# Sema4.ai

> Enterprise AI agent platform for building, running, and managing agents that automate back-office finance, procurement, and supply chain work.

Sema4.ai builds an enterprise AI agent platform aimed at back-office operations such as finance, procurement, and supply chain. Business users and developers build agents with natural language Runbooks, run them 24/7, and manage them from a central control plane inside the customer's own cloud environment.

## What It Is

Sema4.ai describes its product as an enterprise AI agent platform purpose-built for document- and data-heavy, multi-step processes that need deterministic, auditable outcomes. The platform is organized around Agents, Agent Studio, Control Room, Work Room, Document Intelligence, and Dynamic Data Access. Its documented use cases include invoice reconciliation, AP help desk, receivables matching, regulatory compliance, procurement sourcing, and supply chain.

## How the Platform Works

The platform has three layers: an agent layer that automates workflows such as quote to cash and procure to pay, a context layer that gives agents a consistent view of data across sources, and an admin layer where business users find and work with agents. The lifecycle is described as Build, Run, Manage, and Improve.

- Build: Agent Studio lets teams create agents with natural language Runbooks and pre-built connectors to enterprise data, apps, and tools.
- Run: agents can be shared across teams, used in tools like Slack, or run autonomously in the background.
- Manage: Control Room and Work Room cover deployment, versioning, staged rollouts, rollback, governance, observability, and audit details.

## Deployment and Security Model

Sema4.ai says agents run in the customer's AWS, Azure, GCP, or Snowflake account, using enterprise-approved LLMs such as OpenAI, Microsoft Azure, Amazon Bedrock, or Snowflake Cortex. The product page states that Control Room is SOC2 and ISO27001 certified, HIPAA compliant, and GDPR adherent. The vendor also claims automation outcomes such as 90%+ automation rates in finance workflows.

## Features
- Natural language Runbooks for creating agents
- Agent Studio for building and publishing agents
- Pre-built connectors to enterprise systems and data
- Document Intelligence for understanding documents
- Dynamic Data Access and semantic context layer
- Control Room for agent lifecycle management with versioning, staged rollouts, and rollback
- Work Room for business users to find and use agents
- Always-on autonomous worker agents
- Governance, observability, and audit details
- Runs in customer's own cloud account
- Bring your own LLM

## Integrations
OpenAI, Microsoft Azure, Amazon Bedrock, Snowflake Cortex, AWS, GCP, Snowflake, Slack

## Platforms
LINUX, WEB

## Pricing
Paid

## Links
- Website: https://sema4.ai
- Documentation: https://sema4.ai/docs/
- EveryDev.ai: https://www.everydev.ai/tools/sema4-ai