SodiusWillert provides IBM Engineering AI Hub and guides you from licensing to daily use. Built for aerospace, defense, and automotive teams where every requirement, test, and change must be accounted for.
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IBM Engineering AI Hub adds AI assistants directly to IBM Engineering Lifecycle Management (ELM). They work on the requirements, work items, models, and tests your teams already manage in DOORS Next, Engineering Workflow Management (EWM), Engineering Test Management, and Rhapsody. Engineers stay in charge: they review, refine, and approve what the AI suggests.
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The AI reads your actual requirements, tasks, and models, not documents pasted into a chat window. Answers and suggestions fit your project.
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AI proposes; engineers review, refine, and approve. People stay accountable for the final decisions.
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It deploys in the cloud, on your own servers, or in air-gapped environments, so it can align with your organization's security and compliance standards.
Each assistant takes over one task your engineers do by hand today. Together, they cut the time spent searching, summarizing, and drafting, so people spend more time deciding.
Checks requirements for clarity and consistency, and suggests better wording as they're written.
Lets engineers ask questions in plain language and get answers straight from the requirements they're currently working in.
Summarizes long tasks, defects, features, and open issues, so anyone can get up to speed without reading everything.
Drafts clear, well-structured epics, features, and user stories, including success and acceptance criteria, from minimal input, so planning starts from a strong first draft.
Finds use cases and actors in written requirements and helps add them to your Rhapsody model, linked to their source, so modeling starts sooner.
Cuts the manual work of drafting test cases and detailed test scripts from selected requirements, linked back to their source, so engineers review and refine instead of writing from scratch.
Your goal: deliver complex, regulated systems faster, without losing traceability. ELM already connects your requirements, work, models, and tests. What has been missing is AI that uses that connected data safely. IBM Engineering AI Hub closes that gap.
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Buying, setting up, and rolling out AI Hub each raise their own questions. SodiusWillert takes you through all three, so nothing falls through the cracks.
We have spent our history connecting engineering data across the IBM ELM tools you already use, and beyond them. Rolling out AI Hub is the same job, applied to AI.
Years of hands-on work inside DOORS Next, EWM, and Rhapsody mean we set up AI Hub around the way your teams actually work, not a generic checklist.
Engineering data lives in more than one tool. We treat AI Hub as part of your whole toolchain, not a stand-alone install.
IBM's licensing model can be confusing. We turn it into a plain, upfront plan that your engineering and finance teams both understand.
Aerospace, defense, and automotive compliance rules shape every recommendation we make — including which decisions stay with your engineers.
Buying, setup, and training all come from one accountable partner, SodiusWillert.
LIVE WEBINARJoin IBM and 321Gang to see a live demonstration of IBM Engineering AI Hub and IBM Engineering Lifecycle Management. The team will show how AI can help regulated teams analyze and improve requirements, quickly find and understand information, and work more effectively with requirements as complexity grows.
