An AI QA layer for Agentforce Observability gaps
Salesforce Agentforce Observability helps teams see agent telemetry. Oversai helps CX teams decide whether AI agent conversations were accurate, safe, compliant, and worth escalating.
- Review Agentforce risk patterns
- See AI QA scorecards
- Map signals to QA workflows
Native observability shows the agent. Oversai reviews the outcome.
Agentforce Observability is useful for Salesforce-native monitoring. Oversai is built for the operating question that follows: should this AI conversation pass QA, trigger review, update coaching, or surface a customer experience risk?
Independent AI Agent QA
Oversai gives QA and CX leaders a second line of defense for Agentforce conversations, with scorecards and risk review workflows that do not stop at platform telemetry.
Human + AI Quality in One View
Monitor Agentforce handoffs, human agent follow-up, escalation quality, sentiment, and customer outcomes in the same operating model.
Risk Signals Built for CX
Flag hallucination risk, policy misses, compliance issues, unresolved intent, customer frustration, and brand safety gaps before they become repeated incidents.
Operational Routing
Route high-risk conversations to QA analysts, supervisors, and operations leaders instead of leaving findings buried in diagnostic dashboards.
Agentforce Observability vs. Oversai
Use the native Salesforce layer when you need Agentforce diagnostics. Use Oversai when you need QA, risk review, VoC, and customer impact workflows.
| Feature | Agentforce Observability | Oversai |
|---|---|---|
| Primary Fit | Native observability for Agentforce deployments | AI agent QA and CX observability across Agentforce, human agents, and other channels |
| Quality Review | Telemetry, traces, analytics, and health signals | Scorecards, hallucination review, compliance checks, and reviewer workflows |
| Coverage Model | Agentforce-focused session and agent monitoring | Up to 100% review coverage across AI and human customer interactions |
| Risk Detection | Operational visibility into agent sessions and behavior | Wrong-answer risk, policy gaps, escalation quality, sentiment, and brand safety |
| Operational Workflow | Salesforce-native diagnostics for Agentforce builders and admins | QA queues, coaching signals, VoC insights, and exception routing for CX teams |
| Best For | Teams standardizing fully inside the Salesforce agent stack | Teams that need independent AI agent governance plus customer experience quality |
What teams use Oversai for
Oversai turns AI observability into QA decisions, coaching priorities, product feedback, and customer risk alerts.
Review Agentforce answers against approved knowledge and policy
Prioritize AI conversations with negative sentiment or unresolved intent
Audit escalations from Agentforce to human agents
Compare AI-agent and human-agent quality in one dashboard
Track recurring gaps by topic, queue, product, and channel
Turn observability signals into coaching and workflow fixes
Add QA judgment to Agentforce visibility
If Agentforce Observability tells you what happened inside the agent, Oversai helps your CX team decide what to review, coach, escalate, and fix.
Related pages
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Open pageFrequently Asked Questions
Answers to common questions about switching to Oversai.
Oversai is a strong Agentforce Observability alternative for CX teams that need AI agent QA, hallucination detection, compliance review, escalation quality monitoring, customer sentiment, and reviewer workflows beyond native platform diagnostics.
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