Work areas

MCP End-to-End AI Enablement

MCP End-to-End AI Enablement involves the full-cycle integration of AI capabilities into an organization’s Managed Cloud Platform (MCP), from strategy and design to deployment and continuous optimization. This empowers businesses to unlock the full value of AI across digital infrastructure, operations, and customer experience. Koruteq specializes in delivering complete AI enablement within cloud-managed environments, ensuring systems are scalable, secure, intelligent, and adaptive. Whether starting your AI journey or scaling existing models, we provide a structured, future-proof approach that aligns AI with core business functions.

We combine expertise in cloud infrastructure, data engineering, AI/ML, and DevOps to build AI-ready foundations and deploy models in real-world environments. Using platforms like AWS, Azure, Google Cloud, and AI services such as OpenAI, Vertex AI, and SageMaker, we deliver intelligent workflows, predictive systems, and automated decision-making at scale.

• AI readiness assessment & roadmap development
• Cloud-native AI infrastructure setup
• Data pipeline design, cleaning, and preparation
• MLOps (model monitoring, versioning, and CI/CD)
• Integration with enterprise platforms (ERP, CRM, IoT, etc.)