
Generative
AI & LLM
Whether the goal is to automate knowledge work, enhance decision-making, or embed intelligent assistants into existing systems, generative AI on Microsoft Azure enables organisations to unlock new value from data. Using Azure OpenAI Service and Azure Cognitive Services, solutions support real business scenarios, from internal productivity to customer-facing applications.
Each implementation is tailored to organisational needs, with a strong focus on data readiness, governance, and security, enabling enterprise-grade LLM solutions to integrate reliably into daily operations.
generative AI & LLM
Enterprise-Ready
Generative AI
LLM Integration
Integration of large language models into existing systems, applications, and workflows to automate tasks, support users with contextual information, and enhance decision-making without disrupting current operations.
Enterprise AI Assistants
Design and deployment of AI assistants supporting employees and customers in daily tasks, while maintaining transparency, controllability, and alignment with internal processes and policies.
Retrieval- Augmented Generation
Implementation of RAG solutions that connect LLMs with internal data sources, enabling accurate, up-to-date responses grounded in enterprise knowledge rather than generic model outputs.
Agentic AI & Autonomous Workflows
Implementation of AI agents capable of executing tasks, supporting decisions, and orchestrating multi-step processes across systems beyond simple prompt-based interactions.
.webp)

