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About

Business

Engagement models

Core Automation Services

Consulting & Engineering

Free AI Consultation

Explore how AI and automation can transform your enterprise operations.
Book a Consultation

Services to Departments

Assess Your Enterprise Readiness for Agentic Automation

Start Free Assessment

Services to Industries

Assess Your Enterprise Readiness for Agentic Automation

Start Free Assessment

Insights

Learning

Tools

AuxiAgents™
AuxiLab
AuxiBot AI assistant for business process automation
AuxiBot™
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Automation

Governing the Agentic GBS
A Framework for AI Audit, Risk, and Accountability Across Shared Services

Governing the Agentic GBS
A Framework for AI Audit, Risk, and Accountability Across Shared Services

Discover how enterprises can govern autonomous AI agents across Global Business Services (GBS) with structured frameworks for AI audit, risk management, accountability, compliance, and responsible deployment.
Download Whitepaper
Governing-the-Agentic-GBS-Whitepaper

What’s Inside This Whitepaper

This whitepaper explores how agentic AI is transforming global business services and why traditional governance models are no longer sufficient for autonomous, decision-making systems. Learn how enterprises can establish frameworks that balance AI-driven efficiency with human oversight, transparency, security, and accountability. Discover practical approaches for auditing AI agents, managing operational and compliance risks, and building responsible Agentic GBS ecosystems.

From Automated GBS to Agentic GBS

Understand how shared services are evolving from rules-based automation and RPA to autonomous agents capable of reasoning, decision-making, and executing complex workflows.

The New Governance Challenge

Explore why autonomous AI introduces new governance requirements around decision rights, agent behavior, data access, system interactions, and human oversight.

Building an AI Audit Framework

Learn how to establish audit mechanisms for monitoring agent decisions, actions, data usage, exceptions, and performance across GBS operations.

Risk Management for Autonomous Agents

Identify operational, financial, cybersecurity, compliance, and reputational risks associated with deploying AI agents across shared services.

Accountability and Human Oversight

Discover frameworks for defining ownership, approval thresholds, escalation mechanisms, and human-in-the-loop controls for agent-driven decisions.

Responsible AI Across GBS Operations

Explore practical approaches for ensuring transparency, explainability, fairness, privacy, and responsible AI behavior across enterprise workflows.

Securing Agentic GBS Ecosystems

Examine strategies for controlling agent permissions, protecting sensitive enterprise data, managing tool access, and preventing unauthorized actions.

The Future of Governed Agentic GBS

Explore emerging governance models for multi-agent environments, continuous AI auditing, agent-to-agent interactions, and enterprise-wide accountability.

High-Impact Use Cases

01

AI Governance for Finance Operations

Establish controls for autonomous agents supporting accounts payable, accounts receivable, financial close, reconciliation, and other finance workflows.
Read in Whitepaper
02

Risk-Aware Customer Service Operations

Govern AI agents handling customer interactions by defining escalation rules, monitoring decisions, and ensuring appropriate human intervention.
Read in Whitepaper
03

Controlled Procurement and Supply Chain Agents

Apply governance frameworks to agents making recommendations or executing activities across procurement, sourcing, supplier management, and supply chain operations.
Read in Whitepaper
04

AI Audit and Compliance Monitoring

Use intelligent monitoring to continuously evaluate agent behavior, identify policy violations, document decisions, and support regulatory compliance.
Read in Whitepaper
05

Human-in-the-Loop Decision Management

Define where autonomous agents can act independently and where human approval is required for sensitive, high-value, or high-risk business decisions.
Read in Whitepaper
06

Agentic GBS Risk & Control Frameworks

Build structured controls around data access, model behavior, agent permissions, exception handling, audit trails, and accountability across shared services.
Read in Whitepaper

Actionable Insights in Every Chapter

Each chapter delivers practical governance frameworks, audit approaches, risk-control strategies, and real-world examples for deploying agentic AI responsibly across global business services. Learn how organizations can move beyond simply automating processes to creating controlled, auditable, and accountable AI-powered operating models.
Download Whitepaper

Who Should Read This?

This whitepaper is designed for technology, transformation, GBS, risk, compliance, and business leaders responsible for governing AI adoption across shared services. It provides practical guidance on AI audit, operational risk, accountability, security, and responsible deployment for organizations introducing autonomous agents into enterprise workflows.
Download Whitepaper

GBS and Shared Services leaders governing AI-driven operations

CTOs and CIOs responsible for enterprise AI governance and transformation

AI & ML leaders designing controlled autonomous agent ecosystems

Risk, Compliance, Internal Audit, and Data Governance professionals

Digital transformation and automation leaders scaling Agentic AI

Ready to Govern Agentic AI Across Your GBS?

Download the whitepaper to explore how structured AI governance, continuous auditing, risk controls, and clear accountability can help your organization scale autonomous agents across Global Business Services—while maintaining transparency, security, compliance, and human oversight.

Fill the form to receive the Whitepaper

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