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Strategy Articles

Expert insights and practical guidance on strategy from the #sharp team.
Can AI really transform global healthcare systems?

By The #sharp Team • June 13, 2026

AI promises to rescue healthcare — hand clinicians their time back, catch disease earlier, widen access. Separating what AI is already doing from what is still a forecast, and the data, bias and governance risks that decide whether a healthcare AI project lasts.

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Your phone's two biggest rivals just teamed up - and transformation teams should be paying attention

By The #sharp Team • June 9, 2026

On 8 June Apple unveiled the next Apple Intelligence — built in collaboration with Google and its Gemini models. Three strategic decisions every transformation leader is about to face: buy the engine, own the experience, and design privacy in from the start.

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AI Strategy Implementation Guide

By Loreen • May 26, 2026

AI capability is massively increasing, yet implementation lags behind. Read our phased, outcome-led guide to moving from board-level ambition to embedded operational change, across discovery, data readiness, pilot design, scale, and measurement.

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Customer Experience Optimisation

By Janos • May 26, 2026

Customer experience is too often reduced to a single NPS number. Peep our practical guide to the journey-and-handoff view of CX — the maturity arc, mapping moments of truth, personalisation that earns trust, the handoffs where experience breaks, and measurement beyond the score.

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Data-Driven Decision Making

By David • May 26, 2026

Most organisations are data-rich but this invaluable resource is often under-utilised and misunderstood. So here's a practical guide to closing the gap between dashboards and decisions. From data maturity, trustworthy pipelines, decision ownership to velocity, visualisation that drives action, and measuring "data-driven" actions.

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Capability Is Outpacing Reliability: Reading the Latest Stanford AI Index

By Loreen • May 23, 2026

The latest Stanford AI Index shows AI capability accelerating far faster than reliability, governance, or human readiness — and what that means for businesses moving from experimentation to dependable, governed deployment.

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Three rules for shipping AI features without losing trust

By Loreen • May 20, 2026

A field note on the smallest set of guardrails that keep AI-assisted features useful, honest, and accountable.

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The OpenClaw Paradox: Hype in China, Caution in Policy and What It Means for AI Governance

By #sharp Security Expert • May 15, 2026

China is not rejecting AI agents, but its OpenClaw guidance treats them as high-risk operational systems. What the policy signal means for agentic AI governance.

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