GPTfy Glossary
Agentic AI
AI systems that autonomously pursue goals using tool calls and multi-step reasoning — distinct from generative AI (which produces content) or predictive AI.
Agentic AI is the umbrella term for AI that *does* rather than just *answers*. While generative AI produces text, images, or code in response to a prompt, agentic AI takes a goal and executes a sequence of actions to achieve it — calling APIs, querying databases, making decisions, and updating systems.
The shift from generative to agentic is the defining trend in enterprise AI for 2025-2026. Salesforce's Agentforce, Microsoft's Copilot Agents, and open frameworks like LangGraph all represent this transition. The technical building blocks include LLMs for reasoning, tool-calling APIs for action, and orchestration frameworks for multi-step planning.
For Salesforce teams: agentic AI is what makes "the AI that closes the ticket" possible, vs. "the AI that drafts a reply for a human to send." The trade-off is governance — autonomous action requires stricter guardrails, audit trails, and PII masking than generative use cases.
See Agentic AI in GPTfy
Book a 30-minute demo with a GPTfy engineer to see how this works in a Salesforce org like yours.
Book a demo