Opus Suite AI Modeling Accelerator

Systecon now offers services to set up tailored AI solutions to easily create an Opus Suite model.

Through this expert service, Systecon can help organizations use AI in a practical way to bring the expertise and knowledge from experienced Systecon consultants directly to the end user.

Through a tailored LLM (like GPT), customers can get a tailored “Opus Suite Model Builder Assistant”, grounded in Opus Suite logic and shaped by decades of modeling know-how from Systecon.

Most users already understand their own reality: what equipment they operate, how it’s supported, how it’s used, what data exists (and what doesn’t), and what decisions the analysis must inform. But through the Model Builder Assistant, these users can get help converting that knowledge into an Opus Suite model that fits the purpose. The Assistant will do this in a way that reflects the modeling best-practices Systecon consultants apply in their own work.

In practice, an Opus Suite Model Builder Assistant can help you to:

• Get a sample model quickly up and running. This serves as a great starting point, aligned to your system type, support setup and operational concept.
• Assess missing information. With respect to the type of analysis you want to perform, the Assistant can propose pragmatic next steps to create a “minimum viable model”.
• Find inconsistencies and gaps. The Assistant can find and display mismatched product data, incomplete maintenance logic, unrealistic utilization, etc.
• Guidance on interpretation and use of key parameters. Make sure the model reflects your intended situation, and not just representing any “valid” data.
• Suggest relevant outputs and result views. Get an overview of what results are likely to matter for your specific analyses purpose.

Through this service, Systecon supports the full journey: clarifying the modeling approach, configuring the Assistant to match your conventions and import formats, and establishing validation and review practices to ensure transparent and defensible models. 

The result is a faster path to a working Opus Suite scenario, with Systecon-quality modeling expertise embedded in the workflow, so you can focus on insights and decisions rather than model mechanics.

Building a good Opus Suite model is not primarily about filling tables with data. It’s about translating a real-world situation into the right modeling choices:

• What level of product breakdown is sufficient for the questions you want to answer?
• How should failures be represented and what are their impact on the product’s performance?
• What maintenance activities are relevant to include in the model?
• How does your support organization work in practice?

Those choices can all have a significant impact on how the results should be interpreted and whether the analysis answers the right questions - and that is exactly where the knowledge from experienced Systecon modelers adds the most value.