"Garbage in, garbage out" has never been more punishing than it is in the era of autonomous AI. Your digital agents can only make smart decisions if they are grounded in highly accurate, well-structured, real-time data. If your legacy Salesforce org is plagued by duplicate contacts, orphaned accounts, inconsistent formatting, and siloed data, your AI will inevitably hallucinate.

Welcome to Session 3 of De-Fragging the Franken-Org, where we look through the Data Architecture Lens. This session is all about ensuring your underlying enterprise data layer is completely fit for AI consumption. We will move past basic validation rules and look at how to architect a modern, unified data foundation that acts as a single source of truth for both your human users and your agents.

The Core Question: Is our data fit for AI consumption?

What we’ll cover:

• The Anatomy of an AI Hallucination: How fragmented data misleads autonomous decision-making.

• Data Cleansing for AI Grounding: Transforming legacy transactional data into rich context.

• Architecting the Single Source of Truth: Designing schemas that support rapid AI retrieval.

Live Tool Deep Dive:

• Data Cloud: Ingesting and modeling legacy data to break down enterprise silos.

• Identity Resolution: Creating unified customer profiles across messy data streams.

• Data Quality Rules: Building and enforcing strict operational guardrails to prevent data decay.

Don't build a cutting-edge AI penthouse on a shaky, duplicate-ridden foundation. Join us live to get your data architecture clean, unified, and completely optimized for the Agentforce era.