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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.

 

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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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