The controlled platform for enterprise AI agents
Your AI workforce.Under your control.
AgentOS is one place, owned by your company, where AI agents do real engineering work — with only the access you grant, inside the process you define, and with a person signing off what matters.
LiveWorking on real SAP projects todayWhere it works
One platform. Different kinds of work.
The control, the process and the record are the same everywhere. Start where your work is; SAP engineering is where AgentOS goes deepest today.
- Live
SAP engineering
Agents that understand your custom SAP code and take a change from requirement to a reviewed result.
- Change requests
- AIF incidents
- Monitoring
- Live
S/4HANA transformation
Custom code made ready for S/4HANA before the conversion: SAP’s findings worked through in waves, every fix proven on the system.
- ATC readiness
- Remediation waves
- Before/after proof
- Live on GitHub
Software & DevOps
From an alert or a ticket to a reviewed pull request, with your CI and a person at the merge.
- Bug fixes from alerts
- Tickets to pull requests
- Agents as code
- On request
Your process
Any repeatable engineering process becomes a template: its steps, its specialist agents and its sign-offs.
- Your steps
- Your agents
- Your gates
The film
See AgentOS at work.
One real requirement, from the business owner’s words to a change ready for approval.
How it works
The governed layer between AI and your enterprise.
Models will keep changing. What stays is your context, your process, your rules and your record — and that lives in AgentOS.
People
AI models
AgentOS
Understand
Persistent context: code, requirements, decisions, previous work
Execute
Isolated runtime connected to your real systems
Govern
Grants, process and human approvals
Learn
Every finished task becomes company knowledge
Your systems
The real product
Not a mock-up. This is AgentOS.
Every screen below is the live console, from our demonstration environment.
Govern
Each agent gets only what you grant it.
An agent is a published definition: its model, its tools, its repositories and its access to SAP. Change it, and the next session runs the new version.
- The ABAP Reviewer cannot write code
- Its SAP connection is read-only
- Model and version pinned and visible
Govern
Each agent gets only what you grant it.
An agent is a published definition: its model, its tools, its repositories and its access to SAP. Change it, and the next session runs the new version.
- The ABAP Reviewer cannot write code
- Its SAP connection is read-only
- Model and version pinned and visible
Approve
Nothing moves past a gate without a person.
Every decision waits in one queue, held by the role your process names: business approver, technical approver, lead.
- Approve or request changes, with a reason
- Every decision kept with who and when
- Push notification when you are needed
Process
Your process, run by specialist agents.
A request runs through the steps you define. Each step is owned by a specialist agent and writes a document people read before the next one starts.
- Analysis and plan approved by named people
- Implementation and review by separate agents
- Release only after the required checks
Observe
See what every agent did, and what it cost.
Every session is recorded: its conversation, every tool call, its duration, tokens and cost — attributable to a request and a person.
- Watch a running session live
- Cost per run, agent and model
- Honest reports: what was not done is said
Learn
The work stays with the company.
AgentOS keeps what each request touched — which code it changed, which documents named it, who approved it. The next agent does not start from zero.
- A living map of your code and requests
- Searchable by people and by agents
- Survives people, projects and vendors
For leadership
The questions your board will ask.
Short answers, each backed by a screen of the real product.
- Who controls our agents?
- You do. One place decides which agents exist, what they may use and where people sign off.
- Agent grants
- Where do the agents run?
- Each session in its own throw-away container, on your infrastructure. Secrets stay on the platform and never enter it.
- Sessions
- Can anything reach production unchecked?
- No. Agents are not granted production; release waits for the required checks and a person.
- Approvals
- Can we see what AI is doing — and what it costs?
- Every session, tool call, token and cost is recorded per request, agent and model.
- Sessions
- What happens when people leave?
- The work lives on the request, not on a laptop. A colleague opens it and carries on.
- Requests
- Does our investment compound?
- Each task adds to a map of your systems and decisions that the next agent starts from.
- Knowledge
- Does it fit what we run?
- It works with SAP, GitHub and any MCP server. Jira and Microsoft 365 are in progress.
- Platform
Talk to us
See it on work like yours.
Tell us where you would start. The form goes straight to the AgentOS team; a person reads it and replies.
- Demo
- We show AgentOS at work on a demo system — an SAP system or a repository, whichever is closer to yours.
- Pilot
- AgentOS in your environment, on real items from your own backlog, judged by your team.
AI agents will be part of every team.Make sure they work for you.
See AgentOS run a real piece of work — with your rules, your process and a person at every gate that matters.
Your AI workforce. Under your control.