So, Salesforce announced another price hike, justifying it with a new suite of AI features now called "Agentforce." If your head is spinning a bit, you’re not the only one. The whole thing has stirred up a lot of confusion, with folks on Reddit and elsewhere venting about complex, maybe even "half-baked," AI solutions that come with a surprisingly steep price.
We’re here to break it all down for you, no sales pitch attached. This guide will give you a straightforward look at the new Salesforce AI pricing, explaining everything from their "Flex Credits" to the per-user add-ons and the hidden costs you might not see coming. Our only goal is to help you figure out what makes sense for your team without needing to schedule a demo.
Understanding Salesforce AI (now Agentforce) and its pricing
First, let’s get the names straight. Salesforce has bundled all its different AI tools, which you might remember as "Einstein," into one platform called Agentforce.
The big idea behind Agentforce is to build a team of "digital labor" or AI agents. These bots are designed to work right alongside your sales and service teams, handling the repetitive stuff so your people can focus on work that requires a human touch. On paper, it sounds great, but as we’re about to see, that deep integration comes with a pretty complicated price tag.
A complete breakdown of Salesforce AI pricing
To really understand how much Salesforce AI will cost, you have to fit together a few different pricing pieces. It feels a bit like a puzzle, so let’s look at each part one by one.
The Flex Credits consumption model
Salesforce is pushing a new pay-as-you-go system called Flex Credits. Think of it as paying for AI based on each "action" it performs.
But here’s the thing: an "action" isn’t as simple as a single click. It could be almost anything, from pulling up a customer’s record and summarizing a case to answering a question using your knowledge base.
Here’s the math: you buy a pack of 100,000 Flex Credits for $500. A single AI action uses up 20 credits, which shakes out to be $0.10 per action.
Ten cents might not sound like a lot, but these little actions can stack up incredibly fast. Salesforce even gives a few examples on its own site that show how quickly you can burn through credits with everyday tasks:
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Case Management: A simple three-step flow like identifying a customer, grabbing their case history, and adding a new comment will cost you 60 credits ($0.30).
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Field Service Scheduling: A workflow with more steps, like finding a customer and available time slots, can easily use 120 credits ($0.60).
Here’s a quick table based on Salesforce’s own examples to give you a better idea:
| Use Case | Example Actions | Number of Actions | Flex Credit Cost | Price (USD) |
|---|---|---|---|---|
| Case Management | Identify Customer, Get Cases, Add Comment | 3 | 60 | $0.30 |
| Field Service | Identify Customer, Get Work Types, Get Time Slots | 6 | 120 | $0.60 |
| Employee Onboarding | Answer Question with Knowledge | 1 | 20 | $0.10 |
Agentforce per-user add-ons and editions
On top of that consumption model, Salesforce has the more traditional per-user licenses. In many cases, you’ll need these just to unlock the AI features you want in the first place.
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Agentforce Add-ons: These start at $125 per user, per month and can be tacked onto existing Enterprise or Unlimited Edition plans. They’re mostly aimed at giving your internal team "unmetered" access to some of the generative AI and Agentforce tools.
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Agentforce 1 Editions: This is the big, all-inclusive package, and it comes with a serious price tag, starting at $550 per user, per month. This bundle wraps in everything from the add-on, plus a giant annual pool of Flex Credits and Data Cloud credits.
What this all means is pretty straightforward: if you want the really useful AI features, you’re likely going to get pushed toward these expensive bundles, which will drive up your total cost quite a bit.
The legacy ‘per conversation’ model
It’s worth mentioning that Salesforce’s original pricing of $2 per conversation is still around. It’s now being pitched for customer-facing scenarios, like a chatbot on your public website.
But, of course, there’s a catch. Your organization has to pick one model. You can’t use Flex Credits for some things and the per-conversation model for others within the same Salesforce setup. This forces you to make a big decision upfront about how you’ll use AI, which can lock you in and make it hard to adapt later if your needs change.
The platform price increase
And just when you think you’ve wrapped your head around the new AI costs, there’s more. All of this is happening on top of another price increase for the main platform itself. Starting August 1, 2025, Salesforce rolled out an average 6% price hike for Sales Cloud and Service Cloud (specifically for the Enterprise and Unlimited Editions).
This gets to the heart of why so many people are frustrated. You’re paying more for your core tools, and then you’re being asked to pay again for new AI that, according to Salesforce’s own research cited by The Register, can struggle with basic tasks, getting them right only about 58% of the time.
Hidden challenges of Salesforce AI pricing
While Salesforce markets these options as flexible, plenty of customers and industry watchers have pointed out that they can create some real headaches.
Budgeting uncertainty with consumption billing
This pay-as-you-go model sounds flexible, but it can be a nightmare for budgeting. You’re basically writing a blank check. A really busy month for your support team could lead to a shockingly high bill, which is a scary thought for anyone managing a budget.
This is where a more predictable approach can be a lifesaver. For instance, eesel AI offers clear monthly plans based on how many interactions you expect. There’s no confusing credit system, which means no surprise bills at the end of the month and no punishment for being successful.
The complexity of tracking micro-actions
On the surface, "per action" pricing seems simple enough. But one question from a customer can set off a chain reaction of different "actions" behind the scenes, and trying to keep track of it all is a huge headache. Salesforce does offer a "Digital Wallet" to monitor your usage, but that’s just one more dashboard your team has to keep an eye on.
There’s a much smarter way to figure out your costs. Instead of just guessing, a tool like eesel AI has a simulation mode that lets you test the AI on thousands of your actual past tickets. You get a real, data-driven forecast of how it will perform and what it will cost before you ever turn it on for your customers.
The risk of being locked into a single ecosystem
Let’s be honest, Salesforce AI is built to keep you inside the Salesforce world. It’s a classic walled garden. It works best with data that’s already in Salesforce, and getting it to learn from your other knowledge sources, like a company wiki or shared documents, can be a complicated and expensive project.
This is a completely different way of thinking than a tool like eesel AI, which is built to connect with the tools you already use. With over 100 one-click integrations, it can instantly learn from your knowledge wherever it is, whether that’s in Confluence, Google Docs, or even your team’s internal Slack channels.
A better alternative: Transparent AI pricing and rapid deployment
If all that complexity sounds exhausting, the good news is there’s a much simpler way to bring AI into your support team’s workflow.
Simple, predictable pricing plans
The best alternative to Salesforce’s tangled pricing is a model that’s easy to understand. With eesel AI, you won’t find any hidden fees, per-action charges, or credit systems. You just pick a plan based on the number of interactions you need and get access to everything, including the AI Agent, Copilot, and Triage tools.
| Plan | Price per Month (Billed Annually) | AI Interactions/mo | Key Features |
|---|---|---|---|
| Team | $239 | Up to 1,000 | Train on docs, Slack integration, AI Copilot |
| Business | $639 | Up to 3,000 | Everything in Team + Train on tickets, AI Actions, Simulation |
| Custom | Contact Sales | Unlimited | Advanced integrations, Multi-agent orchestration |
Go live in minutes, not months
Maybe the biggest difference, though, is how quickly you can get started. You can set up eesel AI on your own, without having to talk to a sales rep. That’s a world away from the months-long sales process many of us are used to.
Best of all, you don’t have to overhaul your current setup. eesel integrates with a single click into help desks like Zendesk and Intercom, so it fits right into the way you already work. You can make the tools you already have even better without starting a massive, disruptive project.
This video explains Salesforce's new flexible pricing model for Agentforce, designed to give businesses more control.
Making the right Salesforce AI pricing choice for your team
Look, Salesforce is going all-in on AI, but their pricing model feels complicated and expensive on purpose. The mix of platform price hikes and pay-as-you-go models creates budget headaches and pulls you deeper into their world.
But getting powerful AI help for your support team shouldn’t be this hard. Solutions like eesel AI show that you can get transparent pricing, get started quickly, and stay in complete control of your automation. You can build an AI that works with your tools and your team, not against them.
Ready for an AI solution that’s powerful but not complicated? Try eesel AI for free and see how easy it is to automate support in minutes.
Frequently asked questions
Salesforce AI pricing involves a multi-layered approach, combining a new consumption-based Flex Credits system with traditional per-user add-ons and editions. This mix, along with a legacy ‘per conversation’ model and recent platform price hikes, creates significant confusion and budgeting challenges for businesses.
Flex Credits introduce a pay-as-you-go model where each AI action consumes credits, priced at $0.10 per action. While individual actions seem inexpensive, they accumulate rapidly, making it difficult to predict exact monthly expenses and leading to potential budget overruns.
Salesforce offers Agentforce Add-ons ($125/user/month) and Agentforce 1 Editions ($550/user/month) to access advanced AI features. These traditional licenses are often necessary to unlock desired AI capabilities, significantly increasing the overall cost on top of the Flex Credits model.
Yes, the consumption-based Flex Credits can lead to unpredictable monthly bills, making budgeting difficult. Additionally, the recent 6% price hike on core Salesforce platform editions further compounds costs, meaning you’re paying more for the underlying platform and new AI features.
Salesforce AI pricing is generally seen as complex and less transparent, often requiring a lengthy sales process for implementation. In contrast, alternatives like eesel AI offer simple, predictable monthly plans with no hidden fees and allow for rapid, self-service deployment in minutes, integrating easily with existing tools.
The legacy ‘per conversation’ model ($2 per conversation) is still available, primarily for customer-facing chatbots. However, organizations must choose either this model or Flex Credits, as they cannot mix and match within the same Salesforce setup, forcing a critical upfront decision.
