Coming soon
The Non-Technical Leader's Guide to Evaluating AI Vendors
How to ask the right questions, spot overblown claims, compare solutions on substance, and structure pilot programmes that produce genuine evidence.
72 pages
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In-depth, structured guides for teams and leaders who need to move beyond the basics. Each guide includes frameworks, case studies, and actionable recommendations.
Coming soon
Coming soon
AI for Finance Teams: A Practical Implementation Guide
Where AI delivers real value in finance today — from forecasting and reconciliation to anomaly detection and reporting. Includes an honest assessment of what still requires human judgement and a phased adoption roadmap.
64 pages
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AI for Marketing Teams: A Practical Implementation Guide
Covers content generation, audience segmentation, campaign optimisation, and analytics — with honest assessments of quality thresholds, brand-safety considerations, and what still needs a human hand.
64 pages
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Understanding AI Risk: What Every Manager Needs to Know
A clear-headed framework for identifying, assessing, and communicating AI-related risks — from data privacy and bias to vendor lock-in and reputational exposure. Includes decision templates and board-ready language.
72 pages
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How to Read an AI Product Roadmap Without Getting Misled
Teaches professionals to distinguish genuine capability from marketing projection when assessing AI tools, platforms, and vendor promises.
64 pages
Get launch updates →Coming soon
Building Your Team's AI Competence: A Manager's Playbook
How to assess your team's current capability, design a realistic upskilling plan, choose the right resources, and create a culture where experimentation is safe and learning is ongoing.
72 pages
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Writing Effective AI Prompts for Professional Work
A practical, role-agnostic guide to communicating clearly with large language models. Covers prompt structure, iteration techniques, and common failure patterns — written for professionals, not engineers.
48 pages
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