Context
AI workflow
Evaluation
Financial services / Applied AI
LSEG: AI programme transformation
Development workflows supported by generative AI.
18-20% reported productivity improvement*
Read existing case studySoftware / Applied AI / Delivery
Complex ideas,
measurable
outcomes.
From first idea to production: ideation, solution design and productionizing, delivered against pre-agreed, measurable outcomes.
Pre-agreed, measurable outcomes Milton Keynes, UK
An illustrative system, from idea to operation01 / Selected work
From possibility to practice.
Events
Services
Scale
Financial services / Cloud
Schroders: Serverless migration
A serverless solution for fraud and financial crime.
20% reported cloud cost reduction*
Read existing case study*Reported on the existing website and not independently verified. Role, baseline, measurement method and attribution require confirmation.
02 / How we work
Idea to operation, in three stages.
Ideation
Solution design
Productionizing
01
Ideation
Simplify a complex idea into a clearly defined problem, with success measures agreed up front.
Discovery, framing, feasibility, agreed measures.
02
Solution design
Map the software, data flows, roadmap and evaluation approach to meet those measures.
System design, data flows, evaluation criteria, delivery plan.
03
Productionizing
Build, integrate and hand over a solution that works in production and can be measured there.
Build, integration, evaluation, support and handover.
Applied AI, cloud and software engineering capabilities sit inside these stages, not beside them.
03 / The promise
Outcomes you can hold us to.
Every engagement starts by agreeing what success looks like and how it will be measured. The work then moves through the three stages, and the result is checked against what was agreed.
Confirm the delivery model and who delivers before publication.
Agree
Define the outcome and how it will be measured, before work begins.
Deliver
Move through ideation, solution design and productionizing.
Measure
Check the result against what was agreed, then hand over.
04 / Insights
Thinking worth sharing.
Engineering / Jul 2026
Better context for agentic code review
Read existing articleApplied AI / Implementation
Building an intelligent multi-agent system
Explore the article05 / Let's talk
What should your next system achieve?
Tell us what you are working on and where you need clarity.
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