Salesforce Agentic Enterprise Index: Agent Deployments More Than Double Year over Year
Salesforce’s 2026 Agentic Enterprise Index reports a near-tripling of AI agent deployments year-over-year, with businesses activating agents within two days and increasing task complexity.
Salesforce’s 2026 Agentic Enterprise Index, based on aggregated AI usage data from the Agentforce platform, reveals how businesses deploy AI agents to address operational needs. The analysis, covering February 2025 to April 2026, shows two distinct deployment strategies: high-volume, task-specific approaches in consumer-facing sectors and versatile, multistep models in regulated industries like manufacturing and public services. Both models demonstrate measurable trust and return on investment, with the average number of agents per organization increasing nearly threefold over the past year.
The index introduces the Agentic Work Unit (AWU) to measure meaningful agent activity, defined as one discrete task completed by an AI agent. As of April 2026, Agentforce agents’ AWU output is growing at a 15% compound monthly rate, with consumer-facing industries leading in volume. Retail agents, for example, typically handle one to two actions per agent, focusing on routine tasks like order tracking and FAQs, while their capabilities expand during peak seasons.
Retail brands like Pandora deploy AI concierges such as Gemma to manage high-volume customer inquiries during peak periods. Gemma resolves routine requests like order status and shipping while offering personalized recommendations, handling 60% of support requests and boosting Net Promoter Score by 10%. Agents are increasingly capable, with the average number of skills per agent rising from two at the start of 2025 to six by year-end, reaching nine during peak shopping seasons.
In regulated sectors like financial services, manufacturing, and public services, agents tackle more complex tasks, including data retrieval, drafting communications, and updating records. The Sophistication Index highlights these industries as leaders in deploying advanced agent networks, with public sector and healthcare AWU output growing 227x and 19x, respectively. Siemens, for instance, uses a multi-agent workflow to qualify leads across seven business units, reducing inefficiencies in long, technical sales cycles.