EU AI Act compliance, multi-LLM choice, and transparent € pricing — compared on the points that actually move a buying decision.
Last verified: 2026-05-05
TL;DR
AgentWorks and Salesforce Agentforce both run autonomous AI agents on company data. Agentforce is the right pick when you are deeply on Salesforce — Sales Cloud, Service Cloud, Data Cloud — and want AI tightly bound to your CRM. AgentWorks is the right pick when you want AI without the Salesforce license, with multi-LLM choice (GPT, Claude, Gemini, Mistral), EU AI Act compliance, transparent per-token € pricing, and EU data residency on the cloud of your choice.
Feature-by-feature comparison
Feature
AgentWorks
Salesforce Agentforce
Edge
Salesforce license required
No — runs as standalone SaaS or self-hosted
Yes — primarily designed for Salesforce-native deployment
EU AI Act compliance
Built in: per-agent risk classification, audit log, human-in-the-loop
Salesforce Trust Layer addresses adjacent concerns; not advertised as EU AI Act feature
GDPR + EU data residency
EU regions on managed cloud or self-hosted on Azure/AWS/GCP/IBM
Salesforce Hyperforce supports EU regions; depends on configured org
PII masking before LLM
Gateway-layer redaction across all models
Trust Layer offers data masking and zero-retention (Atlas)
LLM choice
OpenAI, Anthropic, Google, Mistral — switch per turn
Atlas Reasoning Engine; underlying models include Anthropic Claude + OpenAI; less per-task choice
Free tier
Starter: free with €5 token credit
No free tier; Salesforce license required to evaluate
Entry paid pricing
Pro €49 / month · pay-as-you-go wallet
Salesforce license + ~$2 per Agentforce conversation (Service Cloud)
Pricing transparency
Per-token pass-through; live € wallet; no model markup
Per-conversation metering on top of existing Salesforce contracts
CRM data integration
Salesforce, HubSpot, Pipedrive, etc. via integrations
Native — deepest possible binding to Salesforce CRM, Service Cloud, Data Cloud
AI agent templates
200+ templates across marketing, sales, support, HR, finance, ops
Sales Agent, Service Agent, Marketing Agent — Salesforce-CRM-focused library
Multi-agent pipelines
Visual chain of agents; daily/weekly schedules on Pro+
Agent Builder for multi-step agents; orchestrated through Flow
Knowledge / RAG
Native; ground any agent on documents and URLs
Native — grounded in Data Cloud and Salesforce records
Audit log
Every chat turn, agent run, tool call — exportable JSON/CSV
Self-host on Azure, AWS, GCP, IBM Cloud (Enterprise)
Salesforce-cloud only
Onboarding for non-Salesforce shops
Stand-alone SaaS; no CRM dependency
Optimized for organizations already running Salesforce
When Salesforce Agentforce is the better choice
Agentforce is the strongest pick when your company already lives in Salesforce.
You run Salesforce Sales Cloud, Service Cloud, or Data Cloud as the system of record — and want AI bound to that data.
You have Salesforce admins, developers, and admins who can wire Agent Builder + Flow.
Your AI use cases are predominantly CRM-centric: lead qualification, case deflection, account research.
You are willing to absorb per-conversation metering on top of existing Salesforce license costs.
Procurement requires a single Salesforce contract.
When AgentWorks is the better choice
AgentWorks is the right pick when AI should not be tied to a specific CRM, when EU compliance matters, and when pricing transparency is non-negotiable.
You are not on Salesforce, or you do not want to require a Salesforce license to run AI.
You must comply with the EU AI Act and need built-in risk classification, audit log, and human-in-the-loop.
You want multi-LLM choice across OpenAI, Anthropic, Google, and Mistral — not a single Atlas reasoning engine.
You want transparent per-token € pricing without per-conversation metering.
Your AI use cases extend beyond CRM (marketing, finance, HR, operations, legal).
You need self-hosted deployment on Azure, AWS, GCP, or IBM — not Salesforce-cloud-only.
Migrating from Salesforce Agentforce to AgentWorks
A practical six-step path. Run both systems in parallel for one week before cutting over.
1Inventory your Agentforce agents: which depend on Salesforce CRM data, and which are general-purpose?
2Keep Salesforce-data-bound agents on Agentforce if they truly need real-time CRM binding; migrate the rest.
3Map the general-purpose agents to AgentWorks templates (32+); flag complex ones for AgentWorks AI-engineer custom builds.
4Connect AgentWorks to Salesforce via integration so AgentWorks agents can read/write CRM records when needed — without requiring all agents to live inside Salesforce.
5Apply per-agent EU AI Act risk classification and turn on human-in-the-loop on customer-impacting steps.
6Run both systems in parallel for two weeks; compare conversation cost (€/turn vs $/conversation) and audit-log completeness before redirecting traffic.
AgentWorks vs Salesforce Agentforce — common questions
Is AgentWorks a Salesforce Agentforce alternative for European businesses?
Yes. AgentWorks gives European teams AI agents with EU AI Act compliance, GDPR, EU data residency, multi-LLM choice (GPT, Claude, Gemini, Mistral), and transparent per-token € pricing — without requiring a Salesforce license or accepting per-conversation metering on top.
Does AgentWorks integrate with Salesforce?
Yes — Salesforce is one of 100+ integrations. AgentWorks agents can read CRM records, update opportunities, and post to Chatter, while running outside the Salesforce license boundary. The integration is functional rather than native: AgentWorks lives in its own workspace.
How does AgentWorks pricing compare to Agentforce?
Agentforce charges approximately $2 per conversation on top of the Salesforce license you already pay. AgentWorks Pro is €49/month with a pay-as-you-go token wallet; per-token pass-through pricing is shown live in a € wallet, with no model markup and no per-conversation meters.
Can AgentWorks use Anthropic Claude like Agentforce?
Yes — and OpenAI GPT-4, Google Gemini, and Mistral. AgentWorks lets you switch model per turn or per agent. Agentforce uses the Atlas Reasoning Engine, which abstracts the underlying model choice (currently Anthropic Claude and OpenAI in most regions); you have less per-task control.
Is Salesforce Agentforce EU AI Act compliant?
Salesforce has not formally positioned Agentforce as EU AI Act compliant; Trust Layer addresses adjacent concerns (data masking, zero-retention prompts) but EU AI Act risk classification, audit log per agent, and HITL approval flows are not advertised as built-in. AgentWorks ships these as core platform features.
Do I need to be on Salesforce to use AgentWorks?
No. AgentWorks is fully stand-alone — managed cloud or self-hosted on Azure / AWS / GCP / IBM. You can connect Salesforce as an integration, but it is never required.
Private testing — Starter through Enterprise: talk to us and we will match the right plan.