The platform shifts identity administration from manual oversight to intelligent, policy-governed automation. By embedding specialized agents into existing security workflows, Anugal aims to reduce the volume of support tickets and the risk of over-privileged accounts. The Role Build Agent, for instance, parses business process documentation to draft SAP roles while automatically enforcing segregation-of-duties checks. For end-users, the User Access Search Agent facilitates natural language requests, steering employees toward appropriate roles to minimize incorrect selections.
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Anugal Deploys Agentic AI to Automate Enterprise Identity Governance
Approving a single access request takes seconds, but justifying its safety often consumes weeks of audit labor. Business Core Solutions is addressing this bottleneck with Anugal, a new platform that integrates agentic AI into identity governance to automate risk-aware decisions across SAP environments and enterprise workflows.

Beyond initial provisioning, the software targets the long-standing challenge of access certification. By aggregating entitlement data, usage history, and risk context, the system allows managers to make evidence-based decisions when reviewing dormant or conflicting access. The platform also extends these governance principles to non-human identities, a growing necessity as enterprises integrate more AI agents into their infrastructure. Through the Anugal Co-Pilot and integration with Microsoft Teams, the company aims to embed these audit trails directly into daily communication channels, ensuring that governance remains a continuous process rather than a periodic administrative burden.
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