AI data integrity

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AI is moving rapidly into decisions, processes and autonomous workflows. The confidence you have in the AI starts with the integrity of the data behind it.

Experian helps you understand whether your data is ready for AI, improve what needs attention, and continuously govern, trace and monitor it as AI scales.

AI ambition is accelerating. Data readiness is holding it back.

40% of IT respondents cite insufficient quality data as the top barrier to successful AI adoption — Gartner. And 30% of decision-makers say they don't act on insights because they don't trust the source data — Forrester.

The challenge grows as AI moves into production. Data changes. Models and agents evolve. New sources and unstructured content enter workflows. Dependencies stretch across systems.

Organisations need confidence that the data behind AI is fit for its purpose today and remains trusted as things change.

Build AI on data you can trust and prove it.

Experian embeds data quality and governance into workflows through Aperture Data Studio, helping organisations improve and trust the data that powers AI. For more complex environments, Solidatus adds automated, visual end-to-end lineage and traceability.

Together, these capabilities help organisations:

govern data, models and agents
trace data from source to outcome
continuously monitor quality and controls.

From AI readiness to continuous trust

1. Prepare: Know where you stand

Start with an AI Data Readiness Assessment. Experian evaluates the data for a specific AI use case across four dimensions: reliable, relevant, safe and representative. We identify strengths, gaps and risks, and provide practical recommendations on what to address first.

2. Connect: Build the trusted foundation

Use Aperture Data Studio to profile, validate, cleanse, standardise, match and enrich data, creating more accurate and connected inputs for AI.

3. Manage: Understand what AI depends on

Connect data, models and agents to their purpose, owners, policies and approvals, while tracing where data came from, how it changed and where it is used. Solidatus adds granular technical lineage and blast radius analysis where required.

4. Activate: Keep trust intact

Continuously monitor quality, controls, understand the impact of change, and retain the lineage and governance evidence needed to demonstrate how AI is operating.

Know your data is ready. Keep it ready. Prove it when it matters.

Book a demo

Get in touch to find out how your data is ready for AI

Speak to our team about assessing readiness, tracing data and putting the right controls in place for responsible AI.

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