EPISODE · Jun 6, 2026 · 10 MIN
Fast, Safe AI In 2026
from The Digital Transformation Playbook · host Kieran Gilmurray
Speed without control is borrowed time and 2026 just started the countdown. We unpack a practical playbook for AI governance that helps teams move faster while meeting the rising bar on safety, accountability, and compliance across the UK, EU, and US.TLDR / At A Glancethe speed–safety paradox and why clarity winsregulatory shifts in the US, UK and EUshadow AI risk and the need for discoveryrisk tiering that matches control to impactmachine-speed controls for access, data and monitoringcross-functional roles, stress tests and routinespractical foundations for predictable approvalsWe start by breaking down the speed–safety paradox: tools ship overnight, employees adopt them in hours, and traditional control gates buckle under constant change. Rather than slowing delivery, we show how clear guardrails become accelerators. You’ll hear why a living AI inventory is the first deliverable, how to write plain-language acceptable use rules that cut negotiation time, and where many organisations lose control by assuming they already have it.From there, we map the regulatory squeeze shaping decisions right now: US momentum toward lighter-touch national alignment alongside new state-level obligations, UK calls for faster oversight and AI stress testing, and EU AI Act timelines that make transparency and risk management non-negotiable. We translate those pressures into concrete steps: risk tiering that aligns review depth to impact, machine-speed controls like least-privilege access, masking and tokenisation, centralised logging, and real-time anomaly alerts that can block unsafe actions before they become incidents.Finally, we make governance operational. Fast, safe AI needs cross-functional roles with clear decision rights, repeatable processes, and service levels that keep work flowing. Think central oversight platforms, continuous monitoring, stress tests modelled on cybersecurity, and a culture where compliance is built into code patterns, not stapled on at the end. By the close, you’ll have a crisp foundation to implement now—inventory, tiering, acceptable use, and enforcement—that turns governance into the way you say yes quickly and confidently.If this helped reframe your approach, follow the show, share it with a colleague who owns AI delivery, and leave a quick review telling us which control you’ll implement first.Support the showIf you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect. 🌎 Website: www.KieranGilmurray.com📅 Book a call: https://calendly.com/kierangilmurray/catch-up📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK AI Transparency Notice: This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.
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Speed without control is borrowed time and 2026 just started the countdown. We unpack a practical playbook for AI governance that helps teams move faster while meeting the rising bar on safety, accountability, and compliance across the UK, EU, and US. TLDR / At A Glance the speed–safety paradox and why clarity winsregulatory shifts in the US, UK and EUshadow AI risk and the need for discoveryrisk tiering that matches control to impactmachine-speed controls for access, data and monitoringcross...
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Fast, Safe AI In 2026
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