• As agent adoption hits critical mass, 96% of IT leaders say AI agent success depends on integration across systems IT leaders are turning to API-driven architectures to connect multi-agents and prevent fragmented infrastructure and shadow AI from stalling innovation The transition to anAgentic Enterprise, where humans and AI agents work together, is gaining momentum as organizations currently use an average of 12 agents, with the number projected to climb 67% within two years. • Already, 83% of organizations report that most or all teams and functions have adopted AI agents.* However, IT leaders face looming orchestration and governance challenges: 50% of agents currently operate in isolated silos versus part of a multi-agent system, resulting in disconnected workflows, redundant automations, and the potential risk ofshadow AI. • To address these issues, the research - based on a survey of 1,050 enterprise IT leaders - also uncovered that respondents are turning to API-driven architectures as a unified foundation to connect, orchestrate, and governmulti-agentsand drive AI success. • Key Findings from Salesforce’s 11th Annual Connectivity Benchmark Report: The Road to Multi-Agents As adoption hits critical mass,AI agentsare no longer experimental - they are becoming the primary driver of enterprise productivity. • IT leaders are focused on using diverse agentic solutions and establishing agent communication protocols to manage their fleet of agents. • High expectations:96% of IT leaders say agents already have improved or that they expect them to improve employee experiences, and 95% believe they will free developers to focus on higher-value work.

Article Summaries:

  • Salesforce’s 11th Annual Connectivity Benchmark Report finds that enterprise AI‑agent adoption is accelerating, with the number of agents expected to rise 67 % by 2027. Ninety‑six per cent of IT leaders say success hinges on system integration, prompting a shift toward API‑driven architectures that connect, orchestrate, and govern multi‑agent fleets. Currently, 83 % of organizations have deployed agents, yet half operate in isolated silos, creating workflow gaps and shadow‑AI risks. The report highlights key hurdles-risk management, lack of internal expertise, legacy incompatibility-and notes widespread interest in agent‑communication protocols such as Agent Network Protocol and Agent‑to‑Agent Protocol.

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