Case studies: AI, data & software in production
Work that earns its keep. Written up, not pitched.
Detailed accounts of the systems we have delivered: the operational challenge, the architecture, the implementation and the evidence behind each result.
Specific components, workflows and boundaries — enough detail for a technical reader to assess the implementation and for an operator to understand its practical value.
Why each component was designed as it was, the constraints that shaped it and the trade-offs made across security, reliability, maintainability and delivery.
We publish measured results only when the underlying evidence can be shared responsibly. Where that is not possible, we present the system and its verified operating characteristics directly.
The client approves the scope, wording and evidence before publication. Confidential work remains confidential.
Published engagements.
Showing 1 case study
The collection currently includes one published engagement. Additional studies will be added when the work can be documented in detail and the client has approved publication.
Work across the full system.
Our case studies span software engineering, data and analytics, artificial intelligence and tech consulting.
Each engagement uses the combination required by the operating model, technical constraints and intended outcome. If the appropriate architecture is still unclear, technical advisory establishes the investment case and delivery sequence before implementation begins. What is tech consulting? explains how that work continues through delivery and operation.
Frequently asked questions
How many case studies are there?
The collection currently includes one published study: the integrated operations platform delivered for Starline Scholars. Additional work will be added when a client has approved publication.
What kind of work gets written up here?
Projects spanning software engineering, data, artificial intelligence and tech consulting. Each study documents the operational challenge, the architecture selected for it, the delivered system and the evidence available.
Would our project be published?
Only with your approval. We agree the scope, wording and evidence with each client before publication; confidential work remains confidential.
Discuss a comparable challenge.
Tell us where the current operation is constrained. We will assess the fit, outline the relevant approach and explain what a first engagement would involve.