Most public sector agencies rely on dashboards and metrics they can’t fully explain, leading to hours of research or eroded trust when leadership asks where a number came from. If You Can’t Explain Where Your Numbers Come From, Neither Can Your AI provides a roadmap for documenting data lineage – the path data takes from source to dashboard.

By focusing on the numbers that matter most, agencies can ensure their data is defensible today and AI-ready tomorrow.

Why Download This Guide?

• Assess Your Lineage Maturity: Evaluate your current ability to explain critical mission metrics, such as enrollment, revenue, or compliance rates.

• Avoid the “AI Crisis”: Learn why unexplainable data leads to indefensible AI outputs and how to solve this gap before launching advanced automation.

• Document Without Replatforming: Discover how to establish sufficient lineage for your most important numbers using existing systems and documented flows.

• Build Stakeholder Trust: Transition from “I’m not sure” to providing immediate, documented proof of a metric’s calculation, business rules, and technical source.

What This Resource Covers

• Lineage Documentation Template: A ready-to-use framework for capturing definitions, source systems, transformation logic, and business rules for critical metrics.

• Executive Summary on Data Defense: A high-level overview of why explainability is the prerequisite for trust in both human and machine-led decision making.

• The “Start With One Number” Strategy: A pragmatic approach to proving value by mapping one critical metric end-to-end before expanding across the enterprise.

• AI Readiness Framework: Specific guidance on building the trusted foundations needed to support mission outcomes and sustainable analytics.

An executive guide for data, IT, and security leaders that demonstrates how to build a foundation of “explainable analytics”.