| Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees | 4.5 | I've used Azure AI Foundry mainly for document-heavy use cases like supply chain RAG deployment, and it's boosted productivity significantly, though governance features need improvement; overall, it's stable, scalable, and easy for developers to adopt. |
| Solution Architect II – Cloud Infrastructure Services (Microsoft Hyperscaler AI) at UST Global | 4.0 | I've found Azure AI Foundry simplifies building secure, traceable AI solutions with minimal coding, though documentation can be unclear. It integrates well with Microsoft tools, supports our client goals, and enhances our Azure Consumed Revenue objectives. |
| Senior Director, Data Orchestration Ai & Helix Practice Advisor at Connection | 3.5 | I've mainly used Azure AI Foundry to integrate AI models via APIs into our apps, which has improved efficiency, though prompt testing tools are lacking; overall, it's useful but still early stages for our broader adoption. |
| AI Practice Director at a consultancy with 201-500 employees | 4.0 | I've found Azure AI Foundry excellent for deploying and evaluating language models, though support is poor and capacity can be a challenge. Its model catalog and enterprise integration are strong, and it delivers measurable ROI for my clients. |
| Azure Cloud Architect at a manufacturing company with 10,001+ employees | 3.5 | I've used Azure AI Foundry mainly for document translation and comparison, finding Document Intelligence valuable but deployment across regions complex. It's stable and scalable, though the UI is cumbersome and support through our provider feels nonexistent. |
| Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees | 4.5 | I've used Azure AI Foundry for two years to build AI models and agents, appreciating its scalability, model management, and console. Despite pricing complexities, support has improved, and overall it's a stable, effective platform for our needs. |
| Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees | 3.5 | I've used Azure AI Foundry mainly for proofs of concept like summarization and knowledge retrieval; while features like the playground are helpful, integration and usability challenges limit full adoption, especially within strict enterprise environments. |
| Manager, Data Science at a outsourcing company with 10,001+ employees | 4.0 | I've used Azure AI Foundry for 2–3 years to deploy custom agents, appreciating its speed and flexibility, though updates are slow. Despite some downtime, support is decent, and it’s more cost-effective than hiring additional staff. |
