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Tool Automation enterprise active Below 8
6/10 Niche
Active

Monthly Enterprise contact sales on public pricing page Annual docs still describe Free, Pro, Team, Actions, and Vendor Credits

Best plan

Enterprise contact sales on public pricing page

Risk: Do not quote old Pro/Team prices as current

See Relevance AI pricing

Editorial · no paid placements

Should you use it?

Relevance AI is a no-code platform for building AI workforce agents that reason and act. As of June 2026, the public pricing page foregrounds Enterprise contact-sales packaging, while docs still explain Actions, Vendor Credits, Free, Pro, Team, top-ups, rollovers, and BYO API keys. Pick it for business-owned agents and workforces; skip it if you need transparent self-serve pricing or developer-grade control.

  • Buy if Non-technical teams building sales or support agents
  • Pick Enterprise contact sales on public pricing page; docs still describe Free, Pro, Team, Actions, and Vendor Credits
  • Skip if Engineering teams needing maximum control

Plan guidance

What to buy

Best plan Enterprise contact sales on public pricing page; docs still describe Free, Pro, Team, Actions, and Vendor Credits

Watch: Do not quote old Pro/Team prices as current

Price range Enterprise contact sales on public pricing page; docs still describe Free, Pro, Team, Actions, and Vendor Credits

Enterprise contact sales

Upgrade only if Not for engineering teams needing maximum control

Do not quote old Pro/Team prices as current

Current pricing source: Relevance AI pricing page

Fit

Use it for this, skip it for that

Best for

  • Non-technical teams building sales or support agents
  • Agencies deploying AI workforce tools for clients
  • Business teams prototyping assistants without engineers
  • Ops managers automating judgment work, not just data routing

Avoid if

  • Engineering teams needing maximum control
  • Teams relying on extensive pre-built SaaS integrations
  • Mission-critical workflows with zero tolerance for drift
  • Cost-predictable budgets (credit system is opaque)
Watch out
Do not quote old Pro/Team prices as current. The public pricing page no longer exposes those self-serve rates in the static page; verify any Free, Pro, Team, monthly allowance, and paid-plan terms inside the app or directly with Relevance AI.

Recent changes

Only what affects the decision

  1. Public pricing page

    Static public pricing now foregrounds Enterprise only: custom Actions, custom Vendor Credits, unlimited agents/tools/users/projects/workforces, 2,000+ integrations, calling/meeting agents...

    Relevance AI pricing page
  2. Docs billing model

    Docs say Free users get 200 Actions/month and 1,000 Vendor Credits; paid plans can buy top-ups, roll over top-ups/Vendor Credits, and bring their own API keys to bypass Vendor Credits

    Relevance AI plans and credits documentation
  3. Pro (annual)

    Prior verified Pro annual rate; 30,000 actions/yr + $240 Vendor Credits/yr

    Relevance AI pricing page

Alternatives

Best swaps

Microsoft Agent Framework

Microsoft's open-source agentic AI engine, merging Semantic Kernel and AutoGen, now sitting beside the Work IQ, Foundry, Copilot

Free (open source) · 9/10 Langfuse

Open-source LLM engineering platform for observability, prompt management, evals, datasets, and OpenTelemetry tracing. ClickHous

$0 free / $29 Core / $199 Pro / $2,499 Enterprise · 8.8/10 LangGraph

LangChain's low-level orchestration runtime for long-running, stateful AI agents. MIT-licensed Python and JavaScript libraries;

$0 library / $39 Plus / usage-based deployment · 8.8/10
Build comparison
Proof and score math Verified Jun 25

Proof

Why this recommendation is trusted

Evidence Relevance AI pricing page
Source
Registered source
Freshness
Aging
Confidence
Medium confidence
Verified
Review
Volatility
Volatile

Evidence is approaching its review window.

Editorial score

Unweighted average of 4 axes · confidence high

  • Utility 7/10

    How much real work it can do for a competent operator, end to end.

  • Value 6/10

    What you get for the dollar relative to the closest alternative.

  • Moat 5/10

    How hard it would be for a competitor to replicate the underlying advantage.

  • Longevity 6/10

    How likely the product is to still be best-in-class 24 months out.

Verified facts

  1. Best For No-code AI workforce platform for building enterprise agents, tools, and workforces across GTM, support, operations, research, and business-process automation.
    medium Drifts 2026-06-25 Relevance AI pricing page
  2. Pricing Anchor As of June 25, 2026, the public pricing page foregrounds Enterprise only: custom Actions, custom Vendor Credits, unlimited agents/tools/users/projects/workforces, 2,000+ integrations, SSO/RBAC/audit logs, and dedicated account management. Docs still define Free at 200 Actions/month plus 1,000 Vendor Credits, Actions at $80 per 1,000 top-up, Vendor Credits at $20 per 10,000 top-up, and BYO API keys on paid plans.
    high Volatile 2026-06-25 Relevance AI pricing page
  3. Watch Out For Do not quote old Pro/Team prices as current. The public pricing page no longer exposes those self-serve rates in the static page; verify any Free, Pro, Team, monthly allowance, and paid-plan terms inside the app or directly with Relevance AI.
    high Volatile 2026-06-25 Relevance AI plans and credits documentation
Full review notes Long-form details, FAQ, and source history

Relevance AI is a no-code AI workforce platform built by Relevance AI Pty Ltd. Drag-and-drop tools, agents, and workforces let business teams automate judgment work without building a full agent stack from scratch.

Since September 2025, pricing splits into Actions (tool runs) and Vendor Credits (AI model and tool costs). That split changes the cost calculus versus flat-token platforms. The June 2026 public pricing page now foregrounds Enterprise only; the docs still describe Free, Pro, Team, legacy/new billing, top-ups, rollovers, and BYO API keys. Treat this as an enterprise-first buying process, not a clean self-serve price card.

System Verdict

Pick Relevance AI if a non-technical team needs AI agents that make judgment calls, not just shuffle data between apps. The sweet spot is sales qualification, support triage, and lead research. Built-in OCR, classify, and extract tools cover most business agent patterns without code.

Skip it if you need engineering-grade control or predictable unit costs. The Actions plus Vendor Credits split is transparent on paper and opaque in practice. Complex agents with multiple decision branches burn credits faster than flat-rate alternatives. The current public pricing page makes procurement comparisons harder because it foregrounds Enterprise rather than a full self-serve ladder.

Who pays which tier: Free is for proof-of-concept only, with 200 Actions/month plus 1,000 Vendor Credits per current docs. Enterprise is the public-pricing-page path for serious teams. Pro and Team still appear in documentation, but buyers should verify availability, allowances, and price inside the app or with sales before budgeting.

Key Facts
CategoryNo-code AI workforce builder
Launch2023-06
Pricing modelActions (tool runs) + Vendor Credits (AI model/tool costs), split since Sept 2025
Public pricing pageEnterprise only in the static June 2026 page: custom Actions, custom Vendor Credits, unlimited agents/tools/users/projects/workforces
Free docs allowance200 Actions/month + 1,000 Vendor Credits
Top-upsActions $80 per 1,000 · Vendor Credits $20 per 10,000
BYO API keysPaid plans only, used to bypass Vendor Credits
Enterprise controls2,000+ integrations · calling/meeting agents · enterprise triggers · agent evaluations · A/B testing and analytics · SSO, RBAC, audit logs
Procurement noteDo not quote old Pro/Team public prices without direct re-verification

Every data point above was re-verified against vendor sources on 2026-06-25. See Sources.

What it actually is

A visual builder for composable AI tools and agents. A “tool” is an atomic action like Extract, Classify, or OCR. An “agent” wires tools into a goal-seeking loop with branching, memory, and RAG.

Agents deploy as chatbot widgets, REST endpoints, or scheduled background jobs. Paid-plan BYO API keys let teams bring direct provider billing instead of consuming Vendor Credits for every model call.

The moat is the no-code UX and the opinionated agent primitives, not the underlying LLMs. Anyone with an API key can replicate the tools. Relevance AI bets non-technical teams pay for the integration cut.

When to pick Relevance AI

  • Sales ops without engineers. Lead scoring, qualification, and outbound research agents ship in hours.
  • Support triage with judgment. Classify incoming tickets, draft responses, escalate when confidence is low.
  • Agency client work. Ship AI tools for a client without standing up infrastructure.
  • Workforce agents that handle documents. OCR plus Extract plus Classify is the backbone of invoice, contract, and resume workflows.
  • Mixed model routing. Single agent that calls Claude for analysis and OpenAI frontier models for drafting without custom plumbing.

When to pick something else

  • Developer-grade agent framework: CrewAI or Letta for Python-native control.
  • General app-to-app automation with huge SaaS catalog: Zapier or n8n.
  • Voice-first conversational agents: Voiceflow.
  • Visual LangChain-style agent flows: Langflow.
  • Predictable per-seat pricing: Zapier tiers are easier to model than split credits.

Pricing

The public pricing page now foregrounds Enterprise rather than a full self-serve ladder. The docs still explain Free, Pro, Team, Actions, Vendor Credits, old billing, new billing, top-ups, and BYO API keys, so buyer-facing copy should separate the public marketing page from the in-app/docs billing mechanics.

SurfacePrice signalActionsVendor CreditsBuyer note
Public pricing pageEnterprise / Talk to salesCustomCustomCustom Actions, Vendor Credits, unlimited agents/tools/users/projects/workforces
Docs: Free$0200/mo1,000 includedPrototype only
Docs: top-up$80 per 1,000 ActionsPurchased top-ups roll over to next billing cycle$20 per 10,000 Vendor Credits, roll over while subscribedPaid plans only
Docs: paid plansVerify in app or with salesPlan-specificPlan-specificBYO API keys available on paid plans, not Free

Prices and allowances verified 2026-06-25 via Relevance AI pricing and Relevance AI plans and credits docs. Old public Pro/Team dollar amounts are historical unless directly re-verified in checkout or with sales.

Actions are agent steps. Vendor Credits are consumed by the LLM billing.

Against the alternatives

Relevance AICrewAIZapier
AudienceNon-technical ops/salesPython developersMixed, app-automation-first
AbstractionVisual tools + agentsRole-based crewsTriggers + Zaps
Agents that reasonYes, nativeYes, code-definedLimited via AI Actions
SaaS integrationsNarrowNone (you build)Broadest in the category
Cost predictabilityLow (split credits) tokens only)High (per-task)
Enterprise controlsYes at Enterprise tierYes at Ultra tierYes at Enterprise
Best viewed asAI workforce builderDeveloper agent frameworkApp automation platform

Failure modes
  • Public pricing is Enterprise-first. The static public pricing page no longer exposes a complete self-serve Pro/Team price ladder. Self-serve buyers cannot benchmark plans without in-app checks or a sales conversation.
  • Credit system is opaque. Predicting per-run cost needs manual calibration. Multi-branch agents with retries can spike usage by 5x versus happy-path tests.
  • Narrow SaaS integration library. API calls work, but there is no Zapier-scale app catalog. Integrating with a niche CRM means writing the REST call yourself.
  • Agent quality depends on prompt craft. The visual builder lowers the floor, not the ceiling. Bad prompts still ship bad agents.
  • Production reliability is a DIY concern. Agents drift, loop, or fail silently without human-in-the-loop. Enterprise tier adds audit, not guaranteed determinism.
  • Smaller ecosystem. Fewer templates, fewer tutorials, thinner community than CrewAI, LangChain, or Zapier.
  • Free tier is demo-sized. 200 Actions a month is enough to test, not enough to run a real workflow.

Methodology

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility × Value × Moat × Longevity, unweighted average). Last verified 2026-06-25 against Relevance AI pricing and Relevance AI plans and credits documentation.

FAQ

Is Relevance AI free? The docs say Free users get 200 Actions/month plus 1,000 Vendor Credits. That is suitable for demos and early prototypes, not production. The public pricing page currently foregrounds Enterprise, so verify Free availability in-app before relying on it.

How does Relevance AI pricing work? Since September 2025, pricing splits into Actions and Vendor Credits. The docs define an Action as a tool run and Vendor Credits as AI model/tool cost. Paid plans can buy top-ups, and BYO API keys can bypass Vendor Credits. Current top-up rates are $80 per 1,000 Actions and $20 per 10,000 Vendor Credits.

Relevance AI vs CrewAI? Relevance AI targets non-technical teams through a drag-and-drop builder. CrewAI targets Python developers through a role-based framework. Pick Relevance AI when business users own the agent; pick CrewAI when engineers own it.

Does Relevance AI handle OCR and document extraction? Yes. OCR, Classify, and Extract are built-in primitives. Combining them with a knowledge base RAG store covers most document-intelligence workflows without code.

Can Relevance AI use multiple LLMs in one agent? Yes, the platform supports multi-model agent workflows and paid-plan BYO API keys. Verify the exact current model list inside the product before committing a workflow to a specific provider/version.

Sources
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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/relevance-ai/)
aipedia.wiki Editorial. (2026). Relevance AI: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/relevance-ai/
aipedia.wiki Editorial. "Relevance AI: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/relevance-ai/. Accessed July 2, 2026.
aipedia.wiki Editorial. 2026. "Relevance AI: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/relevance-ai/.
@misc{relevance-ai-editorial-review-2026, author = {{aipedia.wiki Editorial}}, title = {Relevance AI: Editorial Review}, year = {2026}, publisher = {aipedia.wiki}, url = {https://aipedia.wiki/tools/relevance-ai/}, note = {Accessed: 2026-07-02} }
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