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Pricing September 2026 · 7 min read

ServiceNow Now Assist vs Agentforce pricing: which enterprise AI agent costs less

Only one of these two publishes a price. Salesforce prints its full Flex Credit meter and its own worked examples; ServiceNow ships 23 US pricing pages with no dollar figure on any of them.

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Short answer: you cannot compare them on price, because only one of them has a price. Salesforce publishes its full Agentforce meter, $500 per 100,000 Flex Credits which is $0.005 each, $2 per conversation, and a $5 per user per month Agentforce User License, and it even prints its own worked examples. ServiceNow publishes nothing at all: we loaded all 23 of its United States pricing pages on September 1, 2026 and none contained a dollar figure. So the honest comparison is not which costs less, it is which one you can budget before a sales call, and only Agentforce clears that bar.

Last updated September 2026. Every Salesforce figure was read from salesforce.com/agentforce/pricing on September 1, 2026 and every ServiceNow page on the same day, each served to a United States address, because vendor pricing pages geo-detect. We sell a competing agent, so check the arithmetic rather than trusting it.

The short version, side by side

ServiceNow Now AssistSalesforce Agentforce
Published list priceNone$500 per 100,000 Flex Credits
Per-action rateNot published$0.005 per Flex Credit
Per-conversation rateNot published$2.00
Seat licenceNot published$5 USD per user per month
Meter unitAssistsFlex Credits or conversations
Where the allowance sitsPooled at the tenantPooled at the org
Included allowance publishedNoYes, 2.5M credits a year on Agentforce 1
Vendor publishes worked examplesNoYes, on its own pricing page
Can you model a month before buyingNoYes

What Salesforce publishes, and what ServiceNow does not

Salesforce is unusually open about the meter. Flex Credits are $500 per 100,000, which works out at half a cent each. A conversation is $2.00. The Agentforce User License is $5 USD per user per month and it requires Flex Credits on top, so those are two purchases you need together rather than a choice between them. Agentforce 1 Editions start at $550 per user per month and carry 2.5 million Flex Credits per org per year.

ServiceNow has taken the opposite approach, and it is more thorough than most people realise. Its sitemap lists 28 pricing pages, 23 of them for the United States, covering ITSM, IT operations management, customer service management, HR service delivery, asset management, source to pay and more. We loaded every one of the 23 from a US address. All returned HTTP 200. None contained a dollar amount. The top-level servicenow.com/pricing.html is a 404. On the ITSM pricing page the only call to action is "Get Custom Quote".

Those pages are not empty, which is what makes them confusing. They have tier cards, feature lists and a comparison grid. Since the April 9, 2026 repackaging they show three AI-native tiers, Foundation, Advanced and Prime, which replaced five legacy tiers that reach end of sale on July 1, 2026. You can learn exactly what you would be buying. You just cannot learn what it costs. Our full breakdown of the tiers lives on the ServiceNow AI agents pricing page.

The units are different, so a number alone settles nothing

Even if ServiceNow published a rate tomorrow, the two meters do not line up. Agentforce counts Flex Credits per action, or whole conversations at $2. ServiceNow counts Assists, consumed whenever a skill runs, and an Assist is explicitly not a fixed quantity: ServiceNow notes that a lightweight summary costs far less than a multi-step agentic workflow, which can consume a large multiple of a simple action.

Both vendors pool the allowance rather than assigning it per person. Salesforce pools Flex Credits at the org, ServiceNow pools Assists at the tenant. That sounds like a technicality and it is not. A pooled meter means one enthusiastic team can burn the allowance the rest of the company assumed was there, and headcount tells you nothing about how close to the edge you are. If you are running any consumption-priced AI, it is worth having somewhere you keep a running view of what your SaaS and cloud spend is actually doing, because the invoice arrives a month after the behaviour that caused it.

A worked example, using Salesforce's own arithmetic

Salesforce prints this calculation on its own pricing page, so it is not our estimate. Take 100 users handling 3 cases a day, 20 days a month, at 60 Flex Credits a case. That is 360,000 credits, and at $0.005 each it comes to $1,800 a month. Add the Agentforce User License at $5 per user and 100 users is another $500. All in, roughly $2,300 a month, or about $27,600 a year, and you can check every step of that yourself.

Salesforce publishes a smaller one too: 40 Flex Credits multiplied by 20 requests a day multiplied by 30 days is 24,000 credits, or $120 a month. The point of quoting both is not that these are your numbers. It is that you can substitute your own volumes into a published rate and get an answer before you talk to anyone.

There is no equivalent paragraph to write about ServiceNow, and that is the finding. You cannot do the multiplication, because neither factor is public: not the Assist cost of an action, and not the size of the Assist pool bundled with a tier. A budget needs both.

What to ask ServiceNow before you sign

Since the public pages will not answer it, get these in the order form rather than in a slide deck. First, how many Assists are included at this tier, as a number. Second, what do our five most common actions consume, action by action, because a summary and an agentic workflow are not the same draw. Third, what happens when we exceed the pool.

That third question matters more than buyers expect, because the industry has no standard answer. Microsoft disables custom agents at 125 percent of prepaid tenant capacity. Salesforce bills consumption in arrears with no rollover. HubSpot upgrades your contract for the remainder of the term. Those are three very different outcomes for the same overrun, and you want ServiceNow's answer in writing before your first busy quarter rather than after it.

Ask which tier your requirement actually needs, too. ServiceNow puts AI specialists that independently manage workflows in Prime, and describes Foundation as task-based assistance and Advanced as agentic workflows that work alongside your team. If you need the AI to act without a person in the loop, Foundation will not do it at any price, so the tier decision comes before the price decision.

So which should you buy

If you already run Salesforce and the work sits in the CRM, Agentforce is the straightforward answer, and the published meter means you can size it honestly. Our Agentforce pricing page works through the credit arithmetic in more detail, including where the per-conversation rate beats the per-action one.

If you already run ServiceNow, the decision is narrower than it looks. The AI is now inside the tier you are renewing anyway rather than an add-on you can shop for, so the real question is which tier, not which vendor. Shopping around at renewal would mostly waste the leverage you already have.

If you run neither, be careful about what problem you are solving. Both of these are platform purchases that assume procurement, an implementation partner and a multi-year commitment. If the actual bottleneck is that requests sit for two days because one person is busy, a platform gives you somewhere to track that work rather than someone to do it. If you want to compare the credit-metered options against each other first, the Copilot Studio pricing page covers Microsoft's rate card, which is the most completely published of the three.

Our own position, stated plainly because we sell it: WorkAgent is $149 a month flat with no meter and no pool, and it does the work rather than tracking it. That is a much smaller product than either platform here and we are not pretending it replaces a CMDB. But you can put the number in a budget today, which neither of these vendors lets you do without a conversation, and one of them will not let you do it even after one.