Amazon, the e-commerce behemoth, has admitted that extensive use of AI coding tools is causing significant outages across its core retail and AWS businesses.

The Story
They've linked these incidents to "Gen-AI assisted changes" and a lack of established best practices, now requiring senior engineers to sign off on AI-generated code.
Why It Matters
For your 10-50 person law firm, accountancy, or consultancy, this isn't just a "big tech" problem. It means that pushing AI adoption without clear governance, human oversight, and established best practices—even for seemingly minor tasks—can lead to costly errors and reputational damage. Speed without control is a dangerous gamble, regardless of your company size.
What To Do About It
My advice is simple: before you even think about scaling AI tools, focus on robust AI governance. Implement a "human-in-the-loop" policy for any AI-generated output, especially client-facing work or internal critical processes. I recommend starting with a pilot project in a low-risk area, defining clear review protocols, and training your team on *when* to trust AI, not just *how* to use it.
Related Signals
A WatchGuard survey of 684 SMB employees across the US, UK, Germany, France and Spain found 64% use unauthorized AI tools at work, and fewer than 3 in 10 employers can accurately track what software staff actually run.
30 Jul 2026Microsoft cut AI agent security out of standard Defender licenses on 1 July.
30 Jul 2026CoreView's July 2026 governance report finds two-thirds of organizations have delayed or cancelled Microsoft Copilot rollouts over fear it will surface overshared SharePoint files.
29 Jul 2026