Work areas

MCP End to End AI Enablement
MCP End-to-End AI Enablement refers to 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 process empowers businesses to unlock the full value of AI across their digital infrastructure, operations, and customer experience.
At Koruteq, we specialize in delivering complete AI enablement within cloud managed environments, ensuring your systems are not only scalable and secure but also intelligent and adaptive. Whether you’re just beginning your AI journey or looking to scale existing models, we offer a structured, future-proof approach that aligns AI capabilities with your core business functions.
We combine our deep expertise in cloud infrastructure, data engineering, AI/ML, and DevOps to help you build AI-ready foundations and deploy models into 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.)


