Governance for Agentic AI

Description

Agentic AI now decides and acts inside live customer interactions, approving a refund, denying a claim, escalating a complaint, or promising a remedy the company must honor. The accountability and control architecture most enterprises rely on was built to review human work after the fact, and it cannot monitor a decision an AI agent makes in milliseconds. The gap between what the technology can do and what the enterprise can govern is where liability now sits.

That liability has an owner. Across nearly every major regulatory regime, the duty to operate an AI system lawfully falls on the organization that deploys it, not the vendor that built the model. Enterprises are moving faster than they are governing: 41% of the 1,198 organizations in Frost & Sullivan's 2026 global survey remain at proof of concept, and only 16% run agentic AI across multiple use cases. Controls are far easier to design into a handful of pilots than to retrofit across a scaled estate.

This study maps the governance gap and shows how to close it. It sets out five governance principles on which divergent regulations are converging, a maturity model to benchmark the current state, and profiles of nine CX platform vendors, showing how they govern the agent layer.

Product Code: PLB5-76

Strategic Imperatives

Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8TM
The Impact of the Top 3 Strategic Imperatives on the Agentic AI Governance Industry

Growth Opportunity Analysis

Customer Trends and Expectations in the Agentic CX Era
The Role of Trust and Accountability in Agentic CX
Governance as a Driver of Customer Value
Governance Growth Drivers
Governance Growth Restraints

Insights from Frost & Sullivan Voice of Customer Survey

High Interest on Front-End Agentic AI, Including Orchestration
Most Enterprises Are Still Piloting Agentic AI
The Center of Gravity Moves from Pilot to Production
Productivity, Quality, and CX Lead the Expected Benefits of Agentic AI
Outcome-Based Pricing Leads Buyer Preference
Business Value Decides the Commercial Model

Infusing Governance into CX

Five Pillars for Governing at the Decision Layer
The Core Pillars of Agentic CX Governance

Complexity in Agentic CX

Governing the Handoff
The Blended Human-and-AI Workforce and the Governance Mandate

From Maturity to Accountability

The Agentic CX Governance Maturity Model
Accountability: The Duty Rests with the Deployer
The Cost of Inaction

Fragmenting Rules, Converging Principles

Fragmenting Rules, Converging Principles

Recommendations

What Good Looks Like

Recommendations for Enterprise Buyers

Recommendations for CX Solution Vendors

CX Solutions: Vendor Profiles

Amazon Web Services (Amazon Connect)
Cisco
Cyara

NiCE

Salesforce
Sprinklr
Verint
Zoom

Appendix & Next Steps

Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
Legal Disclaimer