withHuman vs WORKSHOP IT
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
withHuman compared with WORKSHOP IT
| Detail | 
withHuman | 
WORKSHOP IT |
|---|
| What it does | The approval layer for AI agents
| AI-powered requirements elicitation platform for project discovery
|
|---|
| Stage | Not given
| Startup
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| Founded | Not given
| 2026
|
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| Based in | US
| AU
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| Pricing model | Freemium
| Not given
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| Pricing | Open Source: free and self-hosted. Free: $0/month hosted plan with up to 5 members. Scale: $20 per user per month. Enterprise: Custom annual contract.
| Essentials: $500 per month (25 interviews, 1 Project Lead, 1 Delegate). Professional: $2,000 per month (200 interviews, 3 Project Leads, 9 Delegates). Enterprise: Tailored pricing available upon enquiry.
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| Key features | - Tool call interception for all agent frameworks
- Automatic approval rules to prevent fatigue
- AI judge for complex rule evaluation
- Works with LangGraph, CrewAI, Mastra, Claude Agent SDK and more
- Open Agent Approval Protocol for framework independence
- Self-hosted or cloud-hosted deployment options
- Custom permission policies and organization controls
| - Asynchronous stakeholder interviews
- Conflict highlighting and perspective mapping
- Real-time stakeholder clarification
- Current-state process flow generation
- Role-based access control
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| What makes it different | - Framework-agnostic: works with any AI agent through the open Agent Approval Protocol
- No vendor lock-in: open source spec and SDKs let you swap providers without rewriting agents
- Comprehensive audit trail for accountability and compliance
- Meets reviewers where they work with multi-platform notifications
- Policy-based routing to eliminate approval bottlenecks
| - Reduces workshop scheduling delays by conducting interviews asynchronously before meetings
- Clarifies ambiguous stakeholder input in real-time unlike traditional surveys
- Designed by practicing business analysts for real project delivery challenges
- Does not use customer content to train AI models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ▼ −1 (down) since last check | 32 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 10 |
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| Citation Flow (Majestic) | 28 | 21 |
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| Referring domains (Majestic) | 48 | 11 |
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5 details filled in for both companies.
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