Why enterprise AI projects fail at the “last mile”
AGI has been achieved!* Now your ABAP-Native AI can reach enterprise data where it lives.Hello! 
It’s Alice again, and I’ve spent the last 1.5 years building what I wish had existed when I started my AI journey: a complete LLM orchestration framework that lives entirely within SAP.
TL;DR:
GitHub: oisee/zllm (releasing incrementally – link in first comment)
Problem: Enterprise AI projects die in “integration hell” between proof-of-concept and production
Solution: Native ABAP AI orchestration – no Python, no APIs, no middleware
Result: Build production AI workflows in hours, not months
Remember my previous posts?
ZVDB brought vector search to ABAP
PREDICTOKEN eliminated expensive tokenizer calls
The OData-MCP bridge connected 15,000+ enterprise services to AI
Why enterprise AI projects fail at the “last mile”AGI has been achieved!* Now your ABAP-Native AI can reach enterprise data where it lives.Hello! It’s Alice again, and I’ve spent the last 1.5 years building what I wish had existed when I started my AI journey: a complete LLM orchestration framework that lives entirely within SAP. TL;DR:GitHub: oisee/zllm (releasing incrementally – link in first comment)Problem: Enterprise AI projects die in “integration hell” between proof-of-concept and productionSolution: Native ABAP AI orchestration – no Python, no APIs, no middlewareResult: Build production AI workflows in hours, not months Remember my previous posts? ZVDB brought vector search to ABAP PREDICTOKEN eliminated expensive tokenizer calls The OData-MCP bridge connected 15,000+ enterprise services to AI Read More Technology Blog Posts by Members articles
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