Operating on legacy systems severely limited the client’s scalability, automation, and delivery speed.
A monolithic architecture restricted scalability and rapid deployment, while fragmented SQL systems struggled with complex data relationships.
This lack of modern infrastructure resulted in limited real-time visibility into license status and compliance risks, making potential issues difficult to detect and address early.
Manual, time-consuming workflows added further inefficiency, so the goal was to build a scalable, automated platform that could handle increasing data complexity reliably.
Prudent stepped in as a transformation partner to engineer a cloud-native SaaS platform powered by AI/ML.
We delivered the program in three phases, beginning with an assessment of existing systems, identifying key bottlenecks, and defining a clear, phased modernization strategy.
In the second phase, we developed a microservices-based architecture, introduced AI-powered automation, and transformed the data platform to handle complex relationships at scale with ease.
The client chose Prudent because we combined deep SaaS engineering knowledge with advanced AI/ML expertise. Our solution features AI-powered document processing with OCR achieving 95%+ accuracy, along with a workflow automation engine offering business rules and SLA monitoring.
Furthermore, we built a secure multi-tenant architecture with strict tenant isolation, and added an LLM-powered chatbot that provides 24/7 user assistance.
The final phase deployed the scalable platform with real-time analytics dashboards, predictive insights, and enterprise-grade integrations, giving teams full visibility into operational KPIs.
Most manufacturers have already run pilots. Fewer have built what comes after it. An AI-powered manufacturing SOC proof of concept is designed to answer one question: can the model detect real threats in our environment? It’s a narrow test – one production line, one asset class, a data set scoped
Manufacturing cybersecurity leaders are asking the same question in different words: who should actually run OT security operations day to day? Some plants build a dedicated OT security team from the ground up. Others extend the existing IT SOC to cover operational technology. A growing number of hand OT monitoring
Manufacturing ransomware incidents are up more than 50% year over year – and roughly 1 in 4 of those attacks are severe enough to force a full plant shutdown. The trend keeps getting worse, and it traces back to the same four gaps almost every time. If you worked through
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