AI & Agents

Salesforce and SAP have adopted opposing AI strategies: Salesforce's Headless 360 enables direct API access for AI agents, whereas SAP's new policy restricts it, forcing integrations through its proprietary Joule system. This divergence creates significant architectural and licensing challenges for companies using both platforms.

Current AI agent tooling is in a 'DOS phase,' where managing multiple agents is complex and lacks a unified orchestration layer. The future will bring a 'Windows phase' with visual interfaces, parallel visibility, and standardized behaviors, enabling scalable, enterprise-ready multi-agent workflows.

This guide decodes the seven essential AI agent building blocks—Prompt, Skill, RAG, Memory, API, MCP, and Tokens—for B2B decision-makers. It explains how these architectural choices determine an agent's effectiveness and provides a framework for evaluating agent projects beyond vendor hype.