Second Opinion
A significant architecture decision or investment is on the table — new AI platform, vendor selection, build-vs-buy — and leadership wants independent validation before committing budget.
Phase 1 — Review & Validate
Independent peer review of the proposed architecture. A focused assessment that surfaces design gaps, scalability risks, and vendor assumptions that do not hold.
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.
- Architecture Review Brief
- Risk Register
- Gap Analysis
- Recommendation Summary
After: Critical design gaps surfaced. Independent verdict delivered: approve, revise, or reject the proposed architecture.
Phase 2 — Go Deeper
If the peer review's six-dimension verdict surfaces structural issues that need a fuller assessment: the full eight-dimension diagnostic — adding Maintainability, Performance, and Observability — with a remediation roadmap.
AI Architecture Diagnostic
A focused, principal-led assessment of your current architecture, AI landscape, and the shortest credible path forward.
- Architecture Assessment Report
- Current State Architecture Map
- Target State Architecture Recommendation
- Risk Register
After: Full eight-dimension assessment with remediation roadmap. The depth behind the peer review verdict — every gap quantified, every fix sequenced.
Phase 3 — Ongoing Governance
The same principal who reviewed the architecture stays engaged as an ongoing architectural sounding board — ensuring the design holds through delivery and evolution.
Principal Architecture Oversight Retainer
Ongoing architecture governance and decision support for active transformation programs.
- Monthly Architecture Review
- Decision Log
- Risk Register Updates
- Architecture Board Facilitation
After: Ongoing architecture governance. The same principal who reviewed the design stays involved as decisions compound.
Outcome
Architecture validated — or corrected.
Related Journeys
First AI Build
A company needs its first AI use case in production — not a strategy deck, a working capability. There is no internal AI team, no data science function, and no prior AI initiative to build on. Every vendor wants to sell a 12-month programme. The pressure is to show proof of value before committing at that scale.
View journeyProject Rescue
An AI initiative is behind schedule, over budget, or stuck in pilot — and nobody internally has the independence or the mandate to say whether it should be fixed, restructured, or killed.
View journeyLegacy Modernization
A company with a 10-20 year old estate — monoliths, legacy platforms, half-finished migrations — needs AI capabilities, but every initiative stalls on integration complexity. Vendors pitch solutions that assume modern APIs and clean data. Neither exists.
View journeyReady to start the Second Opinion journey?
Book a 30-minute discovery call. We will listen to your situation and confirm the right starting point — no commitment required.