Our first Agentic Process Automation deployment reduced manual effort by more than 80%, giving recruiters more time to focus on candidates while establishing the governance and confidence to scale AI across the enterprise.

Bhavna Ghosalkar,
Executive Director - Client Relations, People & Culture, Global University Systems

81%

less manual effort

72.6

minutes saved/candidate

From a Single Hiring Fix to an Enterprise Model for Governed AI

Rather than automate a single HR task, GUS established its first governed Agentic Process Automation framework, creating a scalable model for intelligent enterprise operations.

The Challenge

Manual pre-BGV document validation
Recruiter capacity-capped hiring speed
Candidate delays and inconsistencies
No enterprise agentic automation framework

The Solution

Centralized AI governance framework
Agentic document understanding
Intelligent discrepancy detection
Automated candidate communications
Human-in-the-loop approvals

The Result

81% less manual effort
72.6 minutes saved/candidate
Better candidate experience
Blueprint to scale AI enterprise-wide

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Products used

Agentic Process Automation System
Document Automation
Automation Co-Pilot
Automation 360

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How GUS Turned One Use Case into an Enterprise AI Foundation

Global University Systems viewed pre-background verification as more than an HR process. It became the organization's first opportunity to operationalize Agentic Process Automation. Working with Automation Anywhere, GUS deployed intelligent document understanding, discrepancy detection, workflow orchestration, automated candidate communications, and human-in-the-loop decision-making. Manual effort fell from 90 minutes to 17.4 minutes per candidate, an 81% reduction, while improving recruiter productivity and candidate experience. Just as importantly, the initiative established the governance, internal capabilities, and scalable framework to expand APA across talent acquisition and future enterprise operations.

Scaling Agentic AI Across Enterprise Operations

Building on its successful first APA deployment, GUS is expanding intelligent automation across talent acquisition, onboarding, and additional enterprise workflows, creating a governed foundation for AI-powered operations at scale.

Manual effort reduced by 81% through intelligent document validation and workflow automation.

72.6 minutes saved per candidate through agentic orchestration and human-in-the-loop review.

GUS established a governed automation foundation designed to scale AI across enterprise operations.

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Global University Systems Turns a Hiring Fix Into an Enterprise AI Blueprint for Growth