
Sema4.ai provides governed enterprise AI workflows, with features that depend on the deployment version.
Sema4.ai provides governed enterprise AI workflows, with features that depend on the deployment version.
Version 3 organizes work into Projects with shared context and tools, and Workflows that run recurring tasks. People review proposed changes and confirm or correct the resulting work items. The earlier Agent/Studio edition uses runbooks, Actions, Control Room and Work Room; those interfaces are not part of Version 3.
Administrators configure models, identity, tools and deployment. Pricing requires a quote that identifies the edition, implementation scope and consumption allowances.
Product overview
Sema4.ai provides governed enterprise AI workflows, with features that depend on the deployment version.
Information as of November 8, 2026
Version 3 organizes work into Projects with shared context and tools, and Workflows that run recurring tasks. People review proposed changes and confirm or correct the resulting work items. The earlier Agent/Studio edition uses runbooks, Actions, Control Room and Work Room; those interfaces are not part of Version 3.[5]
In the earlier Agent/Studio edition: Studio combines natural-language runbooks, model configuration and action tools. Control Room deploys and monitors agents; Work Room supports conversational work and supervision of recurring worker processes.[1], [2], [3]
Business teams define the process and test the runbook. Administrators configure identity, models and deployment; developers add Python actions when a ready-made connection is insufficient.[1], [2], [3]
The following Actions Gallery connections describe the Agent/Studio edition; confirm the required connection in your deployment version. The Actions Gallery includes Google apps, Microsoft 365, Slack, HubSpot, Salesforce, ServiceNow and Snowflake. MCP servers and custom Python actions extend it; Slack and Teams also provide interaction channels.[1], [2], [3]
This December 2024 official Work Room introduction explains how teams interact with and supervise agents. Current platform features have expanded.[4]
Starter Pack, Departmental and Enterprise plans require a sales quote. Pricing is consumption-based and implementation scope matters; include model and cloud costs in the budget.[1], [2], [3]
Access: Business teams define the process and test the runbook. Administrators configure identity, models and deployment; developers add Python actions when a ready-made connection is insufficient.[1], [2], [3]
82/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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