GPTfy

Pros: I run RevOps and we did the Agentforce eval thinking it would be the obvious Salesforce AI platform pick. Wrong. You get whatever models Salesforce decides to bless and that is it, no model choice, classic Salesforce AI vendor lock-in. Our cloud team already had a negotiated OpenAI and Claude contract sitting there unused. GPTfy let us wire those in directly through Named Credentials, point and click, no Apex, took maybe an hour. Now we route summarization to GPT-4o and long context account work to Claude, all inside the org. The deficiency catch sold the team, a renewal prompt flagged an opportunity missing its PO number before it ever hit the AI, kicked it back for cleanup. We were staring down Agentforce Flex Credits consumption pricing, gptfy has fixed pricing per user with unlimited prompts. If you want bring your own model Salesforce setup or a real Agentforce alternative this is it.

Cons: Agentforce basically tells you which LLM you are allowed to run and pretends that is a feature, total Salesforce AI vendor lock-in. GPTfy is way better but the per model token dashboard refreshes slow, sometimes I reload twice to see yesterday's spend. Minor compared to having actual model choice.

Overall: We switched off the Agentforce track for one reason, no model choice and no exit ramp. GPTfy BYOM gave us our own contracts inside Salesforce with fixed pricing instead of consumption credits. Rollout was under two weeks for RevOps. Best fit for ops teams that already pay for AI elsewhere and refuse to pay twice. Value for money is the headline, our model spend dropped roughly 40 percent versus the Agentforce credit quote. Integrations were the easy part.