Human-in-the-loop AI: who should approve what an AI agent does
Decide which agent actions need human-in-the-loop AI, who should approve them and how to enforce approval through identity controls.
Ideas grounded in engineering.
Practical writing on AI systems, the controls around them and the work of bringing them into a business.
Insights
6 articles
Choosing an AI Engineering Partner for Regulated Work
Questions to ask about scope, data access, evaluation, professional review and operating responsibility before selecting an AI partner.
Managing AI Requirements Across Jurisdictions
How to maintain a common engineering control set while assessing the laws and operating requirements that differ by organisation and use case.
EU AI Act: A Practical Scoping Guide for AI Projects
Understand the organisation’s role, use-case classification, current application dates and the evidence an engineering team needs to prepare.
Designing Human Approval into AI Workflows
How to make approval a specific, inspectable decision rather than a generic checkbox after a model response.
PIPEDA and AI Agents: Make the Data Flows Visible
Map personal information across prompts, retrieval, tools and logs so privacy obligations are assessed against the real AI workflow.