<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"><channel><title>Reimea Insights</title><link>https://www.reimea.com/insights/</link><description>AI agent governance, human oversight and audit for regulated organisations.</description><language>en-gb</language><lastBuildDate>Sun, 18 Oct 2026 09:00:00 +0100</lastBuildDate><item><title>Why every AI agent needs a control layer</title><link>https://www.reimea.com/insights/ai-agent-control-layer.html</link><guid>https://www.reimea.com/insights/ai-agent-control-layer.html</guid><pubDate>Sun, 18 Oct 2026 09:00:00 +0100</pubDate><description>AI agents are ready for regulated work. What decides whether they reach production is identity, policy, approval and evidence: the control layer.</description></item><item><title>Human oversight of AI agents that actually works</title><link>https://www.reimea.com/insights/human-oversight-ai-agents.html</link><guid>https://www.reimea.com/insights/human-oversight-ai-agents.html</guid><pubDate>Sun, 18 Oct 2026 09:00:00 +0100</pubDate><description>&quot;Human in the loop&quot; is easy to promise. How to design approval of AI agent actions that staff can sustain and auditors can trust.</description></item><item><title>Source-attributed care records: showing the gaps</title><link>https://www.reimea.com/insights/source-attributed-care-records.html</link><guid>https://www.reimea.com/insights/source-attributed-care-records.html</guid><pubDate>Sun, 18 Oct 2026 09:00:00 +0100</pubDate><description>A shared care record should show where each item came from, when, and what it cannot see. The design thinking behind Reimea Exchange.</description></item></channel></rss>
