Experian and ServiceNow Automate Lending Workflows with Agentic AI

Experian and ServiceNow partner to launch the Agent Operating System, integrating secure, data-driven agentic AI into regulated enterprise lending workflows.
Image Credit / The Fintech Times

Experian and ServiceNow launch the Agent Operating System to bring governed, real-time agentic AI and credit risk automation to lending workflows.

The deployment of Artificial Intelligence (AI) in financial services is undergoing a structural shift from experimental chatbots to autonomous systems capable of executing high-stakes tasks. Addressing the data fragmentation and compliance barriers that have historically stalled enterprise AI deployments, global data intelligence leader Experian has unveiled its new Agent Operating System.

Announced and documented by The Fintech Times, alongside a multi-year global partnership with enterprise software provider ServiceNow, the framework establishes a secure, regulated layer designed to natively integrate agentic AI into complex credit and lending workflows.

Overcoming the Data Barrier in Automated Lending

While financial institutions have shown significant interest in autonomous AI agents, practical scalability has consistently been hindered by data silos and poor system lineage. Industry research published alongside the launch reveals that 48% of global organizations experience substantial friction when integrating internal and external data into AI workflows. Furthermore, roughly one-third of enterprises cite fragmented data lineage and internal siloes as primary operational bottlenecks.

The Agent Operating System addresses these challenges by embedding Experian’s Ascend Platform directly into the ServiceNow AI Platform. Rather than requiring institutions to completely overhaul their legacy IT infrastructure, this architecture allows autonomous agents to safely access real-time credit data, identity insights, and decisioning analytics within familiar workflow environments.

According to FinTech Magazine, this integration shifts the focus from standalone AI models to fully embedded workflow intelligence, ensuring that agents operate with a continuous, verified data foundation.

Built for Strict Financial Compliance

Automating core financial operations requires deep alignment with stringent regulatory frameworks, particularly regarding credit risk management and fraud prevention. The system is architected around a trusted operating layer that enforces explicit compliance guardrails, data access controls, and absolute human oversight. This modular design ensures that every autonomous choice remains fully explainable and auditable, matching the tightening AI oversight standards emerging across global financial markets.

The initial rollout prioritizes high-value, heavily regulated use cases across the financial lifecycle, including:

  • Automated credit risk assessments and real-time loan approvals.

  • Advanced business fraud detection and identity verification.

  • Comprehensive third-party risk management and employee onboarding.

  • Automated model lifecycle governance and continuous portfolio monitoring.

By deploying specialized decisioning agents into core processes, lenders can transition away from slow, manual verification queues to instant, automated workflows without expanding their risk profile.

The Shifts in Enterprise Software Consumption

Beyond operational efficiency, the partnership highlights an ongoing evolution in how enterprise software is utilized and priced. As detailed by PYMNTS, the rise of external autonomous agents is altering traditional software-as-a-service (SaaS) per-seat licensing models. Because a single digital agent can trigger thousands of automated API requests without requiring an individual user license, the industry is moving toward consumption-based utility models that track actual processing volume.

To safely manage this new paradigm, the architecture leverages integration layers like ServiceNow’s Action Fabric to strictly control how external agents query sensitive core data systems. As noted by The Paypers, consumer appetite for automated services is growing quickly, with 55% of global consumers open to letting autonomous AI handle transactions on their behalf, a figure that surges to 70% among individuals aged 25 to 39.

The Agent Operating System will roll out to early adopters later this year, with plans to expand across more than 2,300 of Experian’s enterprise client solutions globally, transforming regulated lending into a faster, highly compliant digital experience.