FEVIntelliGen – Systems Engineering with AI

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FEV India

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5 mins

From engineering input to traceable Systems Engineering artifacts

In modern product development, AI Systems Engineering transforms engineering inputs into connected artifacts through a modular GenAI workflow. FEV IntelliGen transforms engineering inputs into connected Systems Engineering artifacts through a modular, multi-agent GenAI workflow. Organizations can use an individual generation module or combine modules into an end-to-end package, with review and traceability integrated throughout the journey.

Modular GenAI workflow · Connected engineering artifacts · Review and traceability integrated

Engineering knowledge is available. Turning it into consistent, connected artifacts remains difficult.

Systems Engineering teams must interpret customer inputs, standards, guidelines, templates and existing engineering knowledge before creating multiple downstream work products. When this transformation is performed manually, teams spend valuable engineering capacity on repetitive documentation, while maintaining consistency, completeness and traceability across artifacts becomes increasingly difficult as project complexity grows.

The problem IntelliGen addresses: Reducing the manual effort required to transform diverse engineering inputs into a connected chain of feature descriptions, functions and use cases, stakeholder requirements and system requirements, without losing engineering review, governance or traceability.

The question every engineering team is asking

One structured approach for multiple engineering domains

IntelliGen is designed for environments in which structured Systems Engineering and traceable artifact development are essential. The approach can support automotive, rail, off-highway, marine and defense contexts, while allowing domain-specific standards, templates, guidelines and knowledge sources to shape the generated outputs.

Adaptable to the engineering context: common workflow principles can be combined with customer-specific and domain-specific knowledge to support different products, organizations and development environments.

IntelliGen: one platform, from input to artifact

A GenAI-powered platform for connected engineering artifact generation

FEV IntelliGen uses specialized agents and approved engineering knowledge sources to generate selected Systems Engineering artifacts, support staged review and preserve relationships between upstream and downstream outputs.

Figure 1: FEV IntelliGen platform overview, transforming engineering inputs and knowledge sources into connected AI Systems Engineering artifacts.
  1. Feature One-Pager – Structures the feature description, high-level requirements and customer benefits.
  2. Functions and Use Cases – Derives functions, interactions and use-case representations from the feature context.
  3. Stakeholder Requirements – Generates stakeholder-level needs and expectations based on approved upstream artifacts.
  4. System Requirements – Derives system-level requirements from stakeholder requirements and related engineering context.
  5. Review and Refinement – Combines automated agentic review with expert-in-the-loop feedback at defined stages.
  6. Traceability – Maintains relationships across generated artifacts to support consistency, coverage, and change understanding.

Flexible modular offering

Start with one module or use the complete connected package

IntelliGen can be applied to a specific engineering artifact or configured as an integrated workflow across the complete artifact chain. This allows organizations to begin with a focused use case and expand as their needs evolve.

  • Individual modules: Feature One-Pager, Functions and Use Cases, Stakeholder Requirements, or System Requirements
  • Combined package: connected generation across all supported artifact stages
  • Customer-specific configuration: approved templates, standards, guidelines and knowledge sources
  • Stage-wise governance: review and approval points aligned to the selected workflow
  • Traceable outputs: relationships maintained between available upstream and downstream artifacts

Architecture and workflow

From approved inputs to reviewed, traceable engineering artifacts

The workflow brings together user input, standards and guidelines, document templates, and optional FEV or customer-specific knowledge sources. Specialized generation stages create individual artifacts, while supervising agents and expert feedback support iterative refinement.

fev-intelligen-ai-systems-engineering-workflow.jpg
Figure 2: FEV IntelliGen agentic workflow featuring multi-stage artifact generation, supervising agent oversight, and expert-in-the-loop review loops for AI Systems Engineering.
  1. Provide Inputs – Supply user content, guidelines, templates and approved knowledge sources.
  2. Generate Feature One-Pager – Create the Feature One-Pager as the initial structured artifact.
  3. Model Functions and Use Cases – Develop the functional view, interactions and use-case representation.
  4. Generate Stakeholder Requirements – Translate the approved feature and use-case context into stakeholder-level requirements.
  5. Generate System Requirements – Derive system-level requirements from approved stakeholder requirements and engineering context.
  6. Review and Approval – Apply automated checks and expert feedback at defined stage gates before approval and downstream use.

Why it matters

More engineering capacity, stronger consistency and clearer traceability

IntelliGen is intended to reduce effort spent on repetitive artifact creation, improving overall AI Systems Engineering workflows and helping teams focus more of their capacity on analysis, decisions and validation. The realized impact depends on the selected modules, input quality, workflow scope and customer environment.

  1. Reduce documentation effort – Automate selected generation activities and reuse approved knowledge, templates and guidelines.
  2. Shorten preparation cycles – Create initial artifact drafts faster, giving engineers more time for review and analysis.
  3. Improve consistency – Apply common structures and knowledge sources across outputs to reduce avoidable variation.
  4. Strengthen quality controls – Combine automated review with stage-wise expert validation for AI Systems Engineering artifacts to identify gaps.
  5. Preserve traceability – Connect upstream and downstream work products to support coverage and change understanding.
  6. Scale across programs – Reuse a structured approach across projects, domains and customer environments.
Designed to fit established engineering ecosystems

IntelliGen supports import, export and downstream workflows with standard industry PLM, ALM and requirements-management toolchains. Generated artifacts remain usable within the customer’s established engineering lifecycle, processes and governance environment.
Interoperability principle: generated artifacts should remain usable within modern AI Systems Engineering environments and established customer tool landscapes.

Move from manual document creation to connected engineering decisions

Start with the IntelliGen product that addresses the highest-value engineering bottleneck, or connect the modules into a complete, traceable Systems Engineering workflow.

To discuss custom integration, explore domain-specific use cases, or request a tailored pilot, get in touch with our experts Piyush Burangi and Kartik Daware.

Contact: solutions@FEV.io