𝗔ft𝗲𝗿 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟮 𝘆𝗲𝗮𝗿𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜, 𝘄𝗲’𝘃𝗲 𝗰𝗼𝗺𝗲 𝘁𝗼 𝗼𝗻𝗲 𝗰𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻: 

The AI industry is optimizing for the wrong metric. 

Everyone is asking: “How smart is the model?” 

Enterprise teams should be asking: “𝗖𝗮𝗻 𝗜 𝘁𝗿𝘂𝘀𝘁 𝘁𝗵𝗶𝘀 𝗔𝗜 𝘁𝗼 𝗲𝘅𝗲𝗰𝘂𝘁𝗲 𝗺𝘆 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀?” 

The hardest part isn’t getting an agent to answer a question. 

It’s getting it to reliably complete an end-to-end workflow. 

Take a customer refund. In production, the agent has to do more than understand intent: 

✅ Validate the request against business policies 

✅ Decide what can be auto-approved vs escalated 

✅ Pause execution while waiting for human approval 

✅ Resume from the exact same state later (not restart) 

✅ Update the right CRM records 

✅ Produce an audit trail for every decision 

None of that is a prompting problem. It’s an 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. 

𝗪𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗹𝗼𝗰𝗸𝗲𝗿 𝘆𝗼𝘂’𝘃𝗲 𝗳𝗮𝗰𝗲𝗱 𝘄𝗵𝗲𝗻 𝘁𝗿𝘆𝗶𝗻𝗴 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗶𝗻 𝘁𝗵𝗲 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲? 

#EnterpriseArchitect #Enterprise Architecture #AIAgents #AI #Salesforce #Salesforce Developer #CRM #CRM Configuration