Pune, Jan 08: Onix, a global leader in cloud, data, and AI-driven solutions, today announced the release of its 2026 AI Trends Report. The report identifies a definitive shift in the corporate landscape: enterprises have moved beyond experimental “copilots” toward autonomous, agent-driven execution across core business functions.
The report highlights that 2025 served as a tipping point, with organizations successfully embedding AI across platforms and upskilling teams for a new era of human–AI collaboration. As an example, a Gartner report forecasts that 80% of customer service issues will be handled entirely by AI agents autonomously, without human intervention, by 2029. This transition is powered by multi-agent systems that coordinate complex workflows across sales, finance, and customer success, setting the stage for self-optimizing operations and prescriptive decision intelligence.
“In 2025, enterprises gained invaluable insight into how AI transforms business strategy,” said Niraj Kumar, CTO of Onix. “As we enter 2026, the opportunity lies in building intelligent ecosystems that anticipate business needs and turn predictive insights into strategic action. Enterprises that combine technological foresight with robust governance and talent development will not only enhance efficiency but also redefine their competitive advantage.”
Key Trends Shaping Enterprise AI in 2026:
- Agentic AI as the Operational Baseline: AI has evolved from a passive assistant to an active executor. Minimal human input is now required for routine processes, making autonomous agents the default for enterprise scale and speed.
- Signals of Coordinated Intelligence: Data from the past year suggests a fundamental change in how intelligence flows. Organizations are moving toward “orchestrated autonomy,” where AI systems communicate across departments to solve cross-functional bottlenecks.
- From Static Automation to Intelligent Orchestration: Traditional, rigid workflows are being replaced by dynamic systems that adapt in real time to shifting data environments and market demands.
- The High-Value Human Shift: By automating high-volume tasks, enterprises are enabling human agents to focus on complex problem-solving and high-touch relationship management.
