Definition
The practical work of integrating AI agents and models into existing enterprise systems — configuration, data plumbing, process change, and adoption — often bottlenecked by technical debt and professional-services capacity.
Key Points
- Thesis of june-ai: AI increases FDE/SI demand unless tooling digests legacy complexity
- Related to forward-deployed-engineering boom (e.g. Microsoft Frontier Company)
- Touches enterprise-ai-reliability and enterprise-ai-context-infrastructure
Related
- june-ai
- enterprise-ai-implementation-bottleneck
- forward-deployed-engineering
- enterprise-ai-reliability
- enterprise-ai-context-infrastructure
- salesforce
- databricks