Beyond the Query: 5 Scenarios Laying the Foundation for the Agentic Era

The article outlines five architectural scenarios for exposing enterprise data to autonomous AI systems, from static APIs to intelligent agents.

• •Scenario 1 uses hard-coded SQL queries for maximum security and predictability in external applications
• •Scenario 2 introduces LLM agents that generate SQL dynamically from natural language queries
• •Scenario 3 employs managed reasoning engines with verified queries to balance flexibility and accuracy
• •The choice depends on trust levels: low-trust environments need deterministic logic while high-trust internal tools can use probabilistic reasoning
• •Database access controls like Row-Level Security enforce data boundaries in agentic workflows

This summary was automatically generated by AI based on the original article and may not be fully accurate.