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"The Agentic Enterprise."

Salesforce Agentforce is a platform for CRM-adjacent AI agents in sales, customer service, field service, commerce, and internal processes. Agents operate based on Salesforce data, workflows, Data Cloud, Knowledge, APIs, and integrations.
Salesforce Agentforce

The Agentic Enterprise

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7.1/10 KIFOX Score – Good

Location: Germany Salesforce, Inc., 415 Mission Street, 3rd Floor, San Francisco, CA 94105, USA. German company: Salesforce.com Germany GmbH, Erika-Mann-Str. 31, 80636 Munich, Germany.

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Free Salesforce Foundations
Includes selected core Agentforce features such as Agent Builder, Prompt Builder, Agent Script, Agentforce Coworker, and Agentforce Vibes for eligible Salesforce editions.
Other Conversations Consumption model for customer-oriented agent conversations.

Per-User Licenses User-based licensing for selected Agentforce and Salesforce editions.

Agentforce 1 Editions More comprehensive Salesforce editions with AI, agent, Data Cloud, and industry-specific features.

Agentforce for Service Service agents with templates, actions, omnichannel communication, and Service Cloud integration.

Professional Services Consulting, implementation, data preparation, governance, and agent development.

Target audience

Salesforce Agentforce is aimed at sales, service, marketing, commerce, and operations teams that want to integrate AI agents directly into their CRM processes. The tool is particularly relevant for organizations that already use Salesforce in production.

Outstanding features

Agentforce connects CRM data, knowledge, workflows, Data Cloud, and external systems with AI agents. These can process leads, categorize support cases, prepare responses, update records, and carry out tasks across multiple systems.

Main use cases

Typical use cases include sales, lead qualification, customer service, case handling, field service, commerce, internal service processes, CRM maintenance, knowledge access, and automation of follow-up actions.

Usage & notes

Agentforce should not be introduced without a clean Salesforce data model, role-based permissions, prompt/agent guidelines, and human-in-the-loop approvals. Especially for pricing decisions, HR data, customer communication, and automated CRM changes, traceable processes are required.

Target audienceAssessment
Private individualsNo – clearly geared toward Salesforce customers and business processes.
Self-employed / freelancersConditionally – only relevant with existing Salesforce usage or consulting projects.
SMEsConditionally to yes – useful for growing CRM, support, and sales teams.
Large enterprisesVery well suited – core target group for CRM agents, Data Cloud, and complex workflows.
SalesVery well suited – lead qualification, CRM maintenance, quote and customer communication.
Customer serviceVery well suited – autonomous service agents, case handling, and omnichannel support.
Developers / adminsYes – Agent Builder, Prompt Builder, Agent Script, APIs, and Salesforce integrations.
Privacy-sensitive organizationsWell suited with EU Hyperforce configuration – data residency, Trust Layer, and DPA are strong advantages.

Hosting & Data

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
?

1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.

2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.

3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.

4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.

5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.

6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.

7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
On-prem / local hosting
Private cloud / data center ⚠️
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path

On-Prem / local hosting: indirect / not available

An on-premise/local self-hosting option for Agentforce is not indicated on the Salesforce website. Cloud/Hyperforce and BYO-LLM options are documented, but not operation on the customer's own hardware.

Private cloud / data center: partial

With Hyperforce Operating Zone, a more strongly isolated regional environment is documented, in which data, according to Salesforce, is processed and stored strictly within the EU and Switzerland. However, a dedicated single-tenant private cloud for each customer is not evidenced on the website found.

EU SaaS / managed: covered

Salesforce describes Hyperforce Operating Zone as a provider-operated cloud option with processing and storage strictly within the EU and Switzerland region as well as EU-based support. This is a clear EU/EEA-relevant SaaS/managed path.

Hybrid: partial

A hybrid path is indirectly documented through 'Bring Your Own LLM': customers can configure their own model or their own instances with supported providers, while requests continue to run through the Salesforce Models API and Trust Layer. However, a classic locally internal hybrid architecture with demonstrably local model operation is not evidenced on the website.

DPA / DPA: covered

Salesforce offers a Data Processing Addendum; for Agentforce, the Privacy FAQ explicitly states that everything under the Agentforce brand is covered by the DPA. In addition, Salesforce describes contractual obligations toward subprocessors.

No training: covered

Salesforce describes a zero-data-retention policy for Agentforce/Einstein Trust Layer with respect to third-party LLMs. According to the website, information transmitted to external LLMs is not stored, viewed, or used for training after the response is returned; the DPIA document also states that customer data is not used for training third-party models.

Open-source / transparency path: indirect / not available

An open-source path for Agentforce is not indicated on the website. While there is documentation, export/integration and BYO-LLM starting points, there is no evidenced open-source basis or self-hostable open-source components for Agentforce itself.

Data processing

The documentation found describes Agentforce as a cloud service operated by Salesforce on the Salesforce platform. For EU/EEA requirements, the Hyperforce Operating Zone is particularly relevant, which according to Salesforce enables processing and storage of customer data strictly within the EU and Switzerland. At the same time, Salesforce notes in the general privacy policy that personal data may also be processed or stored in the US and other jurisdictions. For Agentforce itself, the FAQ and DPIA document refer to the respective 'Infrastructure & Sub-processors Documentation' for subprocessors and hosting locations.

Conclusion

For an EU/EEA register, I would not classify Salesforce Agentforce as unconditionally GDPR-compliant across the board, but rather as conditional: there is a clearly documented EU data residency/EU SaaS path via Hyperforce Operating Zone as well as DPA, subprocessors, transfer mechanisms, and no-training commitments for third-party LLMs. Without appropriate configuration and contract review, however, the standard situation remains complex, particularly due to possible international transfers and the use of external LLM providers. An on-premise alternative is not evidenced on the website.

Sources

On-prem / local hosting
Private cloud / data center ⚠️
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path

On-Prem / local hosting: indirect / not available

An on-premise/local self-hosting option for Agentforce is not indicated on the Salesforce website. Cloud/Hyperforce and BYO-LLM options are documented, but not operation on the customer's own hardware.

Private cloud / data center: partial

With Hyperforce Operating Zone, a more strongly isolated regional environment is documented, in which data, according to Salesforce, is processed and stored strictly within the EU and Switzerland. However, a dedicated single-tenant private cloud for each customer is not evidenced on the website found.

EU SaaS / managed: covered

Salesforce describes Hyperforce Operating Zone as a provider-operated cloud option with processing and storage strictly within the EU and Switzerland region as well as EU-based support. This is a clear EU/EEA-relevant SaaS/managed path.

Hybrid: partial

A hybrid path is indirectly documented through 'Bring Your Own LLM': customers can configure their own model or their own instances with supported providers, while requests continue to run through the Salesforce Models API and Trust Layer. However, a classic locally internal hybrid architecture with demonstrably local model operation is not evidenced on the website.

DPA / DPA: covered

Salesforce offers a Data Processing Addendum; for Agentforce, the Privacy FAQ explicitly states that everything under the Agentforce brand is covered by the DPA. In addition, Salesforce describes contractual obligations toward subprocessors.

No training: covered

Salesforce describes a zero-data-retention policy for Agentforce/Einstein Trust Layer with respect to third-party LLMs. According to the website, information transmitted to external LLMs is not stored, viewed, or used for training after the response is returned; the DPIA document also states that customer data is not used for training third-party models.

Open-source / transparency path: indirect / not available

An open-source path for Agentforce is not indicated on the website. While there is documentation, export/integration and BYO-LLM starting points, there is no evidenced open-source basis or self-hostable open-source components for Agentforce itself.

Data processing

The documentation found describes Agentforce as a cloud service operated by Salesforce on the Salesforce platform. For EU/EEA requirements, the Hyperforce Operating Zone is particularly relevant, which according to Salesforce enables processing and storage of customer data strictly within the EU and Switzerland. At the same time, Salesforce notes in the general privacy policy that personal data may also be processed or stored in the US and other jurisdictions. For Agentforce itself, the FAQ and DPIA document refer to the respective 'Infrastructure & Sub-processors Documentation' for subprocessors and hosting locations.

Conclusion

For an EU/EEA register, I would not classify Salesforce Agentforce as unconditionally GDPR-compliant across the board, but rather as conditional: there is a clearly documented EU data residency/EU SaaS path via Hyperforce Operating Zone as well as DPA, subprocessors, transfer mechanisms, and no-training commitments for third-party LLMs. Without appropriate configuration and contract review, however, the standard situation remains complex, particularly due to possible international transfers and the use of external LLM providers. An on-premise alternative is not evidenced on the website.

Sources

Strengths & weaknesses at a glance

Strengths Weaknesses
• Very strong CRM, sales, and service focus • Particularly useful within an existing Salesforce ecosystem
• Deep Salesforce, Data Cloud, and workflow integration • Complex licensing, credit, and data model logic
• Agents for Sales, Service, Field Service, and Commerce • No traditional on-premises operation
• Trust Layer with data masking and controlled model integration • Data protection depends on the Hyperforce region, model choice, configuration, and data sources
• Enterprise contract and compliance structures

Data last updated: 29. June 2026

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