How Experian Embeds Agentic AI into ServiceNow's Workflows

· Source: AI Magazine · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Data Science & Analytics · Depth: Intermediate, short

Summary

Experian and ServiceNow have formed a multi-year partnership to embed agentic AI into enterprise decision systems, integrating Experian's Ascend Platform directly into the ServiceNow AI Platform. This collaboration aims to enable autonomous AI agents to access trusted data and execute real-time decisions within existing business processes, addressing a primary barrier to scaling agentic AI: fragmented or unreliable data foundations. The native integration allows AI agents to operate within current enterprise environments, leveraging Experian's datasets and analytics without requiring new infrastructure or manual data transfers. Initial use cases include employee onboarding, third-party risk management, fraud and identity verification, and model lifecycle governance, with a focus on highly regulated sectors like financial services, insurance, and healthcare to ensure compliance and governance.

Key takeaway

For CTOs and VPs of Engineering in regulated industries, this partnership signals a viable path to deploying agentic AI at scale. You should evaluate how native integrations between your existing workflow platforms and trusted data sources can accelerate AI adoption, particularly for high-value processes like fraud detection or compliance, without compromising governance or requiring extensive new infrastructure.

Key insights

Integrating trusted data and workflow platforms enables scalable, secure agentic AI deployment in regulated enterprises.

Principles

Method

Experian's Ascend Platform integrates directly into ServiceNow's AI Platform, allowing autonomous agents to access data and decisioning capabilities within existing workflows for real-time execution.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, AI Engineer, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.