Strategy

Strategy12 Aug 2026 · 4 min read

The Key Players in Setting Strategy

Who must be in the room when strategy is set — the decision-maker, the implementers and an outside facilitator — why commitment follows involvement, and how to create the right …

Strategy12 Aug 2026 · 4 min read

Five Questions in Strategic Planning

Why you set a strategy and how you build one — the four reasons to plan and the five sequential questions (where am I now, how did I get here, where do I want to be, how do I ge…

Strategy12 Aug 2026 · 4 min read

The Seven Principles of Effective Strategy

The seven military principles behind Alexander's victory at Gaugamela — objective, offensive, mass, manoeuvre, concerted action, surprise and exploitation — translated into a wo…

Strategy12 Aug 2026 · 9 min read

Strategy Lessons from Alexander the Great

How a 331 BC battlefield became the finest masterclass in business strategy — objective, concentration of force, surprise and decisive execution, told through Alexander at Gauga…

A Brief History of AI and Its Strategic Future

Trace AI from symbolic systems to deep learning and use emerging capability themes to plan realistic business scenarios without relying on hype.

AI for Internal Operations and Quality Management

Apply AI to facility design, day-to-day operations and quality control through clear use cases, safe integration and measurable operational outcomes.

AI for Supply-Chain Networks and Digital Twins

Use AI and digital twins to improve supply-chain visibility, forecasting and scenario response while controlling data, model and execution risks.

AI Hypersegmentation and Personalisation Strategy

Design AI-enabled segmentation and personalisation using clear objectives, meaningful features, testable treatments, privacy controls and incremental measurement.

AI Workforce Impact and Transition Planning

Assess AI’s impact at task level and create a practical transition plan for augmentation, substitution, new work, reskilling and responsible change.

Algorithmic Bias: Risk Controls and Fairness Audits

Control algorithmic bias through representative data, proxy analysis, subgroup evaluation, fairness review, governance and continuous monitoring.

Building a Robust Data Pipeline for AI

Build an AI-ready data pipeline covering consistency, relevant features, missing data, bias, dataset scale, ownership and operational controls.

Strategy12 Aug 2026 · 11 min read

Continuous Improvement and Mastery Through Habits

A handbook for turning habit systems into a long-term improvement cycle that combines fit, repetition, challenge, feedback, reflection and identity-based direction.

From AI Ideas to Action: Business Strategy Implementation Playbook

Move from AI ideas to governed implementation using opportunity selection, data readiness, experimentation, operating-model design and responsible scaling.

How Google Used AI to Create User Value: A Strategy Case Study

Study three historically grounded Google AI applications and extract a reusable framework for linking AI capability to customer and business value.

Machine Decision-Making and Moral Dilemmas

Govern autonomous and AI-assisted decisions by defining authority, values, risk boundaries, escalation, contestability and multidisciplinary oversight.

Machine-Learning Methods: A Business Selection Guide

Choose among supervised, unsupervised and reinforcement learning by matching the learning signal, decision structure and available evidence to the business task.

Strategy12 Aug 2026 · 5 min read

Responsible AI in Human Resource Management

Use AI responsibly across recruitment, learning, performance and promotion with human review, fairness testing, privacy controls and appeal pathways.

Strategy12 Aug 2026 · 11 min read

Systems Over Goals: Designing Repeatable Progress

A handbook for shifting from outcome fixation to repeatable systems, including how to design inputs, operating routines, feedback and continuous improvement around a desired dir…

Training and Validating an AI Model

A practical handbook for separating training, validation and testing; controlling overfitting; selecting metrics; and preparing a model for deployment.

Using AI for Deeper Market Research

Use natural-language and visual analysis to extend market research while preserving research design, provenance, consent and human interpretation.

Using AI to Drive Product Innovation

Apply AI as a product feature or development tool using opportunity framing, data feasibility, human-centred design, validation and lifecycle governance.

What Is Artificial Intelligence? A Business Leader’s Guide

Understand artificial intelligence, narrow AI, machine learning capability and the practical questions leaders should ask before calling a system intelligent.