Hi Trailblazers,
Agentforce has many powerful features, but every technology comes with some limitations.
For those working on real projects, what challenges have you faced with agent response time, action timeouts, subagent selection, or response accuracy?
Are there any limitations that we should seriously consider before implementing Agentforce for enterprise customers?
Would love to hear your practical experiences.
#Agentforce #SalesforceAI #SalesforceArchitect
1 Antwort
Hi @Galla Rajeswari Agentforce is powerful, but there are some challenges we need to consider in real projects.
- Response Time: Complex requests can take longer to process.
- Action Timeouts: Apex, Flow, or API actions may fail if they exceed time limits.
- Subagent Selection: Sometimes the agent may choose the wrong subagent.
- Response Accuracy: Even with correct data, the agent may give incorrect or incomplete answers.
- Data Access: Permissions and sharing settings can affect agent responses.
- Testing: Testing different user questions and scenarios is not always easy.
- Cost: Usage costs can increase with frequent agent interactions.
In my view, clear instructions, proper testing, and monitoring are very important before production deployment.
Agentforce is useful, but we should not depend on AI alone for critical business decisions.
