Data Readiness for AI

Unified. Governed. Grounded in truth.

Make your enterprise data AI-ready with a single, trusted foundation for all workflows, models, and decisions.

AI delivers value only when the data behind it is complete, connected, and compliant. ServiceNow’s Workflow Data Fabric unifies fragmented systems into one governed data layer that fuels predictive intelligence, GenAI, and agentic workflows with live, contextual data. The result is faster insights, lower risk, and an AI foundation ready to scale across every business function.

Unify your data for AI impact

The Workflow Data Fabric connects systems of record, SaaS apps, and external data into one trusted foundation. With a unified data model and embedded Knowledge Graph, ServiceNow turns disconnected information into actionable context, so AI agents, analytics, and workflows always operate with a complete picture.

AI is only as strong as the data behind it.

Trust your data from source to insight

Data privacy, security, and compliance are built in, not added later. Sensitive Data Handling masks personal information before inference, and guardrails monitor AI activity for policy adherence. Every generated answer can be traced back to approved knowledge, creating a provable link between data, decision, and action.

Run at enterprise speed and scale

At the core of the platform, high-performance data services deliver real-time operations and analytics. Workflows run faster, AI models train on cleaner signals, and decision-makers gain instant visibility. The result is a resilient foundation that supports enterprise-grade AI performance without compromising reliability.

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The power of ready made Data

Build once, scale everywhere

A unified data foundation supports every AI use case, from predictive analytics to agentic workflows, without rework or duplication.

Accelerate time to value

Predefined data models and governance patterns help organizations achieve AI readiness in weeks and turn fragmented information into actionable insight faster.

Govern with confidence

Privacy, lineage, and compliance controls are embedded across the platform, ensuring every decision is backed by trusted, auditable data.

FAQs

Can we bring our own AI models into ServiceNow?

Yes. Generative AI Controller and AI Control Tower let you govern native or third-party LLMs—centralizing model access, routing, policies, and approvals across use cases.

How does ServiceNow reduce AI hallucinations?

With retrieval-augmented generation (RAG): AI Search/Q&A cites approved knowledge and catalogs. Grounded sources + a consistent data model = fewer hallucinations and higher trust.

How fast can we get AI-ready data with ServiceNow?

Weeks, not years. You leverage 13K+ prebuilt tables, industry data models, IntegrationHub spokes, and zero-copy connectors to stand up the first use cases quickly and expand iteratively.

How is ServiceNow Workflow Data Fabric different from a data warehouse or lake?

Warehouses analyze data at rest. ServiceNow activates data in motion—feeding workflows and AI agents directly. WDF complements your warehouse/lake (Snowflake, Databricks, BigQuery) rather than replacing them.

Is AI data secure and compliant on ServiceNow (GDPR/region)?

Yes. Sensitive Data Handling masks PII, Vault encrypts, Now Assist Guardrails enforce policy, and regional processing keeps prompts/responses in-region. Every interaction is logged for audit.

What is ServiceNow Workflow Data Fabric and how does it make data AI-ready?

ServiceNow WDF unifies live operational data across IT, HR, finance, supply chain, and customer service on one model and graph—so AI Agents and Now Assist act on trusted, contextual data in real time (not stale exports).

What performance benefits does ServiceNow deliver for AI workloads?

The RaptorDB engine powers up to 53% faster transactions and 27× faster analytics queries, helping AI agents scale without bottlenecks while workflows stay responsive.

Ready to make your data work for AI?

Book a meeting with our experts. We’ll identify gaps, activate the right governance patterns, and help you build a trusted foundation for scalable, compliant AI.

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