Regulated Agentic AI Arrives in Lending Workflows

At Money20/20 Europe, Experian unveiled its Agent Operating System (AOS), a new platform designed to enable regulated financial institutions to deploy production-grade agentic AI.

The AOS addresses common enterprise AI bottlenecks by establishing a unified layer that connects data, risk governance frameworks, and software agents across the lending cycle. Initial deployments will focus on use cases like employee onboarding, vendor risk assessments, and model compliance.

Addressing Key Challenges in Enterprise AI

Experian research highlights structural vulnerabilities hindering AI adoption:

  • Workflow integration: 48% of financial organizations struggle to integrate complex data layers into automated workflows
  • Data lineage: Roughly one-third of risk executives report poor or unverified data origins
  • Siloed infrastructure: Another third cite fragmented data across teams and systems

The AOS aims to bypass these roadblocks with a composable architecture that allows models from multiple vendors to collaborate natively within existing technology stacks.

Consumer Acceptance Drives Demand

A recent HarrisX poll indicates growing consumer comfort with AI autonomy:

  • 55% globally are willing to authorize AI agents for commercial purchases
  • This jumps to 70% among 25-39 year olds

As consumers delegate more financial actions to machines, institutions need robust auditability and governance frameworks.

Architecture Highlights

The AOS is built on five pillars:

  1. Trusted operating layer: Centralized identity verification and compliance controls
  2. Ecosystem composability: Seamless integration of multiple AI models and tools
  3. Agent-native decisioning: Autonomous workflows that proactively optimize rather than react
  4. Embedded governance: Risk management, explainability protocols, and audit trails built into every transaction
  5. Human-in-the-loop safeguards: Automated validation with routing of edge cases to human reviewers

By embedding Experian’s data intelligence within ServiceNow workflows, institutions can execute autonomous actions more efficiently while maintaining regulatory compliance.