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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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When AI Cracks the Hard Problems: From Benchmarks to Breakthrough
AI has evolved from pattern recognition to reasoning — systems that think, verify, and self-correct. Advantage now belongs to organisations mastering judgement with machines.
Samuel
Dec 2, 20251 min read
Inside the Black Box: How Reasoning Models Work Under the Hood
Reasoning AI replaces intuition with deliberation — tracing logic, testing alternatives, verifying outcomes. The winners will align human and machine reasoning to make better, explainable decisions.
Samuel
Nov 25, 20251 min read
Regulation as Differentiator: How Transparency Builds Buyer Trust
Transparency sells. The firms proving governance, not just claiming it, turn compliance into confidence — and confidence into competitive advantage.
Samuel
Nov 18, 20251 min read
Operationalising Compliance: Embedding Auditability Into the Build
Auditability turns compliance from paperwork into proof — embedding traceability, accountability, and confidence directly into AI system design.
Samuel
Nov 11, 20251 min read
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 4, 20251 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 28, 20251 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 21, 20251 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 14, 20251 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 7, 20252 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 3, 20251 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 26, 20252 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 19, 20251 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 12, 20252 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 4, 20252 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 28, 20251 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 19, 20251 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 12, 20252 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 8, 20252 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 29, 20251 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 22, 20252 min read
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