Case studies
Architecture judgment.
In its actual context.
AI systems, AI-built software, due diligence, modernisation and platform consolidation. Each case study sets out the situation, the architecture question and the recommendation.
Buy-side AI/ML diligence contribution
AI and architecture input to buy-side technical due diligence: do the software and AI behind an investment case hold up?
Read the case studyCore insurance platform modernisation
Architecture for core insurance platforms, their modernisation and the business workflows they run.
Read the case studyPost-merger banking platform consolidation
Consolidating banking platforms after a merger: overlapping platforms, legacy workflows and a move that keeps the bank running.
Read the case studyEnterprise AI platform delivery
Leading a multi-agent platform for legacy code analysis and modernisation, from the first proof of concept to production.
Read the case studyEnterprise architecture assessments
Architecture assessments and design across enterprise programmes and technology choices.
Read the case studyAI strategy and readiness assessments
Testing AI opportunities against the enterprise systems, data and delivery limits they depend on.
Read the case studyTargeted hardening for a live AI-built platform
A product with paying customers needed an independent view before a larger commercial commitment. We found sound foundations and seven risk patterns, and recommended targeted, sequenced hardening rather than a rewrite.
Read the case studyDeepCrew architecture-intelligence research
Our founder's own research into connected software knowledge and multi-agent approaches to understanding systems.
Read the case studyFacing a similar decision?
Tell us about the system, the decision and what is changing. 25 minutes on Teams, no preparation needed.