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Head-to-head

AgentWorks vs Relevance AI

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 Relevance AI both ship AI agents and tools that automate sales, marketing, and operations work. Relevance AI is the more mature US/AU self-serve product with a polished tool builder. AgentWorks differentiates on EU AI Act compliance, EU data residency, transparent per-token € pricing, and self-hosted deployment on Azure, AWS, GCP, or IBM Cloud.

Feature-by-feature comparison

FeatureAgentWorksRelevance AIEdge
EU AI Act complianceBuilt in: per-agent risk classification, audit log, human-in-the-loopNot advertised as a Relevance AI feature
GDPR + EU data residencyEU regions on managed cloud or self-hosted on Azure/AWS/GCP/IBMHosted in US/AU; EU data residency not advertised
PII masking before LLMGateway-layer redaction across all modelsNot advertised
LLM choice in one workspaceOpenAI, Anthropic, Google, Mistral; switch per turnOpenAI primary; Anthropic and others available per node
Free tierStarter: free with €5 token creditFree tier with limited credits
Entry paid pricingPro €49 / month · pay-as-you-go walletTeam ~$199 / month (USD)
Pricing currencyEUR; transparent per-token pass-throughUSD; credit-pack model
Pricing transparencyLive € wallet; per-token spend visible per turnCredit packs that map opaquely to model usage
AI agent templates200+ templates across marketing, sales, support, HR, finance, opsStrong template library; sales/marketing focused
Tool builderPipelines + integrations; custom agents on EnterpriseVisual tool builder is a core strength
Multi-agent pipelinesVisual chain of agents; daily/weekly schedules on Pro+Multi-agent flows via Tools/Agents combinations
Knowledge base + RAGNative; ground any agent on documents and URLsNative knowledge bases, vector indexing
Human-in-the-loopPer-agent and per-pipeline; required on EU AI Act high-risk stepsApproval steps configurable per workflow
Audit logEvery chat turn, agent run, tool call — exportable JSON/CSVRun logs per workflow; export availability not documented
Self-hosted / on-premSelf-host on Azure, AWS, GCP, or IBM Cloud (Enterprise)SaaS only

When Relevance AI is the better choice

Relevance AI has a more mature self-serve product if you are a US- or AU-based team optimizing for time-to-first-agent.

  • You operate primarily in the US or APAC and do not need EU AI Act or EU residency.
  • You want to evaluate today via instant self-serve sign-up, rather than a contact-sales onboarding.
  • Your team has invested in the Relevance "tools" abstraction and wants to keep that workflow.
  • You are comfortable with USD pricing and credit-pack billing instead of per-token € transparency.
  • You don't need self-hosted deployment.

When AgentWorks is the better choice

AgentWorks fits European teams that need governance and currency native to their procurement reality.

  • You must comply with the EU AI Act and need built-in risk classification, audit log, and human-in-the-loop.
  • You require EU data residency on managed cloud or want self-hosted on Azure / AWS / GCP / IBM.
  • You need PII redaction at the gateway layer before any LLM sees data.
  • You want transparent per-token € pricing with a live wallet — not USD credit packs.
  • You serve regulated industries (finance, healthcare, public sector, legal) where US-only hosting is a blocker.

Migrating from Relevance AI to AgentWorks

A practical six-step path. Run both systems in parallel for one week before cutting over.

  1. 1Export your Relevance "agents" and "tools" definitions to JSON; document each one's data sources and triggers.
  2. 2Map each Relevance agent to the closest AgentWorks template (32+); flag the rest for AgentWorks AI-engineer custom builds.
  3. 3Re-index Relevance knowledge bases as AgentWorks knowledge bases (one-to-one is the cleanest starting point).
  4. 4Re-implement triggers: Relevance scheduled runs become AgentWorks scheduled runs (Pro+); webhooks map directly.
  5. 5Apply per-agent EU AI Act risk classification and turn on human-in-the-loop on customer-impacting steps.
  6. 6Run both systems in parallel for one to two weeks, comparing outputs and audit logs before redirecting traffic.
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Sources for Relevance AI facts: https://relevanceai.com, https://relevanceai.com/pricing. Reviewed 2026-05-05. We update this page when Relevance AI Pty Ltd ships material changes.

FAQ

AgentWorks vs Relevance AI — common questions

Is AgentWorks a Relevance AI alternative for European businesses?
Yes. AgentWorks is purpose-built for EU teams: EU AI Act compliance, GDPR, EU data residency, PII masking before any LLM, and transparent per-token € pricing. Relevance AI is hosted in the US/AU and bills in USD with credit packs.
How does AgentWorks pricing compare to Relevance AI?
Relevance AI uses USD credit packs that map opaquely to model usage; the entry paid tier is around $199/month. AgentWorks Pro is €49/month with a pay-as-you-go token wallet and per-token pass-through pricing on a live € wallet — no model markup, no credit-to-call mapping to decode.
Can I run multi-LLM workflows in AgentWorks like Relevance AI?
Yes. AgentWorks runs OpenAI, Anthropic, Google, and Mistral in one workspace; you can switch model per turn or per agent. Relevance AI supports OpenAI as the primary engine with Anthropic and others available per node.
Can AgentWorks be self-hosted like Relevance AI?
Self-hosted is an Enterprise feature on AgentWorks (Microsoft Azure, AWS, Google Cloud, or IBM Cloud — including EU-only configurations). Relevance AI is SaaS only.
Is Relevance AI EU AI Act compliant?
Relevance AI has not advertised the platform as EU AI Act compliant; the burden is on the deploying organization to design risk classification, audit logging, and human-in-the-loop for high-risk decisions. AgentWorks ships these as core platform features.
Can I migrate my Relevance agents and tools to AgentWorks?
Yes. The migration path is: export Relevance agent and tool definitions, map to AgentWorks templates (200+ pre-built), build custom agents for anything specific, re-index knowledge bases, re-implement triggers as AgentWorks schedules or webhooks, and run both systems in parallel for a week before switching.
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