Guardrails, Open Models, and the Infrastructure Squeeze

In today’s episode of AI in Flow, hosts Claire and Peter cover a fast-moving mix of enterprise adoption and real-world constraints. They unpack Omni HR’s native MCP integration and what it means for permissioned, auditable AI in HR workflows; Australia’s new public-sector guardrails for automated decisions and why vendors should treat governance as commercial table stakes; and Deloitte’s finding that 73% of UK CFOs now expect AI to lift performance—shifting the conversation toward measurable ROI.They also look at rising competition from Chinese labs, including Moonshot AI’s Kimi K3 momentum (and the capacity crunch that paused new subscriptions) plus Alibaba’s Qwen 3.8, and what open-weight models could mean for cost, flexibility, and compliance. Rounding out the briefing: agentic smartphones that act across apps, why partnerships may determine whether agents truly take off, and a sobering theme for the whole industry—AI’s next bottlenecks are increasingly power, capital, and efficient inference, not just model quality.About Six & FlowSix & Flow is a digital transformation consultancy helping businesses adapt, grow, and thrive in a fast-changing world. We specialise in AI, CRM, and revenue operations, blending strategy, technology, and creativity to deliver measurable impact. From scaling startups to global enterprises, we partner with ambitious teams to unlock growth through smart automation, customer-centric marketing, and forward-thinking sales enablement. Learn more at sixandflow.com. Hosted on Acast. See acast.com/privacy for more information.