How to Run Compliance QA for AI and Human Agents in One Salesforce Workflow
Compliance can’t be treated as a separate process when AI and human agents operate in the same system. Without a unified QA approach across every interaction, risk is missed, standards drift, and gaps appear exactly where compliance matters most.
Compliance has never been optional. But many contact centers still manage it through disconnected processes: separate reviews, separate tools, and separate standards.
That approach was already inefficient. As AI becomes part of the customer journey, it becomes a genuine risk.
Because compliance no longer applies only to human agents. It applies to AI agents, human agents, and the handoffs between them.
Why Traditional Compliance QA Falls Short
Most compliance programs were built for a world where humans handled every interaction. They rely heavily on manual reviews and sampled interactions, often assessing just 1%-5% of customer conversations.
That creates blind spots.
AI can deliver regulated information, trigger workflows, make decisions that affect customers, and handle sensitive situations at scale. If a compliance issue exists in the process, it can be repeated hundreds or thousands of times before it's discovered.
At the same time, many organizations evaluate AI and human interactions separately, using different criteria and workflows.
The result is inconsistent standards, fragmented accountability, and gaps in visibility.
Customers, however, don't experience separate systems. They experience one journey.
Your compliance process should reflect that reality.
What Unified Compliance QA Looks Like
A modern approach brings AI and human compliance reviews into a single workflow inside Salesforce.
Rather than maintaining separate processes, organizations can evaluate interactions against one set of standards, using one system of record and one process for follow-up action.
That means compliance teams can assess the full customer experience—from the initial interaction through to resolution—without losing context along the way.
What Should You Evaluate?
Unified compliance QA should cover several key areas:
Policy Adherence
Did the interaction follow the rules and procedures required by your organization and industry regulations?
Response Accuracy
Was the information provided to the customer correct, complete, and aligned with approved guidance?
Required Disclosures
Were mandatory statements included, and was inappropriate or restricted language avoided?
Decisions and Actions
Did the system trigger the right workflows, update records correctly, and take appropriate actions based on the situation?
Handoffs
When interactions moved between AI and human agents, was the necessary context preserved? Did any compliance risks emerge during the transition?
Why Sampling Isn't Enough
Compliance risk doesn't distribute itself evenly across interactions. It often hides in exceptions, edge cases, and unusual scenarios.
When organizations review only a small percentage of interactions, they aren't measuring compliance comprehensively—they're hoping to catch problems by chance.
That challenge becomes even greater with AI. A single compliance flaw can quickly scale across thousands of customer interactions before it's identified.
From Detection to Action
Effective compliance QA isn't just about spotting issues after the fact. It's about responding quickly when risk appears.
When compliance workflows live inside Salesforce, organizations can trigger alerts for high-risk interactions, route cases for escalation, assign targeted coaching, and maintain complete audit trails tied directly to customer records.
Compliance becomes part of day-to-day operations rather than a separate exercise performed weeks later.
The Bottom Line
Compliance doesn't stop with the person—or system—responding to the customer.
It spans the entire interaction: AI agents, human agents, and the transitions between them.
If those experiences are evaluated separately, your view of compliance will always be incomplete.
A unified approach inside Salesforce allows organizations to apply one standard across every interaction, identify risk earlier, and take action faster.
Because customers experience a single journey.
Your compliance process should too.
📚 References
McKinsey & Company. (2022). The State of AI in Customer Service. Retrieved from www.mckinsey.com
Gartner. (2023). Innovation Insight: Generative AI in Customer Service. Retrieved from www.gartner.com
Forrester Research. (2023). The State of Customer Service Technology. Retrieved from www.forrester.com
Deloitte. (2023). Global Contact Center Survey. Retrieved from www.deloitte.com
IBM. (2023). Global AI Adoption Index. Retrieved from www.ibm.com
