Services · S05 · SYSTEMS ENGINEERING FOR AI
End-to-End Systems Engineering for AI
Based on the Gold Coast, Australia, Allayze brings INCOSE-aligned, ISO 15288 and ISO 29148 systems engineering discipline to every stage of your AI project. From initial stakeholder needs through to deployment and through-life support, we ensure your AI initiative is traceable, verifiable, and built to last.
Deliverables, not hand-waves.
Every engagement ships the following artefacts, versioned and handed over.
Requirements baseline
ISO 29148-compliant requirements capture with a complete traceability matrix linking every stakeholder need to a verifiable system requirement — no gaps, no orphaned requirements.
Risk register
AI-specific hazard analysis identifying risks unique to machine-learning systems — data drift, adversarial inputs, unintended bias — with mitigations built into the system design.
Verification plan
Comprehensive V&V plan with clearly defined acceptance criteria covering functional performance, edge-case behaviour, bias detection, and operational suitability.
Compliance package
Configuration management baselines, safety cases, maintenance procedures, and through-life support plans — everything your organisation needs to operate and sustain the system.
The process.
Elicit
Elicit stakeholder needs using structured interviews and workshops, mapped to ISO 29148 requirements using the IMPACT Framework.
Analyse
Decompose requirements, identify interface dependencies, and perform hazard analysis to baseline AI-specific risk before architecture is finalised.
Specify
Design system architecture aligned with ISO 15288 lifecycle processes and INCOSE best practice. Produce system and interface specifications.
Verify
Execute V&V plans, safety analysis, and acceptance testing — all led by a CPEng-qualified engineer. Full traceability from need to test result.
Handover
Transition to operations with configuration baselines, monitoring plans, and through-life support documentation for your programme team.
What it looks like in practice.
“First time we had full need-to-test traceability on an AI programme. It halved our rework in the V&V phase.”
Ready to get started?
A 30-minute discovery call. No slide deck. No sales pitch.
Deploy open-source AI models on your own hardware. Sensitive data stays sovereign, never crosses your network boundary.
Autonomous agents that act, reason, and collaborate — with built-in safety guardrails and human-in-the-loop oversight.
Custom software with AI integration. Next.js, React, .NET, Python, and cloud platforms built for performance and reliability.