This discovery framework is designed to help facilitate a collaborative conversation regarding Salesforce Shield. By exploring these operational scenarios, Retirement Plan Administrators can accurately assess internal workflows and identify how specific Salesforce Shield capabilities can support their unique regulatory and administrative needs, starting with areas of highest impact to institutional trust and data security.
How do you validate your data security posture to institutional plan sponsors during competitive bid processes?
Scenario A: Lost Revenue Opportunities
"We lose multi-million dollar institutional accounts because our RFP responses regarding data security lack concrete, systemic encryption controls."
Scenario B: Tedious Audit Responses
"We pass security reviews, but it takes weeks of manual documentation by IT to prove our participant data is adequately protected during the sales cycle."
What mechanisms provide executive visibility into potential data misuse as you scale operations across multiple regional sites?
Scenario A: Blind Spots in Operational Expansion
"We recently opened three new processing centers, and I cannot verify if staff at those locations are exporting massive participant lists, leaving us vulnerable to severe regulatory fines."
Scenario B: Reactive Security Reviews
"Our IT team reviews access logs quarterly, but this retroactive approach leaves us blind to internal data threats for months at a time."
How do you trace historical changes to critical participant records to satisfy ERISA and SOC 2 audit requirements?
Scenario A: Failed Compliance Audits
"When regulators ask for a seven-year history of changes to a participant's vesting status, we spend days digging through backups and often cannot provide a complete trail."
Scenario B: Fragmented Audit Trails
"We use standard history tracking, but it drops off after 18 months, forcing us to rely on clunky external archives for older compliance requests."
How is the organization mitigating the risk of employees entering sensitive data like Social Security Numbers into unsecured text fields?
Scenario A: Unstructured Data Exposure
"Call center agents frequently paste full participant SSNs into standard case comments, creating massive unencrypted data exposure blind spots."
Scenario B: Manual Database Scrubbing
"We rely on annual employee training to prevent manual PII entry, but occasional human error still requires our database team to perform manual cleanups."
How are you currently tracking anomalous data extraction by internal users accessing high volumes of participant records?
Scenario A: Undetected Data Exfiltration
"We have no way to know if a plan administrator suddenly downloads a report containing thousands of participant financial profiles until it is too late."
Scenario B: Limited Context on Access Logs
"We get monthly reports of login locations, but we lack detailed insights into exactly what records users are interacting with during their sessions."
What technical compromises currently exist between encrypting sensitive plan data and maintaining search functionality for administrative staff?
Scenario A: Broken System Functionality
"We tried encrypting participant profiles externally, but it broke our internal search tools, severely delaying how quickly agents can assist callers."
Scenario B: High Technical Debt
"We rely on complex custom code to decrypt data just in time for searches, which creates heavy technical debt and slows down system performance."
How do you verify who authorized and executed changes to institutional fee structures or plan eligibility rules?
Scenario A: Untraceable Configuration Changes
"We discovered a discrepancy in a plan sponsor's administrative fees, and we have no verifiable record of who altered the rate in the system six months ago."
Scenario B: Manual Documentation Risks
"We mandate that all fee changes are documented in an external spreadsheet, but ensuring that the external log matches the actual system state is tedious."
How are you diagnosing API limits and slow page load times that disrupt the workflow of your plan administrators?
Scenario A: Unresolved System Lag
"Administrators complain daily about system lag during peak enrollment periods, but our IT team lacks the diagnostic data to pinpoint the root cause."
Scenario B: Vague Uptime Monitoring
"We monitor overall system uptime, but we have limited visibility into which specific integrations or custom components are consuming our API allocations."
How do you ensure your participant service representatives are only accessing the specific financial data required to resolve a support inquiry?
Scenario A: Over-Privileged Access
"Once an agent opens a participant profile, they have unrestricted visibility into the individual's entire financial history and balance details, regardless of the case context."
Scenario B: Untraceable Navigation Paths
"We restrict data visibility through standard permissions, but we cannot track the specific click paths agents take when navigating complex participant accounts."
What is your framework for continuously updating data governance policies when new regulatory reporting fields are introduced?
Scenario A: Slow Compliance Adaptation
"Every time federal regulations require us to collect a new piece of participant data, it takes months to manually ensure the new fields are properly encrypted and audited."
Scenario B: Decentralized Policy Tracking
"We use standard platform tools to secure new fields, but our legal team lacks a centralized dashboard to verify that all compliance rules are actively applied."
