How much does gotoHuman cost?

gotoHuman offers a freemium model. The Free tier costs $0. Paid plans include Team at $99, Growth at $350, and Business at $950. Specific feature limits for each tier are listed on the pricing page.

Which platforms and frameworks does it integrate with?

It supports no-code tools like n8n and Make.com, as well as code-based stacks using JavaScript and Python SDKs, LangGraph, or Anthropic's MCP. Results are posted back to workflows via webhook.

Is gotoHuman a standalone AI agent?

No, it is not a model or agent framework. It is an approval queue you bolt onto your existing stack. Agents call the API at decision points, and humans review outputs before the workflow continues.

What compliance and security features are included?

The infrastructure is enterprise-friendly with European servers, GDPR compliance, and encryption at rest and in transit. It holds SOC 3 and ISO 27001 certifications to support secure, compliant operations.

Can I edit AI outputs before approval?

Yes, reviewers can approve, edit, or reject outputs from an inbox, email digest, or Slack notification. The platform also supports artifact versioning to compare AI outputs and agent memory for prior feedback.

gotoHuman

Human-in-the-loop review layer for AI agents and automated workflows.

Freemium· Free: $0 · Team: $99 · Growth: $350 · Business: $950Agents6.8 / 10

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In short

gotoHuman is a hosted approval layer that lets AI agents pause for human review before acting. It integrates with your existing stack via API, webhooks, and SDKs to manage consequential decisions.

Best for

Pick gotoHuman if you're putting autonomous agents into production and need a polished approval queue without building one yourself.

Skip if

Skip it if your agents are still prototypes or you'd rather wire up Slack approvals and a database table in-house.

gotoHuman is a hosted human-in-the-loop platform that lets AI agents pause and request a human review before taking consequential actions. Developers define review templates, the agent calls the API when it hits a decision point, and a reviewer approves, edits, or rejects the output from an inbox, email digest, or Slack notification. The result is posted back to the workflow via webhook so the agent can continue. It supports multi-step approvals, artifact versioning to compare AI outputs, manual triggers from custom forms, and agent memory that feeds prior reviewer feedback into future runs.

It's aimed squarely at teams shipping autonomous agents who can't yet let them run unsupervised, whether they're built in no-code tools like n8n and Make.com or in code via the JavaScript and Python SDKs, LangGraph, or Anthropic's MCP. There's a free tier with paid plans listed on the pricing page, and the infrastructure leans enterprise-friendly: European servers, GDPR compliance, encryption at rest and in transit, and SOC 3 plus ISO 27001 certifications. It is not a model or an agent framework itself; it is the approval queue you bolt onto whatever stack you already have.

Editor's take

A focused product solving a real and increasingly urgent problem: agents that need a human gate before they email a customer or push a transaction. The integrations list and compliance posture suggest it's been built for teams shipping to regulated buyers, not weekend hackers.

— The AI Tool Bible editorial team

Pros

✅ Drop-in approval inbox for any agent stack via SDKs, MCP, or HTTP
✅ First-class integrations with n8n, Make.com, and LangGraph
✅ EU-hosted with SOC 3 and ISO 27001 certifications
✅ Artifact versioning and agent memory beyond a basic approve/reject button

Cons

⚠️ Infrastructure layer, not a standalone AI tool
⚠️ Adds an external SaaS dependency to your agent pipeline
⚠️ Useful only once you already have an agent worth supervising

Use cases

human-in-the-loopagent-oversightworkflow-approvalai-review-queuecompliance

Frequently asked

How much does gotoHuman cost?: gotoHuman offers a freemium model. The Free tier costs $0. Paid plans include Team at $99, Growth at $350, and Business at $950. Specific feature limits for each tier are listed on the pricing page.
Which platforms and frameworks does it integrate with?: It supports no-code tools like n8n and Make.com, as well as code-based stacks using JavaScript and Python SDKs, LangGraph, or Anthropic's MCP. Results are posted back to workflows via webhook.
Is gotoHuman a standalone AI agent?: No, it is not a model or agent framework. It is an approval queue you bolt onto your existing stack. Agents call the API at decision points, and humans review outputs before the workflow continues.
What compliance and security features are included?: The infrastructure is enterprise-friendly with European servers, GDPR compliance, and encryption at rest and in transit. It holds SOC 3 and ISO 27001 certifications to support secure, compliant operations.
Can I edit AI outputs before approval?: Yes, reviewers can approve, edit, or reject outputs from an inbox, email digest, or Slack notification. The platform also supports artifact versioning to compare AI outputs and agent memory for prior feedback.