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#FindCurious is a podcast and blog for those who believe in the potential of better and are willing to chase their curiosity to ask the awkward questions, share failures, and dig deep(ish) as we examine data strategy, innovation and optimising knowledge-work.
Join us as we explore the challenges and rewards of pushing past easy-answers.
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The New Normal: Why Regulatory Readiness Is a Strategic Asset
Regulation has arrived. Compliance is no longer optional — operational readiness is now the advantage that separates momentum from paralysis.
Samuel
Nov 41 min read
From Mandate to Muscle: Embedding AI Into Daily Work
AI transformation isn’t declared — it’s practiced. Real change happens when AI becomes muscle memory, embedded seamlessly in daily decisions and workflows.
Samuel
Oct 281 min read
Fluency Over Literacy: Teaching People, Not Systems
AI maturity isn’t about technical literacy — it’s about fluency. Teach people judgment, context, and confidence, not just prompts and clicks.
Samuel
Oct 211 min read
Designing Adoption Around Roles, Not Features
AI adoption fails without context — success comes from designing around real workflows, user needs, and operational fit, not technical capability.
Samuel
Oct 141 min read
Human-Centred Ops: Designing AI That Teams Actually Use
AI integration fails without human-centred design — systems must fit workflows, reinforce agency, and reflect user context to drive real adoption.
Samuel
Oct 72 min read
Feedback as Fuel: Building Learning Loops Into Every System
Installed AI predicts once. Integrated AI learns continuously — embedding feedback loops that turn static output into evolving, trusted intelligence.
Samuel
Oct 31 min read
Decision Design: Connecting Insight to Action in Real Time
Integration without decision design is theatre — real value comes when AI delivers the right signal, at the right moment, to action.
Samuel
Sep 262 min read
Cross-Functional Buy-In: Turning AI Into an Organisational Asset
AI only delivers value when it’s cross-functional — designed, owned, and operated collaboratively across data, product, ops, and compliance.
Samuel
Sep 191 min read
Role-Specific Enablement: One Size Doesn’t Equip All
Generic AI training stalls. Role-specific fluency accelerates — teaching teams how AI reshapes their job turns adoption into outperformance.
Samuel
Sep 122 min read
Orchestration Over Adoption: Aligning Tools With the Way Work Flows
Adoption is superficial — orchestration is transformative. Real AI value comes when tools embed in workflows, align decisions, and scale systemically.
Samuel
Sep 42 min read
Stack vs. System: What Scalable Architecture Really Requires
AI stacks don’t scale — systems do. Without deliberate architecture, tools fragment, insights stall, and performance collapses under fragile sprawl.
Samuel
Aug 281 min read
Learning as Infrastructure: Building Team-Level Feedback Loops
AI fluency isn’t trained once — it’s earned through iteration. Feedback-driven teams compound learning, spreading better workflows and raising collective performance.
Samuel
Aug 191 min read
It’s Not About Job Loss. It’s About Team Performance
AI disruption isn’t job loss — it’s performance divergence. Fluent teams outpace laggards, compounding advantage through sharper decisions and faster execution.
Samuel
Aug 122 min read
Measuring What Matters: Linking AI to Business KPIs
Unused AI is wasted capital — maturity comes when systems tie directly to core KPIs, proving business value and compounding returns.
Samuel
Aug 82 min read
Redesigning Workflows: Moving From Tasks to Leverage
AI leverage comes from redesign — not automation. High-performing teams restructure workflows around human value, making work faster, clearer, smarter.
Samuel
Jul 291 min read
Beyond Adoption: Building Teams Who Improve the AI They Use
Adoption is halfway. Advantage comes when teams shape AI — feeding back, refining workflows, and compounding capability into indispensable infrastructure.
Samuel
Jul 222 min read
The Infrastructure Layer: Why Data Quality Isn’t Optional
AI doesn’t fail on algorithms — it fails on foundations. Without trusted, governed data infrastructure, scale collapses and credibility evaporates.
Samuel
Jul 152 min read
From POC Obsession to Platform Thinking
AI maturity means escaping the POC trap — shifting from one-off experiments to scalable, governed platforms that deliver repeatable business impact.
Samuel
Jul 81 min read
Chasing Tools, Losing Value: The Cost of Misaligned Investment
AI success isn’t about spending more — it’s about spending precisely. Align investment to workflows, not promises, to create real impact.
Samuel
Jul 11 min read
The Spending Surge: Why AI Budgets Aren’t Translating Into Results
AI budgets are rising but impact is flat — because deployment isn’t value. Real returns come from workflow integration and measurable outcomes.
Samuel
Jun 241 min read
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