Hexaware Debuts Agentic AI Platform to Automate Enterprise IT

For years, enterprises have relied on static scripts that struggle to interpret complex system dependencies or cross-departmental data. The new platform bridges this gap by grounding automated actions in real-time observability and configuration management databases. Instead of merely accelerating task completion, the agents follow a governed loop—detecting, evaluating, and verifying actions—to ensure no change is made without clear supporting evidence and policy alignment.

The platform operates on four core pillars: evidence-backed recommendations, strict policy adherence, cross-silo reasoning, and a self-improving feedback loop. Hexaware expects this transition toward autonomous operations to yield significant performance gains. Benchmarks suggest a 25–40% improvement in mean time to resolution (MTTR) and a 35–45% reduction in manual intervention, alongside a 5–12% decrease in overall incident demand.

"We are helping enterprises move from reactive support to self-healing IT operations," noted R Srikrishna, CEO of Hexaware. The company positions this release as the first major stage in a broader journey toward fully autonomous and preventive IT infrastructure, now available to mid-to-large scale global organizations.