Overview
Our Salesforce Audit-Ready Random Sampling Engine is a reusable accelerator for organizations that perform compliance reviews, regulatory testing, quality audits, or internal controls validation. The solution provides a fair and defensible method of selecting records using custom Apex development, a Fisher-Yates shuffle algorithm, and Salesforce cryptographic random number generation. The result is a repeatable sampling process where every eligible record has an equal opportunity to be selected.
Business Problem
Organizations often need to randomly select employees, transactions, accounts, cases, or other records for compliance testing. Many sampling approaches rely on custom formulas or basic randomization techniques that can introduce unintended bias and create questions around the validity of the sample.
The challenge was to create a Salesforce-based sampling engine that provides mathematically fair record selection while giving compliance, audit, and leadership teams confidence in the integrity of the process.
How It Works
The accelerator uses custom Apex logic to randomize eligible Salesforce records using a Fisher-Yates shuffle algorithm. Random values are generated using Salesforce's Crypto.getRandomInteger() method to ensure every possible record ordering is equally likely.
The solution:
Identifies the eligible record population.
Randomizes records using a Fisher-Yates shuffle.
Uses Salesforce cryptographic random number generation.
Produces an unbiased sample for compliance and audit activities.
Where This Fits
This accelerator is applicable to organizations that perform:
- Compliance testing
- Regulatory audits
- Internal controls reviews
- Quality assurance programs
- Risk management assessments
- Random participant, employee, or transaction selection
The solution can be adapted to virtually any Salesforce object where a fair, repeatable, and auditable sampling process is required.