A 2026 industry audit has revealed a tough reality: nearly 70% of enterprise AI pilot projects never make it beyond the testing stage. But the problem usually isn’t the AI itself. Experts believe that the real issue is old, outdated technology systems.
Experts in the industry noted that connecting powerful Large Language Models (LLMs) to aging ERP or CRM systems is like attaching a jet engine to a wooden boat. Most companies’ data systems were never designed to handle real-time AI processing.
Because of this, many Indian IT firms are now shifting to a platform-first strategy. While major players like TCS and Infosys rely on broad platforms such as ignio or Topaz, the smarter shift is toward modular, industry-specific solutions that focus on speed instead of building everything from scratch.
Appinventiv’s OTT Accelerator, a cloud-based framework designed to handle the complex demands of global video streaming claims that instead of spending months building basic infrastructure, companies can use its modular tools to manage heavy tasks like video transcoding and AI-powered content filtering through ready-to-use SDKs. This allows media companies to skip foundational coding work and focus directly on improving their product and user experience.
Appinventiv claims to have helped modernise the digital systems of KFC and Pizza Hut under the Americana Group. By connecting outdated point-of-sale systems with modern mobile platforms, the company claims to have helped boost mobile conversions by 22%. It also enabled the brands to secure more than 50% of their total orders through their own digital channels, reducing dependence on third-party apps that charge high commissions.
What makes this architectural shift notable is that its impact is not limited to consumer-facing industries. The same modular and conversational AI foundations are increasingly being applied in more regulated, high-stakes environments, where accuracy, context retention, and system reliability matter far more than speed alone. Healthcare, in particular, has emerged as a proving ground for how scalable AI systems perform under real operational pressure.
Dr. Morepen Laboratories tackled customer support challenges by launching a custom Agentic AI bot. Instead of traditional, menu-based systems, they introduced a conversational AI layer powered by LangChain and ChromaDB.
Overall, the industry is now moving toward multi-agent AI systems, where different specialized AI agents work together to handle complex tasks. This approach is quickly gaining momentum across India’s digital engineering landscape, as companies look for practical, scalable ways to make AI work in the real world.
