With 84% of CIOs believing AI will be as significant to their business as the internet, strategic implementation is a competitive necessity. But many organizations aren’t sure where to start, how to scale AI agents, or how to measure success. Organizations must align AI initiatives with business goals, ensure high-quality and integrated data sources, establish governance frameworks as agent autonomy increases, and invest in upskilling teams to foster seamless human-agent collaboration. Addressing these pillars accelerates adoption and drives sustainable AI maturity. To provide a structured path for CIOs and IT leaders, Salesforce developed the Agentic Maturity Model — a framework that outlines the key stages for AI agent progression and actionable steps for advancement. The levels of agentic maturity are: 0️⃣ Fixed Rules and Repetitive Tasks: Automation of repetitive tasks using predefined rules, with no reasoning or learning capabilities. 1️⃣ Information Retrieval Agents: Agents that assist humans by retrieving information and recommending actions. 2️⃣ Simple Orchestration, Single Domain: Agents that autonomously orchestrate low complexity tasks in a siloed data environment. 3️⃣ Complex Orchestration, Multiple Domain: Agents that autonomously orchestrate multiple workflows with harmonized data across multiple domains. 4️⃣ Multi-Agent Orchestration: Any-to-any-agent operability across disparate stacks with agent supervision. https://lnkd.in/eCq78TeG
