AI Architecture Peer Review
An independent, document-driven review of your AI architecture by a principal who has both designed enterprise systems and built AI.
Engage when
- You are about to sign off on a major AI architecture and want an independent view before committing
- Investors or leadership are asking "has anyone independent actually reviewed this?"
- The architecture was designed by the same vendor who will build it
- A previous AI project failed due to architecture decisions and you want to avoid repeating the pattern
- EU AI Act compliance concerns require an independent assessment of your technical approach
- You need a fast, low-disruption second opinion — not a multi-week engagement
The engagement
The AI Architecture Peer Review is a focused, document-driven assessment of your proposed or in-flight AI architecture. You send the architecture documentation; Sparkling Neuronics reviews it and delivers a structured assessment covering what works, what will fail at scale, and what is missing.
It is designed to be fast, low-friction, and completely independent — a second pair of eyes before you commit significant budget, not a multi-week consulting engagement.
The six dimensions are the critical-decision subset of an eight-dimension architecture framework. The remaining three — Maintainability, Performance, Observability — are operational concerns better assessed against a running system in the AI Architecture Diagnostic.
Process
Document Review
Day 1
Assessment & Analysis
Day 1-2
Deliverable Production
Day 2-3
Debrief Call
Day 3
Document Review
Day 1
Assessment & Analysis
Day 1-2
Deliverable Production
Day 2-3
Debrief Call
Day 3
Deliverables
- Architecture Review Brief
Structured assessment across six dimensions: Scalability, Reliability, Security, Data Architecture, Integration Approach, AI-Specific Concerns with Red/Amber/Green ratings
- Risk Register
Specific risks with severity rating (Critical/High/Medium/Low), description, likelihood, impact, and recommended mitigation
- Gap Analysis
Inventory of missing components, design decisions, compliance considerations, and operational concerns
- Recommendation Summary
Prioritised list in three tiers: Critical (must fix before build), Important (fix during build), Advisory (consider for future)
- 60-Minute Debrief Call
Walk through findings with architecture team
Who This Is For
Typical Buyers
CTO, VP Engineering, Head of Architecture, Lead Architect
Industries
Any enterprise investing in AI systems. Domain depth in insurance, banking, and financial services
Why Sparkling Neuronics
- Principal-led, start to finish. Every document review, every assessment, and every recommendation comes directly from Sparkling Neuronics — led by a senior enterprise architect with 15+ years across a tier-1 strategy consultancy and a listed European digital services firm, including the architecture across large-scale programmes in insurance and banking. No junior analyst screening your documents. No committee producing the findings.
- Architecture depth plus AI reality. This is not a checklist review. Sparkling Neuronics has both designed enterprise-scale architectures and built production AI systems, including a multi-agent AI platform. The assessment catches problems that pure architects miss about AI and that pure AI practitioners miss about enterprise reality.
- Speed without shortcuts. A focused, document-driven format means you get an independent assessment in one to three days — not the two to four weeks a traditional review requires. The format is lean; the rigour is not.
- Vendor-independent. The review exists to improve your architecture decisions, not to create a pipeline for implementation work. You get an honest, unbiased assessment with no downstream sales agenda.
Part of these journeys
This engagement is a step in these playbooks. See the full plan if you want the longer arc.
Related Services
Explore complementary services that build on this engagement.
AI Solution Architecture & Design
Complete solution architecture for an identified AI opportunity — technology selection, integration design, data strategy, team specification, and governance framework. Build-ready output an engineering team can implement from day one.
AI Architecture Diagnostic
A focused, principal-led assessment of your current architecture, AI landscape, and the shortest credible path forward.
Principal Architecture Oversight Retainer
Ongoing architecture governance and decision support for active transformation programs.
Ready to discuss AI Architecture Peer Review?
No commitment. Confidential. A direct conversation to understand your situation and explore how we can help.