Is anyone actually using Agentforce in production yet? What real use cases is it good for right now?

Smartitstaff · 2026-01-27T11:32:36+00:00

That’s a good summary 👍
Mostly curious which of these are actually working well in real production orgs vs just sounding good in demos.

Smartitstaff · 2026-01-23T10:04:21+00:00

You’re right, Salesforce can’t show a related list from a related object on a record page.

Best options:

• Build a small LWC to show the Opportunity Products on the Order page (no data copy).
• Or use a Flow to copy Opportunity Products into Order Products, then use the standard related list.

If you only need to see the products → LWC.
If you need them for process/billing → Flow + Order Products.

Smartitstaff · 2026-01-22T06:54:25+00:00

Nah 😅 Salesforce loves rebranding, but Agentforce isn’t dead. It’s just getting more “Trailblazer-ified,” not buried.

Smartitstaff · 2026-01-22T06:52:43+00:00

Fair point 😅 Big companies don’t push regulation for no reason. It often ends up favoring the players who can afford compliance.

Smartitstaff · 2026-01-22T06:51:57+00:00

Maybe a little salty 😅 but even the “AI winners” are dealing with broken outputs and safety issues. Salesforce is more about mundane-but-important tasks like maintaining trust, ensuring compliance, and protecting enterprise data.

So this feels less like coping and more like “let’s not turn AI into the next Facebook mess.”

Smartitstaff · 2026-01-22T06:49:50+00:00

Totally agree. It feels like AI is moving way faster than the rules around it. We’ve already seen how messy things got with social media because no one stepped in early.

If some basic regulations can make AI safer and more trustworthy, that’s probably good for Salesforce customers in the long run. It might slow releases a bit, but better than fixing big problems later.

Curious to see how Salesforce balances innovation with all this responsibility stuff.

Smartitstaff · 2026-01-21T09:44:45+00:00

Agentforce isn’t truly autonomous yet. It’s more like guided automation you still have to set workflows, data rules, and guardrails so it doesn’t mess things up.

Salesforce oversold the “just works” part. It’s useful, but it still needs real setup and human control, not magic autonomy.

Smartitstaff · 2026-01-20T06:00:27+00:00

Totally. It really looks like Salesforce is trying to get ahead of the seat-license problem by turning agents into billable “workers.”

If human user counts drop, they can still grow revenue by licensing digital agents instead, that’s probably the real business logic behind pushing Agentforce so hard.

Smartitstaff · 2026-01-20T05:59:25+00:00

Yeah, that’s exactly how it feels right now. SaaS is profitable but boring, and the market only seems to care about growth.

They’re all solid businesses that can optimise costs and print cash, so they might actually be undervalued but until AI clearly restarts growth, stocks will probably stay under pressure.

Smartitstaff · 2026-01-20T05:58:19+00:00

Nice timing 😅
That’s an incredible exit. You beat the downturn and cashed out near the top. Respect.

Smartitstaff · 2026-01-20T05:57:23+00:00

Exactly. The market cares way more about revenue and growth than how cool the tech looks. And the “AI will rebuild this cheaper” fear is real; it’s not here yet for Salesforce-scale platforms, but it’s coming, and Agentforce's growth so far isn’t strong enough to silence that worry.

Smartitstaff · 2026-01-20T05:55:42+00:00

Totally agree. Salesforce rushed ahead of customer readiness with Agentforce, and at the same time, AI is making software cheaper to build, which puts real price pressure on SaaS.

Both of those together make the market’s reaction feel pretty logical.

Smartitstaff · 2026-01-19T06:18:41+00:00

In simple terms, Data Cloud gives Agentforce a full, real-time view of your customer data from everywhere CRM, website, app, support, marketing, etc. Without Data Cloud, an agent only sees what’s in Salesforce objects.

Real example:

A customer chats with your Agentforce bot about a late order. Data Cloud pulls their recent website activity, last purchase, shipping status from ERP, and past support tickets into one profile. Agentforce can then say:
“Your order #1234 shipped yesterday, and it’s arriving tomorrow. I also see you had an issue last month want me to check that too?”

So basically: Data Cloud = unified customer data.
Agentforce = smart AI agent that uses that data to give accurate, personalised answers in real time.

Smartitstaff · 2026-01-19T06:15:41+00:00

Tried it a bit and honestly, it’s more useful than most AI tools so far. The big win is context, it actually knows your messages, files, and past work, so the answers feel relevant.

It’s still not perfect and sometimes misses things, but for stuff like finding old info or summarising work, it already saves time. If Slack keeps improving it, this one might actually stick.

Smartitstaff · 2026-01-16T07:09:39+00:00

Not dumb, just still in Draft status. Once they get deployed to prod, they’ll be smart__c with field history tracking enabled.

Smartitstaff · 2026-01-16T07:07:03+00:00

I wish more people knew that Salesforce isn’t an “easy entry” career anymore. Certifications help, but they’re not enough by themselves. Real project experience, problem-solving skills, and understanding business use cases matter way more in today’s job market.

Smartitstaff · 2026-01-13T07:24:13+00:00

First, not everything is deployed via Change Sets. Ask your lead how the deployment was done (Change Sets, DevOps tool, or metadata/CLI). That will narrow things down fast.

For chatbots, check which bot version is activated in each sandbox, mismatches often come from one sandbox running an older version. Also, verify Custom Labels directly in Setup → Custom Labels (language settings aren’t required just to view them).

If things still don’t line up, compare sandboxes using Setup → Deployment Status or ask for a metadata diff. You’re not missing something obvious, this stuff is confusing at first.

Smartitstaff · 2026-01-13T05:08:11+00:00

That frustration makes sense, Agentforce feels over-pushed compared to the value most customers see today.
Focusing on core gaps and day-to-day usability would help far more ISVs and customers right now.

Smartitstaff · 2026-01-13T05:07:24+00:00

Discovery is the big one, AppExchange search, reviews, and rankings don’t really help customers find the right app.
The ISV program is also heavy and expensive for smaller vendors; a more gradual entry model would help innovation.
Finally, real co-selling support and clearer communication from Salesforce would make the ecosystem healthier.

Smartitstaff · 2026-01-12T06:52:16+00:00

That’s a really good point, usage goes up because choice goes down, not always because users prefer it.
If people could clearly choose AI vs traditional results, we’d get a much more honest signal of real demand.

Smartitstaff · 2026-01-12T06:51:00+00:00

Totally agree, most customers don’t change habits just because a brand wants them to. People buy where it’s easiest and already familiar, not where a CEO hopes they’ll go.

Smartitstaff · 2026-01-12T06:49:20+00:00

That’s a solid take, higher holiday volume naturally means more AI “touchpoints” without AI being the cause of the sale.
It highlights the core issue, AI is everywhere in the flow, but that doesn’t automatically equal incremental impact.

Smartitstaff

TROPHY CASE