AI Architecture Diagnostic
A focused, principal-led assessment of your current architecture, AI landscape, and the shortest credible path forward.
Engage when
- AI work has started but production direction is unclear
- Different teams hold conflicting views on architecture or tooling
- Leadership wants an independent assessment before committing more budget
- Legacy complexity is slowing down AI adoption
- A new CTO, CIO, or transformation lead needs a fast technical baseline
- Investors or leadership are asking for an architecture review
The engagement
The AI Architecture Diagnostic is a two-to-three-week assessment that evaluates your current technology and AI architecture across eight quality dimensions: scalability, reliability, security, maintainability, performance, observability, compliance, and AI-readiness.
It is designed for organisations where architecture debt, regulation, legacy systems, and delivery complexity all collide — and where getting the next decision right matters more than producing another strategy deck.
Process
Discovery & Interviews
Week 1
Analysis & Architecture Mapping
Week 2
Report & Presentation
Week 3
Discovery & Interviews
Week 1
Analysis & Architecture Mapping
Week 2
Report & Presentation
Week 3
Deliverables
- Architecture Assessment Report
Comprehensive evaluation of current architecture against the eight-dimension framework — scalability, reliability, security, maintainability, performance, observability, compliance, AI-readiness — with scored findings and prioritized recommendations
- Current State Architecture Map
Visual documentation of as-is architecture including system boundaries, integration flows, data pipelines, AI/ML components, and infrastructure topology
- Target State Architecture Recommendation
Proposed target architecture addressing identified gaps, with transition considerations and option analysis
- Risk Register
Categorized and scored architecture risks with business impact assessment and recommended mitigations
- Technology Debt Analysis
Quantified technology debt inventory with estimated remediation effort and prioritization based on business impact
- Architecture Roadmap
Phased roadmap from current to target state, with dependencies, effort estimates, and decision gates
Who This Is For
Typical Buyers
CTO, VP Engineering, Chief Architect, CIO, Head of AI/ML
Industries
Any enterprise with complex technology estates or legacy platforms. Domain depth in insurance, banking, and financial services
Why Sparkling Neuronics
- Principal-led, start to finish. Every interview, every architecture walkthrough, 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 handoff. No rotating team. No knowledge dilution.
- Architecture depth plus AI reality. This is not a generic readiness checklist. The assessment is grounded in enterprise architecture practice and informed by hands-on experience building production AI systems, including a multi-agent AI platform. Recommendations reflect what actually works in delivery, not what looks good on a slide.
- Domain expertise where it counts. Deep experience in regulated, complex environments — insurance, banking, and financial services — where architecture decisions carry outsized risk and regulatory weight.
- Vendor-independent. The diagnostic exists to improve your decision quality, not to create a pipeline for a delivery team. You get an honest view 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
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Ready to discuss AI Architecture Diagnostic?
No commitment. Confidential. A direct conversation to understand your situation and explore how we can help.