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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 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 15, 20252 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 8, 20251 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 1, 20251 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 24, 20251 min read
License to Operate: Using Compliance to Expand, Not Delay
Compliance isn’t paperwork — it’s a growth engine. Build governance in from day one and regulation becomes market access, speed, and credibility.
Samuel
Jun 17, 20251 min read
The Fluency Gap: Where Capability Becomes Competitive Advantage
The AI fluency gap decides winners — fluent teams embed systems thinking, adapt fast, and compound advantage while laggards institutionalise delay.
Samuel
Jun 3, 20251 min read
From Literacy to Fluency: Teaching Work, Not Just Tools
AI maturity isn’t literacy — it’s fluency. Fluent teams redesign workflows, act faster, and think with AI, turning adoption into advantage.
Samuel
May 20, 20251 min read


Value Starts at the Workflow: Aligning Spend With Behavioural Change
AI value isn’t in ambition or models — it’s in changed behaviour. Without workflow impact, investment is wasted cost, not return.
Samuel
May 6, 20251 min read
Beyond the EU: Anticipating the Global AI Governance Landscape
Global AI regulation is converging fast — firms that design forward-compatible compliance systems gain speed, trust, scale, and reputational advantage.
Samuel
Apr 4, 20251 min read
Risk-Tiered Thinking: A Smarter Way to Manage Innovation
Risk-tiered governance is the only scalable path — match oversight to consequence, or waste time on trivia and miss critical exposures.
Samuel
Apr 1, 20251 min read
Trust Through Transparency: Showing the System’s Work
Transparency isn’t optional — it’s the adoption engine. Show reasoning, confidence, and change at the decision point, or users withhold trust.
Samuel
Mar 11, 20251 min read
Designing for Auditability: What Good Looks Like at Scale
At scale, auditability is non-negotiable — without traceable, explainable AI decisions, organisations face risk, eroded trust, and inevitable shutdown.
Samuel
Mar 4, 20251 min read
Usage Is Rational: Why Teams Ignore Tools That Don’t Fit
AI isn’t rejected out of fear but logic — if it slows work, it’s ignored. Real adoption comes only from usefulness.
Samuel
Feb 25, 20251 min read
The Governance Flywheel: Embedding Safety Into Speed
The governance flywheel turns safety into speed — a self-improving system where oversight, trust, and adoption compound into strategic advantage.
Samuel
Feb 21, 20251 min read
From Policy to Practice: Building Cross-Functional Guardrails
AI governance only works when it’s lived, not documented — built into workflows, co-designed across teams, and reinforced through daily operations.
Samuel
Feb 11, 20252 min read
Accountability at the Top: Where AI Ownership Belongs
AI governance without ownership is abdication — real maturity demands executive accountability, visible leadership, and business-led responsibility for outcomes.
Samuel
Feb 7, 20251 min read
Safe to Try: Creating Permission for Exploration
AI adoption fails when teams don’t feel safe to use it — trust grows only in cultures that reward experimentation, not compliance.
Samuel
Feb 4, 20251 min read
The AI Trust Gap: Why Confidence Breaks Below the C-Suite
AI adoption fails without trust — executives may fund tools, but until employees find them usable and safe, transformation stays fantasy.
Samuel
Jan 31, 20251 min read
Governance as Differentiator: Competing Through Confidence
Governance is no longer compliance — it’s competitive edge. The firms that operationalise trust will win markets others can’t even enter.
Samuel
Jan 24, 20251 min read
Real-Time Governance: Monitoring AI Without Stalling It
Real-time governance replaces static oversight — embedding continuous monitoring, feedback, and trust signals so AI can perform safely at full speed.
Samuel
Jan 17, 20251 min read
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