Faster engineering with controlled assurance

AI-Assisted Industrial Software Development

Apply AI to requirements, code understanding, documentation, testing and support while retaining version control, review, traceability and accountable engineering approval.

The engineering problem

Make the complete system supportable

AI can accelerate software work, but unreviewed generated code is not an industrial engineering process. Axiotech combines private knowledge retrieval, static analysis, automated tests and human approval so acceleration does not remove control.

Capability

What Axiotech can undertake

  • Legacy TwinCAT and industrial software inventory, analysis and documentation
  • Requirements-to-design traceability and standards-aware engineering workflows
  • Private code and documentation assistants grounded in approved repositories
  • Test-case generation, simulation, regression checking and acceptance evidence
  • Automated release notes, change-impact analysis and maintenance knowledge capture
  • Secure developer platforms for containerised, data and AI workloads

Project evidence

Typical deliverables

  • Current-state codebase and engineering-process assessment
  • Controlled AI-assisted development workflow
  • Repository, documentation, test and review integration
  • Pilot project with quality and productivity measures
  • Governance, security and operating procedures

Delivery model

Assessment, design, proof, commissioning and support

The scope can begin with a focused review or proof of concept, then move through agreed technical and commercial gates. Axiotech documents assumptions, interfaces, responsibilities, tests and handover so the result can be operated and maintained after commissioning.

01

Define

Survey the current state, intended outcome, constraints and evidence obligations.

02

Deliver

Engineer and integrate the agreed system with controlled reviews and acceptance gates.

03

Sustain

Commission, train, hand over and provide planned remote or onsite support.

Next step

Describe the machine, software estate or production outcome.

We will identify a sensible first assessment or work package.

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