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Experian and ServiceNow Partner to Scale Agentic AI with Trusted Decisioning Data

By Ali Paterson · 15 May 2026

In brief: Experian and ServiceNow have partnered to scale agentic AI by integrating Experian’s trusted decisioning data directly into ServiceNow workflows, targeting risk management and onboarding use cases.

Key facts
Primary Barrier80% of organizations cite data limitations
Core PlatformsExperian Ascend and ServiceNow AI Platform
Initial Use CasesRisk management, onboarding, and model governance
Press Release: Experian and ServiceNow Partner to Scale Agentic AI with Trusted Decisioning Data | Featured Image by FF Spotlight

Quick Summary

Experian and ServiceNow have launched a multi-year partnership to scale agentic AI by integrating Experian’s Ascend data platform directly into ServiceNow workflows. This collaboration solves the data limitations hindering 80% of organizations, allowing autonomous agents to make trusted, real-time decisions across risk management and onboarding.

How Does the Experian and ServiceNow Partnership Scale Agentic AI?

Agentic AI requires high-quality, real-time data to move beyond simple pilot programs into full-scale production. This partnership addresses the primary data barrier cited by 80% of global organizations by natively connecting the Experian Ascend Platform with the ServiceNow AI Platform. By embedding trusted decisioning insights directly into existing enterprise workflows, businesses can deploy autonomous agents that act with higher consistency and speed.

  • Native Integration: Direct connection between Ascend and ServiceNow AI Platform.
  • Workflow Automation: Intelligence is delivered where work happens, reducing friction.
  • Data Trust: Solves the "garbage in, garbage out" problem for autonomous agents.

What Use Cases Benefit from Trusted Decisioning?

The collaboration focuses on highly regulated environments where accuracy is non-negotiable. By leveraging agentic AI, companies can automate complex processes that previously required manual oversight due to data silos. The initial rollout targets critical operational areas including third-party risk management, fraud detection, and identity verification. These sectors require the automated intelligence that only a combined data and workflow powerhouse can provide.

  • Employee Onboarding: Streamlining HR processes with automated verification.
  • Risk Management: Real-time fraud and identity checks for business partners.
  • Model Governance: Managing the life cycle of AI models with transparent data.

“We see agentic AI as a fundamental change in how intelligent services are delivered, and this partnership brings together complementary strengths and a shared vision for building them the right way.” said Keith Little, President, Experian Software Solutions.

How Does This Impact Global Business Operations?

For global enterprises, the ability to automate intelligence at scale represents a significant shift in operational efficiency. By removing the need for manual data retrieval, agentic AI agents can execute tasks in a secure environment that delivers measurable outcomes. This partnership allows businesses to operate with increased confidence, knowing their AI agents are powered by world-leading analytics and decisioning platforms.

FF NEWS TAKE:

This partnership moves the needle because it tackles the "last mile" problem of agentic AI: trust. While many firms offer AI agents, few can provide the verified data backbone required for high-stakes financial and risk decisions. By embedding Experian's data into ServiceNow's ubiquitous workflow engine, the duo is effectively creating a standardized operating system for autonomous enterprise intelligence. This is a major win for regulated industries seeking scalable automation.

Frequently asked questions

How does the Experian and ServiceNow partnership improve agentic AI?

The partnership improves agentic AI by providing autonomous agents with direct access to Experian’s trusted decisioning data within ServiceNow workflows. This integration allows AI agents to make faster, more accurate decisions at scale, overcoming the data limitations that currently hinder 80% of enterprise AI deployments.

What are the first use cases for this AI partnership?

The initial use cases focus on highly regulated sectors, specifically third-party risk management, fraud and identity verification, employee onboarding, and model life cycle governance. These areas benefit from the combination of ServiceNow's workflow automation and Experian's deep data insights.

Why is trusted data important for autonomous AI agents?

Trusted data is critical because autonomous AI agents require high-quality inputs to execute tasks without human intervention. Without reliable data, AI deployments remain stuck in pilot phases. This partnership ensures agents have the 'trusted intelligence' needed to operate confidently in enterprise environments.

About the companies

Experian

Website · 123 stories and 1 video interview on FF News since 2021

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ServiceNow

Website · 21 stories and 6 video interviews on FF News since 2018

Previously on FF News:

Companies in this story: Experian, ServiceNow

People in this story: Keith Little, Cathy Mauzaize

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