Costing for AI Agents Pilot and Agentforce Pricing Simplified
- aluraanalytica
- Oct 4
- 7 min read
The foundation of any AI Agent pilot is, identification of suitable use cases for agents to perform their actions on. A good practice is to carefully consider the complexity of the use cases – not too complex as to create the risk of implementation cycle time and costs running away beyond control and not too easy as to run the risk of rendering the agents’ impact insipid.

AI Agent and Its Costs at a Glance
An AI Agent pilot has following costs:
1. Assessment Cost (if you choose to get it done by experts), wherein an AI Expert assesses your Business and IT Landscape and identifies the Use Cases as well as AI Agent Platform for you.
2. Platform licenses and AI Agents’ running cost
3. AI Agents pilot implementation cost
Here we are not going to account for platform license cost e.g. Salesforce Sales/Service/Marketing Cloud costs which is a sunk cost in most of the cases. However, if you are not using any such platform then you should account for this cost too.
In this paper we are assuming that one has already chosen, as an AI Agent platform, the Agentforce, from Salesforce.com stable.
Just to reiterate, an AI Agent interacts with the end users in a conversational style and executes the tasks as instructed by the end user in the conversation.
Agentforce platform provides predefined or customized actions tied to a topic to keep the definition and scope of an agent clear and to minimize the risk of Agent overstepping its mandate.
An Agent uses LLM, reasoning, memory, and platform tools (in this case Salesforce platform) to execute the instructions in the conversation. During execution an AI Agent could make several calls to LLM and Reasoning Engine, thereby consuming tokens which constitute a large part of the running cost. Hence, it is a good idea to have an estimate of this cost not just for the pilot but also overall because it is easy for this cost to remain obscure and balloon up quickly once the Agent is deployed and end users start using it in their day-to-day work.
If you have the estimates ready, you can choose the right pricing model and negotiate a better deal with the AI Agent platform vendor.
AI Agent platforms like Agentforce and others set their pricing keeping in mind potential calls to LLMs apart from many other things.
Broadly speaking there are three ways AI Agent Platforms set the pricing –
1. Action Based – based on number of actions an Agent is performing
2. Conversation based – based on conversations users are having with the AI Agent
3. Per User Licensing – based on per user per month with some upper limit on free
consumption credits available and then additional cost per credit consumed.
Credits could be purchased in bundles to be cost effective based on your estimate of potential usage
For ease of understanding let us pick up two simple use cases – 1. from customer service the use case selected for pilot may be – provide and log the summary of the just finished conversation with the customer. 2. The other example could be from sales – send automated nurturing emails to potential customers.
In consumption-based model, pricing is done per action rather than per token, however, if for an action, tokens cross the limit of 10,000 then that would be counted as additional action(s), in other words if an action takes 20001 tokens, then it would be counted as 3 actions. Each action costs, on an average, 20 flex credits which translates to 0.10 cents approximately.
| Description |
|
AI Agent Name | Customer Service Agent |
|
Role | Summarize the customer interaction and log the summary in a field on Case object |
|
Action | Provide and log the summary of a customer interaction |
|
Number of Users (X) |
| 5 |
Customer Interactions/User/month (Y) |
| 5000 |
Tokens consumed/customer interaction (W) | Assuming 375 words per conversation and 0.75 words per token consumed | 500 |
Token Consumption/Month
C = (X*Y*W) |
| 12,500,000 |
# of actions A | C/10000 | 1250 |
Price per action P | 0.1 USD |
|
Cost/Agent/month A*P |
| 125 USD |
|
|
|
| Description |
|
AI Agent Name | Sales Development Representative |
|
Role | Nurture Assigned Leads |
|
Action | Send automated nurturing emails to leads |
|
Number of Users (X) |
| 5 |
Leads/User/month (Y) |
| 200 |
# of emails / lead/month (Z) |
| 100 |
Tokens consumed/email | Assuming 150 words per email and 0.75 words per token consumed | 200 |
Token Consumption/Month C = (X*Y*Z*W) |
| 20,000,000 |
# of actions A | C/10000 | 2000 |
Price per action P | 0.1 USD |
|
Cost/Agent/month A*P |
| 200 USD |
|
|
|
The above table provides two examples of going about estimating the running cost of AI Agents. This helps in selecting the right pricing model for your pilot. Scope of a pilot is always limited to few use cases with limited number of users which warrants (often) going for a consumption-based pricing model instead of a fixed pricing model (per user/month with default credits).
Once pilot is deemed successful and you have plugged in your numbers for an organization wide implementation you might find that you require a different pricing model. You can negotiate a significant volume discount if you have all the numbers in hand.
Here is the Agentforce pricing info from Salesforce.com site:
Salesforce Agentforce Pricing (as per Salesforce.com)
Pricing Models Offered
Salesforce gives multiple ways to pay for Agentforce:
Flex Credits (consumption-based)
Conversations (per conversation)
Per-user licensing / add-ons / editions
Key Price Points & Options
Model / Option | Price | Notes / What’s Included |
Flex Credits | US $500 per 100,000 credits | Works based on “actions” that agents perform; you draw from the credit pool |
Per Conversation | US $2 per conversation | For customer-facing use cases |
Agentforce Add-On (employee use) | US $125 per user / month | Unmetered usage for employees (Sales, Service, Field Service) |
Agentforce Industries Add-On | US $150 per user / month | For Industry Clouds (with industry-specific AI) |
Agentforce 1 Editions | From US $550 per user / month | Comes with 1 million Flex Credits / year, etc. |
Agentforce User License | US $5 per user / month | Requires Flex Credits (metered) |
In August 2025, Salesforce introduced pay-as-you-go and pre-commit models to its pricing structure.
Under the Flex Credits model, each “action” costs 20 Flex Credits, which is roughly US $0.10 per action.
The conversation model and Flex Credits cannot be used simultaneously in the same org.
Agentforce Price for German market and Comparison with other vendors:
Here are estimates showing prices converted into EUR for Germany (using current USD → EUR rate) + adding German VAT (19%), plus example monthly costs for 5-agent and 50-agent scenarios. These are rough estimates meant to give directional comparison; actual contracted prices may vary. Also this doesn’t take into account the token/action volume beyond the default volume allowed with the listed price.
We strongly recommend not to choose an AI Agent platform solely based on list price.
Assumptions
Parameter | Value |
USD → EUR exchange rate | USD 1 ≈ EUR 0.88 (Forbes) |
German VAT rate | 19% for most goods/services. (All About Berlin) |
Converted Prices + VAT
Here are approximate converted prices for some of the offerings we compared, inclusive of VAT:
Vendor / Plan | Original USD Price | Converted to EUR (≈ × 0.88) | Plus 19% VAT → Estimated EUR Price incl. VAT |
Salesforce Agentforce “US$500 per 100,000 Flex Credits” | US $500 | ≈ €440 | +19% → ≈ €524 |
Salesforce Agentforce “US$2 per conversation” | US $2 | ≈ €1.76 | +19% → ≈ €2.10 per conversation |
Salesforce Agentforce “US$125 / user / month” | US $125 | ≈ €110 | +19% → ≈ €131 / user / month |
Zendesk Suite Team “US$55 / agent / month” | US $55 | ≈ €48.40 | +19% → ≈ €57.60 / agent / month |
Zendesk Suite Growth “US$89 / agent / month” | US $89 | ≈ €78.30 | +19% → ≈ €93.18 / agent / month |
Intercom Essential “US$29 / seat / month” | US $29 | ≈ €25.50 | +19% → ≈ €30.35 / seat / month |
Example Monthly Cost Scenarios (Germany)
Here are estimates for what a small / larger team might pay under different vendors, using the converted / VAT-included prices above.
Scenario | Vendor / Plan | Agents or Seats | Cost per Agent (incl. VAT) | Total Estimated Monthly Cost |
Small Support Team (5 agents) | Zendesk Suite Team | 5 | ~ €57.60 / agent / month | ≈ €288 / month |
Intercom Essential | 5 | ~ €30.35 / seat / month | ≈ €152 / month | |
Salesforce Agentforce (user-license model) | 5 | ~ €131 / user / month | ≈ €655 / month | |
Larger Team / Enterprise (50 agents) | Zendesk Suite Growth | 50 | ~ €93.18 / agent / month | ≈ €4,659 / month |
Intercom higher plan / seats | 50 | assume ~ €80 / seat / month (for more advanced plan) | ≈ €4,000 / month | |
Salesforce Agentforce unmetered employee plan | 50 | ~ €131 / user / month | ≈ €6,550 / month |
Please Note:
These converted prices assume standard VAT at 19% and full pass-through; vendors may have special pricing for Germany/EU and may include or exclude VAT in their listed prices.
Currency fluctuations mean these are estimates; actual USD→EUR rate could be slightly different at time of contract/invoice.
Some vendors offer volume discounts, negotiated enterprise deals, or different rates for non-profits, which can substantially alter cost.
Some features (AI, automation, conversation charges etc.) may incur additional costs not captured in per-seat licensing.
Always check whether “seat / user” includes certain features or whether some functions are add-ons (this can greatly affect total cost).
Conclusion:
Looking above at the costing details and the drivers, we can safely surmise that knowing the cost drivers like platform licenses and token consumption and selecting the suitable use cases is the key to keep the costs optimized for an AI Agent pilot implementation.
It is also imperative to reiterate that pilot is your chance to get acquainted with the platform and its capabilities as well as finalizing your scope, use cases, users for a full-scale implementation. Your home work and preparedness will put you in the best position possible to optimize TCV (Total Contract Value) as well as LTV (Life Time Value) of your AI Agent Platform.






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