AgentOS platform
Controlled agentsfor any engineering work.
Publish specialist agents, give each only the tools and systems it needs, and run your work through a process with people at the gates. Every session isolated, every step recorded, every result kept.
Enterprise runtime
A controlled runtime for AI engineering.
Each AgentOS session runs in its own throw-away container with a defined context, tools, permissions, connections and network. Secrets stay on the platform — it makes the call on the agent’s behalf. The agent receives only what it needs for the task.
Isolated agent runtime
Context
only the objects and history this task needs
Tools
Git, SAP via ADT, any MCP server — per task
Permissions
read, write DEV, never production
Connections
named systems, scoped credentials
Gates
where a named person decides
Network
allow-list per environment
Process
Your process. Specialist agents. People at the gates.
A template turns a repeatable process into steps. Each step is owned by one agent and writes a document; the next step starts only when the one before it is done — and where your process says so, only when a named person approves.
1step
Analyse
Consultant agent
→ functional spec
Gate: Business approver2step
Plan
Architect agent
→ technical design
Gate: Technical approver3step
Implement
Developer agent
→ branch + report
no gate · next step starts4step
Review
Reviewer agent
→ graded findings
no gate · next step starts5step
Test
Tester agent
→ test report
Gate: A person decides6step
Release
A person
→ pull request merged
no gate · next step starts
Governance
Autonomous where it can be.Governed where it matters.
Agents work on their own inside the grants you give them. Your process names the gates where a person decides, and what an agent is not granted, it cannot do.
- Granted
- Read code and dictionary
- Analyze dependencies
- Write on a branch in development
- Needs a person
- Approve the analysis
- Approve the design
- Release the change
- Not granted
- Production systems
- Tools outside the agent’s grants
AI speed. Enterprise control.
The real product
Control you can see.
Live screens from the AgentOS console.
Grants
Least privilege, enforced by the platform.
Tools, skills, repositories, folders and system connections are granted per agent. The platform enforces them — not the prompt.
- Write tools switched off for reviewers
- Read-only connections where that is enough
- Secrets never enter the agent’s container
Grants
Least privilege, enforced by the platform.
Tools, skills, repositories, folders and system connections are granted per agent. The platform enforces them — not the prompt.
- Write tools switched off for reviewers
- Read-only connections where that is enough
- Secrets never enter the agent’s container
Approvals
One queue for everything that needs a person.
Decisions, results to check and questions from agents land in one place, held by the role your process names.
- Approve or request changes
- An agent that is unsure asks — and waits
- On your phone, with a push
Record
Every run, every agent, every cost.
Each session is recorded with its task, agent, duration, outcome and cost — and can be reopened and continued later.
- Live view of a running session
- Cost per run, agent and model
- Sessions resume with their context
Knowledge
What the work touched, kept and linked.
Requests, documents, decisions and code are indexed into one map that people and agents search.
- Survives people and projects
- Feeds the next agent’s context
- Derived from your repositories
Works with the systems your SAP teams already use.
- SAP ECC
- SAP S/4HANA
- SAP BTP
- ADT
- ATC
- GitHub
- abapGit
- Any MCP server
- Jira · in progress
- Microsoft 365 · in progress
One place for every agentyour company runs.
Bring a process your teams repeat every week. We will show you AgentOS running it — controlled, recorded, approved.
Your AI workforce. Under your control.