AI and emerging tech conversations for business. Presented by HSO and hosted by Fraser Paine, Head of AI, and Nathan Bregmen, this podcast helps CIOs, CTOs, and COOs turn ambition into outcomes. Each episode cuts through hype with plain-English definitions, maturity models, and real-world lessons, from data platforms and governance to agents, Copilot, and change management. Expect practical playbooks you can take to your next steering meeting: how to scope value, align with the CEO, build on solid data foundations, measure adoption and ROI, and ship safely at scale. No buzzword bingo, just what works, why it works, and how to implement it in large enterprises and ambitious mid-market teams.
Redefining Responsible AI: Creativity, Culture, and Data Sovereignty
Kiwa, winners of the HSO People’s Choice Award, join Deliver Next to share how they are redefining responsible AI. CEO Steven Renata explains how Kiwa became a global leader in dubbing with VoiceQ and why their approach focuses on enhancing creative talent rather than replacing it.
We also explore CultureQ, Kiwa’s groundbreaking platform for data sovereignty and Indigenous knowledge preservation. Steven discusses how private, community led AI can protect language, identity and cultural stories while building trust with the people it serves.
This episode offers essential insights for leaders navigating AI governance, creative automation, ethical innovation and long term digital strategy. A must-watch for CIOs, CTOs, COOs, CEOs and transformation leaders.
#AI #EthicalAI #DataSovereignty #AIForGood #DigitalTransformation #VoiceQ #CultureQ #EnterpriseAI
9 Nov 2025
Building an AI Ready Data Platform
Discover why your organization’s data platform isn’t the same as your AI platform, and how to build a modern architecture that is truly AI‑ready.
In this episode of Deliver Next, Fraser Paine (Head of AI at HSO) and Jourdan Templeton (HSO CTO) unpack the evolution from traditional data warehouses to modern data lakehouse platforms that serve analytics, real‑time applications and AI workloads.
They explain what drives multi‑million dollar data platform investments, how to manage sensitive and unstructured data at scale, and why data governance and consistent schemas are critical.
You’ll learn the difference between a data platform and an AI platform, plus how AI platforms set standards for deployment, cost control, security and compliance.
The discussion highlights how generative AI can be embedded in ETL pipelines to clean, structure and enrich call‑center transcripts and free text, unlocking new insights from unstructured data.
Fraser and Jordan also share practical strategies for migrating from on‑prem systems to cloud lakehouses, including mirroring versus full migration, and why a modern platform might be the last major migration you need.
For leaders planning digital transformation, they outline how to start small - running pilot AI projects on specific datasets to build capability and prove ROI. You’ll hear how modular data architectures enable continuous innovation without disrupting the business, and how AI integration turns data from a cost center into a competitive advantage.
#DataPlatform #AIPlatform #ModernDataPlatform #DigitalTransformation #CloudMigration #GenerativeAI #AIIntegration #DataGovernance #FutureTech #TechTrends #MachineLearning #Innovation #DataScience
12 Oct 2025
AI in ERP: Why Data and Process Come Before Tech
In this episode of Wesley’s ERP podcast, HSO’s Nathan Bregmen sits down with Wesley Nelson (ANZ Service Line Director) to reveal why successful AI/ERP transformations start with people, process and data – not technology.
They discuss quick wins like month‑end close automation and supplier‑communication agents, explore how AI scheduling can free up manufacturing teams, and share proven KPIs and ROI benchmarks. Wesley explains why transformation is about enhancing culture instead of replacing it, and how to design your ERP for the next 5–10 years.
What you’ll learn:
• Data & process first: Learn why AI projects fail when data is dirty and processes aren’t mature
• Wesley’s journey from end‑user to consultant shows how cleaning data and mapping processes unlock AI benefits.
• Quick wins: Hear real examples of automating month‑end close, implementing supplier‑communication agents and using AI co‑pilots to speed up approvals
• AI for operations: Discover how autonomous scheduling agents could transform manufacturing and professional services – and why they need good data to work.
• Measuring ROI: Use industry KPIs (DSO, inventory aging, month‑end cycle time) to track success and justify investment
• Future‑proofing: Understand how to build ERP systems for the next decade, without losing your company’s unique culture.
Join the conversation! What’s your biggest challenge with AI and ERP? Tell us in the comments and we’ll feature some responses in our next episode.
#AI #DigitalTransformation #ERP #BusinessAutomation #DataAnalytics
24 Sept 2025
AI That Saves Millions: How to Win at ROI
Fraser Paine, Head of AI at HSO, talks with Nathan Bregmen (HSO’s Marketing Manager) about real-world AI adoption. Learn why most AI pilots fail and how to flip the odds; discover when simple code beats AI and where generative AI “just works”; and hear case studies on call‑centre automation and Techion’s precision agriculture transformation.
What you’ll learn:
How to calculate AI ROI and balance cost savings vs revenue growth
The top mistakes companies make (using a bazooka to kill a fly) and how to choose the best AI for business
Practical tips on AI data platforms, change management, and executive buy‑in.
Keywords: AI ROI, AI adoption roadmap, best AI for customer service, call centre AI, generative AI case study, AI cost savings vs revenue growth, AI business strategy,
1 Sept 2025
A CTO's Guide to Agents
“Agents” are everywhere—but most enterprise pilots still stall. In this HSO episode, we cut through the hype and give you a workable playbook. Our guest, Fraser Paine (Head of AI & Global Pursuits, HSO), defines what an agent really is, maps the maturity curve from Level 1 (call-and-response) to Level 3 (orchestrators), and introduces the Three T’s—Tasks, Tools, Triggers—so you can diagnose where you are and what to build next. We unpack why 95% of pilots fail (hint: culture and adoption, not just model accuracy), and how to flip your approach: don’t buy AI—hire it, onboard it like a new team member, and iterate in sprints with measurable checkpoints. We close with a pragmatic look ahead at domain-specific models and what that means for your 12–18 month roadmap.
You’ll learn:
A practical definition of AI agents and a clear L1 → L3 maturity model.
The Three T’s framework to design, scope, and govern agents.
Why adoption beats accuracy—and how to avoid the “HR bot with 10 PDFs” trap.
An iteration plan to climb from 60% → 85–90% satisfaction (and how to measure it).
How to align CTO/CIO + CEO to remove change-management roadblocks.
What’s next: domain-specific models and where to place your bets.
Perfect for: Leaders moving from proof-of-concept to production who want agents that ship value, not slideware.
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