AgenticOS (AI)
AgenticOS:
Enterprise AI for PLM
Without Losing Control
AgenticOS — the operating system for enterprise AI agents: configured, governed, and run inside your PLM.
Configure agents for development, quality, and everyday users. Bring your own model. Keep every action permission-aware, approved, and traceable.
Your model. Your permissions. Your rules.
- Bring your own model
- Configurable agents & workflows
- Respects PLM permissions
- Eval, approvals & full traces
- For Implementation — Aras & 3DEXPERIENCE
- For End User — Aras
- ALMTicket raisedBug, enhancement, user story
- DevelopData model or logic changes
- ValidatePerformance Profiler · Q-Checker · SonarLint
- Human gateApproveA person signs off
- DeployDevOps Studio · your environments
- UseFind · Report · Analyse
- Act…and raise the next ticket
- For ImplementationTicket → validated, deployed change
- For End UserFind · Report · Analyse · Act
- ALMTicket raisedBug, enhancement, user story
- DevelopData model or logic changes
- ValidatePerformance Profiler · Q-Checker · SonarLint
- Human gateApproveA person signs off
- DeployDevOps Studio · your environments
- UseFind · Report · Analyse
- Act…and raise the next ticket
Every change you ship, end to end
Two agents power the whole PLM lifecycle
These are the six stages your change already goes through. The two agents drive them end to end — and one of them is a person.
The PLM lifecycle · every change you ship
AgenticOS (AI) · powering the flow
Reads the ticket, changes the data model or the logic, validates the change with its quality configuration and — once a person has approved it — deploys it through DevOps Studio.
- ALM
- Development
- Validation
- Deployment
Find, report and analyse the artefact — then act on it.
- End users
ALM
Bugs, enhancements and user stories raised as tickets.
Development
The data model or the logic changes, depending on the ticket.
Validation
Three validation tools run over the change.
Approval
A person signs off. Nothing moves on without it.
Deployment
Packaged, analysed and deployed to your environments.
End users
Find, report on and analyse what is live — then act on it.
Tool packs · called by the development agent
Two packs the development agent reaches for at two stages — its quality configuration at Validation, DevOps Studio at Deployment. Both report back into the same human approval.
Quality configuration
Called at Validation. Findings and release readiness.
- Performance Profiler
- Q-Checker
- SonarLint
DevOps Studio
Used to deploy. Onto your environments.
- Packaging Wizard
- Import Analyzer
Choose by the job you do
Pick the studio that matches your job
Two studios, four questions each: who it is for, what it does, where it runs, and when it starts. Read the column that matches your job.
AgenticOS (AI) for Implementation
The agent for the people who build your PLM.
- Who it is for
- PLM developers, architects and delivery leads.
- What it does
- Explains what exists, drafts config and code against your standards, reviews it and generates tests.
- Where it runs
- Aras Innovator
- 3DEXPERIENCE
- When it starts
- During build — from the first question about an existing customisation to the change waiting at the approval gate.
AgenticOS (AI) for End User
The agent for the people who use it every day.
- Who it is for
- Engineers, buyers, planners and quality — anyone who opens PLM to get a job done.
- What it does
- Finds, analyses and acts on live PLM data in plain language — inside the permissions each person already has.
- Where it runs
- Aras Innovator
- When it starts
- After go-live — once the environment is built, reviewed and running.
What the quality agent actually is
The quality agent is a configuration on the development agent
A mode the development agent runs in, which pulls Performance Profiler, Q-Checker and SonarLint into the draft before a human ever sees it.
The tools it runs · ours
Performance Profiler
Runtime, query and load behaviour
Q-Checker
Quality checks against your standards
SonarLint
Static analysis, code quality, security
AgenticOS (AI) for Implementation
Quality configuration · on
A setting on this agent, not a separate agent. Switch it on and the same agent that wrote the draft runs Performance Profiler, Q-Checker and SonarLint over it before a human ever sees it.
Drafts config and code → runs the checks → reports what it changed and why.
What comes out
A reviewed draft
The change, plus what each tool found and what the agent did about it.
A release-readiness call
Ready, or not ready and why — stated before it reaches a person.
Then the approval gate
A person signs off. Nothing protected is applied before that.
See it in action
The Fastest Way to Judge AgenticOS Is to Watch an Agent Work
Bring your own PLM environment and model — we’ll show you an agent reason, use its tools, return artefacts, and hold a protected action at the approval gate.
FAQ
Frequently Asked Questions
No. AgenticOS is bring-your-own-model, so you connect the AI model your organisation already uses and approves.
No. AgenticOS agents respect your PLM permissions and work only inside the access each person already has.
No. The agents work with your existing PLM environment, explaining what already exists and drafting config and code against your standards.
Every protected action stops at a human approval gate. A person signs off before anything is applied, and every agent action is evaluated and fully traced.
AgenticOS (AI) for Implementation supports Aras Innovator and 3DEXPERIENCE. AgenticOS (AI) for End User supports Aras Innovator.