Give teams powerful AI automation without losing control.

Use projects, permissions, controlled implementations, version choices, verified webhooks, and isolated code execution patterns to make AI workflows usable in real operations.

Give teams the control they need to use AI safely, confidently, and at scale.

Real teams need clear ownership, controlled interfaces, trusted source boundaries, predictable workflow versions, and secure ways to expose automation beyond the builder.

Project-level structure

Organize workflows, Library files, documents, databases, AI research, and permissions around a specific client, team, goal, or operating system.

Team permissions

Share projects with Owners, Admins, and Contributors so collaboration is possible while permission management stays controlled.

Controlled implementations

Expose approved forms and tools to users while keeping workflow editing, dashboards, and admin controls restricted.

Version behavior

Choose whether a live implementation uses the latest workflow version or locks to a specific version for consistency.

Verified webhooks

Use Typeform signature verification or generic token headers, with HTTPS endpoints and filtered sensitive headers.

Code execution controls

Run JavaScript or Python code nodes in fresh, isolated environments with execution limits and cleanup after each run.

Built for companies that want the best not generic SaaS.

Controls for the moments where AI needs operational discipline.

These controls matter most when workflows touch customers, sensitive documents, pricing, proposals, external systems, or team-wide operating routines.

Client-facing intake tools

Collect files and information from external users while protecting the underlying workflow logic.

Proposal review workflows

Keep RFP review, compliance analysis, and drafting logic inside controlled projects with defined collaborators.

Pricing workflows

Use controlled apps and versioned workflows for assumptions, scenarios, approvals, and generated outputs.

Webhook-triggered operations

Trigger workflows from external systems while using verified webhook endpoints and secrets.

Custom technical extensions

Use code nodes for specialized logic while keeping each execution isolated and temporary.

Multi-client workspaces

Separate projects, database environments, libraries, workflows, and permissions for client-specific operating systems.