Knowledge Base
AI Readiness
Learn about data quality, explore best practices, and discover how to improve your Salesforce data.
Agentforce Readiness: Assessing Your Salesforce Org
Assess Agentforce readiness across data, org configuration, use cases, governance, and people. Includes a 25-point checklist and a five-level maturity model.
Read article →PII Detection
The 8 PII detection patterns DQS uses, three presets for common scanning scenarios, and how to configure pattern-based detection.
Read article →Agentforce Data Quality: Preparing Salesforce Data for AI
Improve Agentforce data quality and data readiness. A practical guide to preparing your Salesforce data for AI agents with DQS — completeness, consistency, and PII detection.
Read article →Agentforce Data Readiness Checklist
A practical Agentforce data readiness checklist. Assess whether your Salesforce data is ready for AI agents across completeness, consistency, PII, and more.
Read article →Why Agentforce Agents Give Wrong Answers: Data Quality Root Causes
Why Agentforce gives wrong answers: 6 data quality root causes behind inaccurate responses and hallucinations, the DQS metric that diagnoses each, and the fix.
Read article →Agentforce and PII: Protecting Sensitive Data Before AI Deployment
Agentforce reads PII hidden in Salesforce text fields. Learn how to find and remediate sensitive data before deployment to reduce compliance risk.
Read article →Salesforce Data Cleanup for Agentforce: Object-by-Object Guide
A field-level Salesforce data cleanup playbook for Agentforce. Which objects and fields to clean first for service and sales agents, mapped to DQS.
Read article →Agentforce Data Quality: Frequently Asked Questions
Answers to common Agentforce data quality questions: does Agentforce need clean data, what data it reads, readiness thresholds, PII risk, and how to prepare.
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