ChatGPT & OpenAI
Internal knowledge assistants and document intake workflows.
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Microsoft Foundry
Microsoft Foundry brings models, agents, evaluations, and monitoring into an Azure-oriented platform. It is an option for organizations that want AI development aligned with Azure identity, networking, and policy controls.
Azure · RBAC · Model evaluation · Tracing
Discuss your projectDesign around the organization’s access boundaries
Employee identity
Who is signed in?
- Role
- Team
- Environment
Application boundary
What may this workflow do?
- Authorized retrieval
- Approved tools
- Request audit
AI environment
How is execution operated?
- Model configuration
- Evaluation
- Monitoring
For an Azure-oriented organization, the application must fit existing identity, networking, and operations practices. The project begins with a map of the boundaries and owners—not a model selection alone.
Make operating responsibilities visible
| Decision | Owner to involve | Evidence |
|---|---|---|
| Information access | Data owner | Approved sources and access rules |
| Deployment boundaries | Cloud team | Environment and network design |
| Release acceptance | Business owner | Task-level evaluation results |
| Incident response | Operations | Alert and escalation procedure |
Your project, scoped around the outcome
Build with Microsoft Foundry
An identity and deployment design, evaluation plan, and operational handover.
Talk through the scopeRelated technologies
Claude & Anthropic
Document review, requirements extraction, and drafting workflows.
Explore Claude & AnthropicGoogle Gemini
Intake processes that combine document images and text.
Explore Google GeminiAmazon Bedrock
AI-enabled business workflows hosted within an AWS environment.
Explore Amazon Bedrock