이 에피소드에 관해
Your people are already using AI. The question is whether your business has the visibility, governance and support needed to make that usage safe, productive and scalable.In this conversation, Brendan Ritchie and Jack Behrns discuss how Hatz fits into the CORE managed services model, and why it is a strong option for businesses that already have staff experimenting with different AI tools.Unlike choosing a single AI platform and hoping it stays ahead, Hatz gives users access to multiple leading AI models through one secure, governed interface. That means finance, marketing, operations and leadership teams can use the models that work best for their roles, while the business keeps oversight, control and confidence around data use.They also cover how Hatz supports AI adoption, why the platform can be more cost-effective than individual AI subscriptions, and how CORE helps businesses turn AI from scattered experimentation into a managed, measurable productivity strategy.If your business is thinking seriously about AI, automation, data governance or secure adoption, CORE gives you the operating model to make it work.Learn more about CORE: https://www.firstfocus.com.au/services/core/Key Chapters:00:00 – Why Hatz matters inside COREBrendan and Jack introduce Hatz as one of the AI platform choices available through CORE, alongside ChatGPT Business and Microsoft Copilot.00:35 – Hatz vs ChatGPT and CopilotJack explains how Hatz suits businesses where different teams are already using different AI models, and how it brings that usage into a secure, governed environment.01:49 – Solving shadow AI without limiting usersThe discussion covers why businesses do not need to pick one winning LLM, and how Hatz lets staff keep flexibility while giving the organisation visibility and control.03:16 – What the Hatz user experience looks likeJack walks through the interface, onboarding experience, AI champion certification, and why users familiar with ChatGPT, Claude or other AI tools should feel at home.05:28 – Why Hatz can be more cost-effectiveThey unpack the commercial model, including pooled AI credits, enterprise buying power, token usage and why this can deliver AI access at SMB-friendly pricing.
