Insights for leaders who ship
Plain-language thinking on AI strategy, ROI and implementation, written for CXOs and senior teams, not data scientists.

15 Sept 2026, 8 min read
The CXO's Guide to AI Strategy: Where to Start in 2026
A practical, value-first AI strategy for CXOs: a five-step framework, a governance model that does not slow you down, and a concrete plan for your first 90 days.

How to Measure AI ROI: KPIs That Actually Matter to the Board
Boards want AI results, not activity. Here is how to build a KPI tree, set baselines, balance leading and lagging indicators and report AI ROI with confidence.

AI in Operations: 7 High-Value Use Cases for Mid-Size Companies
Seven practical AI use cases in operations, from demand forecasting to procurement, with the problem each solves, the data it needs and the effort it typically takes.

AI for Sales Teams: From Lead Scoring to Revenue Forecasting
A practical guide to AI for sales teams: lead scoring, call summarisation, next-best-action, forecasting and CRM hygiene, plus the data you need and a rollout plan.

Build vs Buy vs Partner: Choosing the Right AI Integration Path
A practical decision matrix for leaders choosing whether to build AI in-house, buy an off-the-shelf tool, or partner with specialists, plus the hybrid patterns that usually win.

AI Readiness Assessment: A 10-Point Checklist for Leadership
A 10-point AI readiness checklist for leadership teams, with a 1–5 scoring rubric and clear next steps for every score band.

Workflow Automation with n8n and AI: A Practical Case Study
How we used n8n to automate weekly inventory replenishment for an e-commerce seller, and where AI can extend a workflow like this.

Why AI Projects Fail (and How Leadership Can Prevent It)
Most AI projects fail for business reasons, not technical ones. Here are the seven common causes and a practical prevention playbook for leadership.
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