AI-assisted engineering
AI Engineering Architecture & Governance
Put architecture controls around faster software creation.
Define and review the architecture guardrails, evidence and release criteria that help a team use AI coding tools responsibly.
Most clients start with Architecture Governance.
What you receive
The result of this engagement.
Architecture guardrails and, where contracted, continuing reviews and decision records for AI-assisted engineering.
- A scoped engineering guardrail and governance framework.
- Architecture review, Definition of Done and release-evidence criteria as agreed in the scope.
- Decision/exception records and periodic control reviews within agreed capacity.
When this helps
Recognise the situation.
- AI-assisted development is increasing delivery speed while review practices lag behind.
- Teams need agreed criteria for generated changes, tests and releases.
- Architecture deviations and tool/data boundaries need a consistent review mechanism.
How it works
Evidence appropriate to the question.
Establish the baseline
Agree architecture constraints, tool/data boundaries, current engineering controls and ownership.
Design the guardrails
Specify review criteria, decision rights, evidence expectations and release gates with the relevant owners.
Review and adapt
Use the agreed cadence and capacity to review significant deviations and maintain the control framework.
Scope & responsibility
Agree the scope and depth. Keep the boundaries clear.
Scope of the engagement
Onboarding/control design and ongoing governance are distinct parts of the engagement. Tool-usage inventory and detailed tool security assessment need their own specialist scope.
Limits of reliance
The client operates engineering tools, CI/CD and production controls. Sparkling does not run the engineering function or provide unlimited support. Legal and full security conclusions require qualified specialist work.
The agreed scope of the engagement sets the coverage, deliverables, responsibilities, timing and fees: a fixed fee for set-up and a fixed monthly fee for ongoing reviews. Any change to the scope is agreed in writing.
Questions
Before you book.
Do you use AI coding tools yourselves?
Yes, in our own investigation and tooling. We know where they speed a team up and where review falls behind.
How does this differ from AI solution architecture?
This engagement defines and reviews architecture controls around AI-assisted engineering. Designing an AI-enabled solution, its workflows, data and integrations sits within Solution & Transition Architecture. The required contributions can be agreed separately.
Is this the same as AI Coding Tools Readiness?
No. Tool readiness is a staged assessment of usage, data/security exposure and selection/rollout controls. This engagement addresses the architecture and continuing governance of AI-assisted engineering.
Related work
Related services
Each is available as a standalone service when the evidence and scope support it.
What's the decision in front of you?
Tell us the situation and what you intend to commit to. 25 minutes on Teams, no preparation needed. If this scope is not the right fit, we will say so.