by numerous unexpected dependencies. The core logic is messy, so any update is risky and can lead to a system crash. Moreover, even minor changes can’t be deployed independently — you should rewrite the entire system without chance to test it in a safe environment. Such hardcoded architecture has no place for AI models — you need to divide it in separate modules first.
- Outdated tech stack like .NET Framework, PHP 5, or Python 2 limits are inflexible and inefficient. The leveraged libraries, integrations, databases, security models, etc are not compatible with AI.
- AI models are based on real-time communication and event monitoring. For example, when the customer creates a new order or update profile, AI models catch this action immediately, notify the system, process new info, and provide the result. This continuous data exchange is powered by modern APIs. Their integration into legacy systems is almost impossible or too expensive.
- No automation. Deployment on legacy platforms depends on manual testing that increases risk of errors. To make sure that AI behaviour is appropriate, we need automated scripts, pipeline, and validation, as well as A/B testing and rollback capabilities. In other cases, such deployment will be insecure, poorly tested, and can cause instability of the entire system.
- Obsolete software is usually limited by inability to apply asynchronous operations. It means that you can’t deliver new features or even minor changes without disrupting the ongoing operations. You should stop the entire system, so timeouts and unexpected errors are inevitable. As we mentioned previously, AI implementation requires thorough testing. So without a modern AI-ready platform you’ll have to stop the entire workflow for a long time and with no guarantees that the desired results will be achieved.
What should you do to implement AI?
Ihor Omelianchuk, the Co-founder of Corsac Technologies, believes that successful outcomes are impossible without an in-depth legacy audit. Our experts offer comprehensive root-cause analysis to assess code and databases, outline security bottlenecks, detect unexpected dependencies and other reasons for tech stagnation. You’ll get a real picture of your system AI-readiness and clear steps of what should be improved. Based on the results, you should implement changes starting from the system architecture to renovations of testing and ongoing support methods. Take care of security vulnerabilities and other factors that can affect your compliance level. With updated platforms, you’ll be enabled to integrate AI incrementally, with minimized risks for overall system stability.
To sum up, AI integration can be a winning solution for your business if conducted after end-to-end system upgrade. Corsac Technologies is a reliable software modernization partner that takes care not just of surface-level changes. We ensure deep business transformation powered by tech innovations. Our core priority is to keep all the processes aligned with your core business logic and without significant disruption of your important operations. Since 2007, we’ve already helped 100+ clients enhance their businesses with reliable, up-to-date, AI-backed software. Reach out to discuss your project details and let the next success stories be yours!
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