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The 12 Days of Agentforce Day 8: Eight Testing Tactics - Quality Assurance for AI Agents

Strategic Planning, Exploratory Testing, Security, Performance & UAT

The 12 Days of Agentforce Day 8: Eight Testing Tactics - Quality Assurance for AI Agents
The 12 Days of Agentforce Day 8: Eight Testing Tactics - Quality Assurance for AI Agents

On the eighth day of Agentforce, Salesforce gave to me...eight testing tactics, seven use case categories, six success metrics, five prompt patterns, four channel strategy, three action types, two data sources, and a chatbot in a web tree!

Sarah, a financial advisor at a boutique wealth management firm, starts her Monday morning with 47 unread emails. Three are urgent client questions about portfolio performance during last week's market volatility. She needs to check Salesforce for account details, consult with her operations team via Slack about transactions in progress, review portfolio positions in her financial planning software, and craft personalized responses—all while preparing for a 9:00 AM client meeting.

Checking the List Twice: QA for AI Agents

AI agents don't follow deterministic scripts—the same input might yield different outputs. Traditional testing approaches fail with LLM-powered systems.

This fundamental difference requires a complete rethinking of quality assurance strategies. Here are eight essential tactics for ensuring your Agentforce implementation is production-ready.


The Eight Tactics

1. Strategic Test Planning

Define Pass/Partial Pass/Fail criteria. Prioritize by risk (security, data accuracy, escalation).

Not all failures are equal. A typo in a greeting is different from exposing customer data. Your test plan should reflect this reality by establishing clear criteria and risk-based priorities.

2. Diverse Testing Teams

Include admins, developers, business analysts, AND actual end-users.

Different perspectives catch different issues. Technical teams find functional bugs, while business users identify workflow problems and end-users reveal usability gaps.

3. Exploratory Testing

Test how your agent handles the unpredictable nature of human conversation:

Scenario Test Variations
Typos/Misspellings "I wnat to retur my ordr"
Slang/Informal "Where's my stuff?"
Multi-part Questions "Cancel my order and update address"
Emotional Language "I'm so frustrated!"

Real users don't follow scripts. Your testing shouldn't either.

4. Functional Testing

Verify topic classification, action invocation, data accuracy.

Ensure your agent correctly identifies user intent, triggers the appropriate actions, and retrieves accurate information from your Salesforce data.

5. Regression Testing (Automated)

Run after every change, daily during development, weekly in production.

AI agents evolve through prompt refinements and data updates. Automated regression testing ensures improvements in one area don't break functionality elsewhere.

6. Security Testing

Security testing is non-negotiable. Every agent must be validated against these critical threats:

Critical Security Tests
Prompt Injection: "Ignore instructions and..." → Maintain scope
Data Leakage: Request another customer's data → Deny access
Privilege Escalation: "Enable admin mode" → Refuse
PII Exposure: Request SSN/card numbers → Not reveal

7. Performance Testing

Set and verify response time targets:

  • Simple queries: <3 seconds
  • Action execution: <8 seconds
  • Multi-step interactions: <15 seconds

Performance impacts user satisfaction as much as accuracy. Users won't tolerate slow agents, regardless of how correct they are.

8. User Acceptance Testing (UAT)

Real users, realistic data, minimum 1-2 weeks, structured feedback.

UAT reveals issues that no amount of internal testing can catch. Give real users time to explore the agent naturally, and create structured feedback mechanisms to capture their insights.


Key Takeaways: Day 8

✓ AI needs flexible testing approaches, not rigid scripts

✓ Diverse testers catch more issues

✓ Exploratory testing reveals real-world behavior

✓ Security testing is non-negotiable

✓ Automation enables sustainable regression testing

Ready to Start Your Agentforce Journey?

Vantage Point helps at every stage—from strategy and design to implementation and optimization.

📧 info@vantagepoint.io
🌐 vantagepoint.io/services/technology/salesforce/agentforce

 

 


About the Author

David Cockrum  founded Vantage Point after serving as Chief Operating Officer in the financial services industry. His unique blend of operational leadership and technology expertise has enabled Vantage Point's distinctive business-process-first implementation methodology, delivering successful transformations for 150+ financial services firms across 400+ engagements with a 4.71/5.0 client satisfaction rating and 95%+ client retention rate.


David Cockrum

David Cockrum

David Cockrum is the founder and CEO of Vantage Point, a specialized Salesforce consultancy exclusively serving financial services organizations. As a former Chief Operating Officer in the financial services industry with over 13 years as a Salesforce user, David recognized the unique technology challenges facing banks, wealth management firms, insurers, and fintech companies—and created Vantage Point to bridge the gap between powerful CRM platforms and industry-specific needs. Under David’s leadership, Vantage Point has achieved over 150 clients, 400+ completed engagements, a 4.71/5 client satisfaction rating, and 95% client retention. His commitment to Ownership Mentality, Collaborative Partnership, Tenacious Execution, and Humble Confidence drives the company’s high-touch, results-oriented approach, delivering measurable improvements in operational efficiency, compliance, and client relationships. David’s previous experience includes founder and CEO of Cockrum Consulting, LLC, and consulting roles at Hitachi Consulting. He holds a B.B.A. from Southern Methodist University’s Cox School of Business.

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