Inside an AI risk platform build the build, end to end
A recorded walkthrough of how we designed, built and handed over an AI risk management platform in Saudi Arabia.
What this covers.
The engineering lead walks through the architecture, the decisions that were reversed, and how the platform was handed to the client's own team. It covers the data model, retrieval and scoring layers, the review workflow, and what changed once real risk officers used it.
Architecture walkthrough
Screen-by-screen through the data, retrieval, scoring and review layers.
Decisions we reversed
Two design choices that did not survive contact with users, and what replaced them.
Handover
How ownership moved to the client team, and what documentation made that possible.
Section by section.
Problem framing
What the risk team needed and why spreadsheets had stopped working.
Architecture
The platform layers and the reasoning behind each.
User testing
What changed after risk officers used it for a fortnight.
Handover and run
Documentation, training and the support model after go-live.
Three things you can act on.
- A realistic view of an AI build beyond the demo
- The design decisions that mattered most
- What a clean handover to an internal team requires
The detail before you ask for it.
Format
Video · Video · 34 minutes
Category
AI engineering
Extent
34 minutes
Written for
Engineering and risk leaders
Level
Practitioner
Language
English
Published
2026-04-02
Author
Lucidspire IT Services practice
Practices behind this resource.
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Inside an AI risk platform build
A recorded walkthrough of how we designed, built and handed over an AI risk management platform in Saudi Arabia.
Video · 34 minutes
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