FPT Software

82% of technology leaders expect their budgets to rise in 2027, with generative AI, predictive AI, and agentic AI leading investment priorities. The next phase of enterprise AI will depend on more than adoption. Organizations need trusted data, clear accountability, embedded governance, and operating models designed for people and agents to work together. FPT’s CASAN framework and FleziPT support this transition by connecting a structured path toward AI-native maturity with the capabilities needed to operationalize and govern AI at enterprise scale. 👇🏻 Explore what it takes to move from bigger AI budgets to governed enterprise autonomy. #FPT #FPTSoftware 🌏 fptsoftware.com

41% of enterprises identify integration complexity as their biggest barrier to scaling AI, putting greater pressure on organizations to modernize core systems without slowing ongoing operations. FPT addresses that challenge with AI-powered modernization capabilities such as Flezi Metis and Flezi EMT, accelerating legacy assessment, application transformation, and migration at scale. FPT AI Factory extends that foundation with inference-ready GPU infrastructure, giving enterprises the capacity to build, deploy, and run AI workloads as modernization moves from isolated projects into enterprise-wide execution. 👇🏻 Discover how FPT is modernizing the foundations for enterprise AI. #FPT #FPTSoftware 🌏 fptsoftware.com

AI does not enter a blank slate. It enters businesses shaped by different systems, regulations, workflows, skills, and levels of readiness. That is why the same technology can move quickly in one environment and stall in another. Turning AI into enterprise value depends on how well intelligence fits the business it serves. Across markets, manufacturing, agentic workflows, and joint innovation, FPT combines engineering depth, operating discipline, and co-creation to make AI dependable in real operations through CASAN and FleziPT, helping enterprises move from strategic intent to systems that can be deployed, governed, and continuously improved. 👉🏻 See what it takes to make AI work in context, and turn capability into dependable enterprise performance. #FPT #FPTSoftware 🌏 fptsoftware.com

88% of organizations use AI in at least one business function, yet only 23% have scaled it enterprise-wide. The bottleneck is increasingly context: the connected knowledge of code, systems, business rules, and dependencies that AI needs to reason, act, and scale reliably. FPT is addressing this through Flezi Metis, our Knowledge Graph-Enabled Enterprise AI Platform for software development, modernization, and agentic engineering. By turning fragmented technical and business knowledge into a continuously evolving context layer, the platform gives engineers and AI agents a shared understanding of how complex systems work and how changes ripple across them. This intelligence can accelerate modernization, strengthen agentic workflows, and provide a trusted foundation for AI-driven operations. 👇🏻 See what changes when enterprise knowledge becomes AI-readable. #FPT #FPTSoftware 🌏 fptsoftware.com

With only 20% of insurers considering themselves AI-mature, the real divide is emerging between those experimenting with AI and those embedding it into how technology is built, modernized, and scaled. Working with one of Canada’s major financial services groups, FPT modernized legacy POS and eFNA systems through an AI-driven delivery model. Through a custom AI Agent Creator System embedded across the software development life cycle, combined with cloud-native modernization, we improved quality by 200% and increased sprint velocity by 30%, strengthening both productivity and scalability. 👉🏻 Learn more: https://lnkd.in/dEQhnvWi #FPT #FPTSoftware 🌏 fptsoftware.com

The workplace safety market is projected to reach USD 30.3B by 2028, but many high-risk manufacturing environments still depend on manual surveillance that cannot keep pace with real-world complexity. For a major Taiwanese manufacturer, FPT brought AI into camera surveillance to enable real-time behavior tracking and hazard detection across multiple feeds. Built on NVIDIA RTX 4080 GPUs and the NVILA Vision Language Model, the solution reduced factory safety costs by 80% and manual monitoring effort by 70%, showing how AI can turn surveillance from a reactive safeguard into a more proactive layer of industrial operations. 👉🏻 Read more: https://lnkd.in/g3Bd6Rcv #FPT #FPTSoftware 🌍 fptsoftware.com