gotoHuman

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

Freemium· Free tier; paid plans on pricing pageAgents

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