Salesforce has unveiled "Headless 360," a major architectural overhaul designed to transform its platform into programmable infrastructure for AI agents by exposing all capabilities via APIs, MCP tools, and CLI commands. This initiative aims to move beyond traditional graphical user interfaces, allowing developers to build and deploy agentic workflows across various third-party environments like Slack and Microsoft Teams without needing to log into the Salesforce UI directly. By introducing specialized tooling such as "Agent Script" for deterministic control and transitioning toward a consumption-based pricing model, Salesforce is positioning itself to remain the essential substrate for enterprise AI agents in an era where traditional SaaS models face obsolescence.
SRE.ai, a Y Combinator-backed startup, has raised $7.2 million to develop AI agents that automate complex enterprise DevOps workflows, offering chat-like experiences across multiple platforms.
The article discusses the emergence of AI agents in enterprise IT, highlighting Orby's development of Large Action Models (LAMs) designed for automating complex workflows. These models, unlike traditional LLMs, process actions such as application interactions and automate tasks in enterprise environments like Salesforce and SAP. The concept of 'traces,' sequences of actions for specific tasks, is used to fine-tune LAMs, and Orby's AI agent software stack allows for customization and scaling by technical personnel.
Learn how to fine-tune large language models like Llama 3 for function calling, enabling interaction with external tools and APIs for tasks like web search and math operations.
