i've building for clients on Salesforce for 10+ years.
early adopter of agentforce.
offering an empirical re-framing of AI in the enterpriseJoined February 2026
@Ric_RTP this guy also wants to boost AI adoption by any means necessary.
he directly benefits from it.
especially in the enterprise cuz you can force ppl to use his tech. no lay-offs = large user count = more chips plz.
mehmet is spot-on. quality of data is key. this year, i think we start to see more "data clean-up agents" to make CRM data more palatable for both humans and LLMs.
Agentforce has closed 29,000 deals and hit $800M ARR – but is real adoption matching the hype? The Salesforce community weighs in on usage, ROI, data quality, and what still needs work.
Sasha Semjonova explores what’s happening beneath the headlines.
bit.ly/3OWReVD
in @agentforce , context is critical. even w/ simple topics (manage oppty). if llm doesn’t know the context (biz rules, industry, field definitions, etc,) then 9/10 it will fail to properly get the action done.
so may people miss this when building.
think about non-chat triggered agentic workflows
agents that evaluate and improve data quality for better down-stream usage.
replace traditional page layouts with an agentic UI that contextualizes CRM data to reps.
don't expect reps to open the chat. you gotta feed them.
this companies are everywhere:
~$10b rev.
5k sales users
long time @salesforce customer. multiple clouds. big projects. but, value is starting to diminish.
reps are saying Sf is useless. admins spend all day fixing bugs. no innovation.
where can @agentforce help?
@sunnydalelow susannah, in my experience ALL of the prompting isn't - and shouldn't be - a "dev thing".
our analysts / requirement gatherers are our best prompt writers because they understand the business process much deeper than a dev would.
@SalesforceDevs worth going IMO.
i think a lot of traditional SF devs are getting more comfortable agentforce and can more effectively communicate their experience with the tool.
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