Make Gets Serious About Governance
Make.com launched Enterprise Grid — and it’s a significant move. For the first time, an automation incumbent is positioning governance as an enterprise differentiator:
- Centralized scenario control across departments
- Enhanced audit logs for SOC 2 compliance tracking
- AI-assisted debugging for scenario logic
- Operation pricing for AI steps (2 operations per AI step)
This validates what JieGou has been building since day one: governance is the enterprise value layer for AI automation. But there’s a depth difference that matters.
2-3 Layers vs. 10 Layers
Make Enterprise Grid adds governance at the organizational control level: centralized management and audit logs. That’s important — but it’s 2-3 layers in a stack that needs 10.
| Governance Layer | JieGou | Make Enterprise Grid |
|---|---|---|
| Identity & Authentication | Yes | N/A |
| Encryption (AES-256-GCM) | Yes | N/A |
| Data Residency Controls | Yes | EU/US data centers |
| Environment Management | Yes | N/A |
| RBAC (6 roles, 20 permissions) | Yes | Centralized control |
| Escalation Protocols | Yes | N/A |
| Tool Approval Gates | Yes | N/A |
| Audit Logging | Yes | Enhanced audit logs |
| Compliance Timeline | Yes | N/A |
| Evidence Export | Yes | N/A |
| Regulatory Compliance | Yes (EU AI Act, NIST, HIPAA, SOX) | SOC 2 tracking |
Make covers audit logging and centralized control. JieGou covers the full stack from identity through regulatory compliance.
Where Make Excels
Make’s strengths are real and shouldn’t be dismissed:
- Visual scenario builder — the best drag-and-drop automation builder in the market
- 3,000+ app connectors — deep integration library with granular API control
- Enterprise Grid scale — designed for thousands of scenarios across departments
- Competitive pricing — starting at $9/mo for non-AI scenarios
- Maia agent builder — AI agents with reasoning transparency
For teams doing API orchestration and data transformation, Make remains excellent.
Where JieGou Goes Deeper
The governance gap emerges in regulated enterprise use cases:
Regulatory compliance: Make tracks SOC 2 compliance via audit logs. JieGou maps governance controls to EU AI Act articles, NIST frameworks, HIPAA, GDPR, SOX, and FedRAMP — with a compliance calculator and evidence export for auditors.
Agent orchestration: Make scenarios are trigger-action chains. JieGou runs multi-agent workflows with guardrails, cycle detection, shared memory isolation, and auto role inference.
Protocol support: Make uses proprietary integrations with early MCP support. JieGou supports AGENTS.md + MCP + A2A — three protocols for agent interoperability.
Self-hosted deployment: Make is cloud-only. JieGou offers Docker Compose starter kit and air-gapped deployment with Ollama for local models.
Department curation: Make’s Enterprise Grid provides centralized control. JieGou provides 20 department packs with 132 templates, each curated for specific business functions.
The Governance Floor Is Rising
Make Enterprise Grid signals something important: the entire market is converging on governance as the enterprise value layer. When automation incumbents start adding governance, it validates the category.
The question for enterprises isn’t “does your platform have governance?” — it’s “how deep does your governance go?” The answer is 2-3 layers or 10.
Compare JieGou and Make in detail at JieGou vs. Make. Explore the 10-layer stack at Governance Stack.