GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

Implement GenAIOps using Azure AI Foundry with ease and jumpstart

This demonstrates how to manage LLMs using Microsoft Azure GenAIOps. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly.

Frameworks, standards and process templates for AI governance, model risk and oversight in regulated enterprise environments. Includes operating models, RACI charts, control libraries, approval workflows and policy skeletons.

Template for building reliable, governed and cost-aware RAG pipelines for enterprise AI use cases, with optional agentic extensions. A structured framework covering ingestion, retrieval, evaluation, governance and deployment. Designed for regulated organisations.

Open Source GenAIOps 🧑‍🏫 The New Moat for Innovators in AI 🔥

Azure AI Foundry implementations for strategic forecasting, predictive modelling, and business intelligence using GenAIOps

Demonstration of GenAI and agentic workload monitoring, including cost tracking, telemetry and operational risk indicators. Covers usage modelling, observability patterns, anomaly detection and oversight mechanisms.

GenAIOps using Azure AI services

Expert-system GPT modelling the reasoning, evaluation and strategic decision-making of an AI Center-of-Excellence leader. Provides structured guidance on strategy, governance, prioritisation and AI operating models.

AI strategy, governance, GenAIOps and agentic AI resources from The Data Damsel. Professional profile, frameworks and ongoing work.