The rise of AI agents and why orchestration matters
AI agent adoption accelerates and drives real impact
Familiarity with AI agents is widespread, and conviction in their importance is strong. Leaders increasingly view agents as a necessary capability for orchestrating work at scale.
AI agent maturity landscape
are familiar with AI agents (digital workers)
agree AI agents will be essential to staying competitive
strongly agree AI agents will be essential to staying competitive
Progressing from experiment to core capability
More than half of organizations are already beyond early exporation with AI agents. Exploration and piloting remain common, but momentum is clearly moving toward deployment and embedding.
Where organizations stand on AI
Exploring or researching
Piloting
Deploying at scale
Fully embedded
57% are now beyond the exploration and research stage with AI agents.
AI adoption is accelerating, and coordination is the next opportunity
AI agents are delivering clear operational and customer-facing benefits. Their ability to move work through structured workflows and support employees in real time is transforming how teams operate.
John Finch VP, Product Marketing, RingCX (AI Customer Engagement), RingCentral
Organizations deploying or testing AI agents report
increased productivity
experienced faster workflows
improved customer experience
reduced operating costs
improved customer satisfaction
Early impact is clear. The next challenge is extending it across systems and teams.
The barrier is fragmentation, not intent
As AI agents take on more responsibility, organizations encounter a shared constraint: fragmented systems. Data, workflows, and decision logic often remain distributed across disconnected tools and platforms. That limits agents’ ability to pass along crucial context and reduces the system-level impact many organizations expect as adoption grows.
Top barriers to broader AI agent adoption
cite data integration issues as a barrier to broader AI agent adoption (among those using AI agents)
cite effectiveness or ROI uncertainty as a hesitation about AI agents (among all respondents)