Salesforce is letting customers crowdsource its AI roadmap
TL;DR
Salesforce crowdsources its AI product roadmap from customers. It assumes one enterprise customer's problem likely affects others too.
What changed
Salesforce now crowdsources its AI roadmap by letting customers propose and prioritize features. The strategy rests on the idea that one enterprise customer's issue probably affects many others. This marks a shift to customer-led planning over internal decisions.
Why it matters
Enterprises get AI tools that solve their actual problems faster through direct input. Developers building on Salesforce platforms see roadmaps aligned with real needs. Basic users benefit from features shaped by collective enterprise demands.
What to watch for
New AI features announced from customer votes and feedback. Changes in Salesforce product velocity and customer satisfaction scores. Similar crowdsourcing moves by other enterprise AI providers.
Who this matters for
- Basic Users: Prioritize your specific workflow bottlenecks in Salesforce feedback channels to influence upcoming AI automation features.
Harsh’s take
Salesforce is finally admitting that its internal product teams are disconnected from the actual pain points of enterprise users. By crowdsourcing the roadmap, they are essentially outsourcing their R&D strategy to the people paying the bills. This shift confirms that Salesforce is struggling to find a coherent AI value proposition beyond generic chatbot wrappers.
They are betting that collective customer complaints will reveal a viable product path, but this approach often leads to bloated software that tries to solve everything for everyone. For the ecosystem, this signals a period of instability. If you are building on top of Salesforce, expect frequent shifts in core functionality as they pivot to satisfy vocal enterprise clients.
Do not build features that rely on stable Salesforce AI primitives, as these will likely be cannibalized or altered based on the latest round of customer feedback.
by Harsh Desai
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