Agentic Transformation Reaches New Heights: 2026 Connectivity ...

2026 Connectivity Benchmark Report: Unlocking the Agentic Enterprise with Seamless Integration

AI agents collaborating in a digital network, representing agentic enterprise connectivity

As agent adoption reaches critical mass, 96% of IT leaders emphasize that AI agent success hinges on seamless integration across systems, according to Salesforce's 11th annual 2026 Connectivity Benchmark Report.[1][2] This report, surveying 1,050 global IT leaders, reveals enterprises averaging 12 AI agents today, projected to surge 67% by 2027 as organizations transition to an "agentic enterprise" where humans and AI collaborate fluidly.[2]

The Connectivity Paradox: High Ambition, Low Integration

Disconnected digital systems forming silos, illustrating integration challenges in IT infrastructure

Despite 88% of organizations on track for partial or full agentic transformation and 98% planning adoption, a stark disconnect persists: only 27% of the average 957 enterprise applications are connected.[1][2] Even agentic leaders connect just 32% of apps, fueling the "connectivity paradox."[1] This fragmentation breeds shadow AI, disjointed workflows, and governance risks, with half of agents operating in isolation.[2][6]

Key Stat: 82% of IT leaders cite data integration as a top AI challenge, delaying 26% of projects and consuming 36% of IT time on custom integrations.[1]

API-Driven Architectures: The Path Forward

API connections linking AI agents and enterprise systems, symbolizing unified integration

To combat silos, 94% of leaders advocate API-centric IT architectures as the connective tissue for multi-agent systems.[2] Already, one-third use APIs for faster integrations, and 50% leverage them for AI governance.[2] Salesforce's MuleSoft and Agentforce innovations, including Agentforce 360 and Data 360 (Data Cloud), enable this by unifying sales, service, marketing, and more with robust data pipelines.[3][5][7]

Early adopters report transformative ROI: up to 78% faster project delivery, 32% improved forecast accuracy, and reduced errors from better data quality.[4] However, 96% face data barriers, with 40% blaming outdated architectures and silos.[2]

Overcoming Barriers: Governance, Observability, and the Agentic Roadmap

IT leaders strategizing around a digital dashboard, focusing on AI observability and governance

Success demands more than deployment—observability is key. Salesforce's MuleSoft Agent Fabric and Agentforce Observability provide control planes for monitoring agent actions, ensuring transparency in high-stakes environments.[7] Deloitte's Kurt Anderson calls this an "inflection point," urging sustainable integration strategies.[2]

  • 71% say IT infrastructure creates system dependencies.[1]
  • Enterprises risk "AI agent sprawl" without unified governance, per 4 in 5 leaders.[6]
  • Agentforce 360 integrates with MuleSoft, Slack, and Tableau for cross-cloud workflows.[3]

Download the full 2026 Connectivity Benchmark Report for strategic insights to propel your agentic journey.[1]

In the agentic era, connectivity isn't optional—it's the foundation for AI-driven innovation. Salesforce's vision positions APIs and integrated platforms as essential for scaling agents securely and efficiently.

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