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Enterprise Setup

If you require advanced configuration, custom deployments, or special privacy controls, our team handles the implementation for you.

Enterprise setup is for teams that need more control than the standard subscription workspace provides.

When to Use Enterprise Setup

Use enterprise setup when your organization needs:

  • Private or dedicated deployment.
  • Custom model routing.
  • Bring-your-own-provider keys.
  • Custom vector database or Knowledge Base configuration.
  • Voice infrastructure configuration.
  • Domain approval and production launch review.
  • Security, compliance, or procurement support.
  • Correction Memory governance across teams or integrations.

What to Prepare

Before contacting support, prepare:

  • Workspace name.
  • Admin contact.
  • Staging and production domains.
  • Preferred model providers and models.
  • Whether you need your own API keys or InstaMCP-managed provider access.
  • Whether you need Knowledge Base, Voice Calling, Canvas, Host Capabilities, or Correction Memory.
  • Whether your APIs require double-hop authentication.
  • Launch timeline.

What Support Configures

Depending on your workspace, support may help configure:

  • Provider and model access.
  • Knowledge Base indexing settings.
  • Voice calling settings.
  • Allowed domains.
  • Private deployment details.
  • Billing and usage limits.
  • Security review requirements.

Please contact us if you need to:

  • Deploy InstaMCP on your own servers or private cloud.
  • Configure custom or private LLM routing.
  • Use your own API keys, vector databases, or customized credentials.
  • Set up enterprise-grade security, compliance, or dedicated routing.
  • Enable or govern Correction Memory across teams, integrations, or model providers.

Get in touch with us or contact your account manager to get started. We will configure and manage your entire custom setup.

  1. Confirm workspace requirements with support.
  2. Configure settings and provider access.
  3. Create the required bridges.
  4. Configure authentication, including double-hop authentication if your API needs visitor identity.
  5. Review generated tools.
  6. Deploy MCPs.
  7. Create integrations for staging.
  8. Test chat, widget, tool calls, host capabilities, canvas, Knowledge Base, voice, and Correction Memory as needed.
  9. Add production domains.
  10. Launch after final review.

Correction Memory for Enterprise Teams

Correction Memory helps your AI agent learn from approved corrections without locking that learning to one specific model.

Enterprise teams often use it to:

  • Keep customer-facing answers aligned with approved policy.
  • Reduce repeated support mistakes.
  • Preserve learned AI agent behavior when testing or switching models.
  • Separate durable AI agent guidance from temporary chat instructions.

See Correction Memory.

Enterprise Verification Checklist

  • Provider/model access is available in Settings.
  • Required bridges and deployments are active.
  • Integration domains include staging and production.
  • Double-hop authentication works for logged-in user flows.
  • Host capabilities are declared and safe.
  • Canvas renders correctly if enabled.
  • Knowledge Base documents are ready and attached if enabled.
  • Voice sessions connect if enabled.
  • Correction Memory is enabled and governed if needed.
  • Usage and billing behavior matches the enterprise agreement.