Insights

Insights on AI implementation

Practical guidance for companies building AI systems that work.

All Implementation Governance Strategy Case Studies
Implementation 8 min read

Why 87% of AI Projects Never Reach Production

The gap between AI ambition and AI reality isn't a technology problem. It's an implementation problem. We break down what actually goes wrong and how to fix it.

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Governance 6 min read

AI Governance Isn't a Brake. It's a Seatbelt

Companies treat governance as the thing that slows AI down. The reality is the opposite: proper governance is what lets you move fast without breaking things.

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Case Studies 10 min read

What a Real AI Implementation Looks Like, Week by Week

No hand-waving. No "it depends." A concrete, week-by-week account of what actually happens when we take a company from idea to production AI.

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Strategy 5 min read

Five Questions to Ask Before Starting an AI Project

Before you write a single line of code or sign a single vendor contract, these five questions will determine whether your AI project succeeds or joins the 87%.

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Governance 22 min read

Our Position on Responsible AI: The Risks, the Promise, and Why Governance Matters

From autonomous weapons to companion app manipulation, from environmental impact to the erosion of human skills, this is our comprehensive statement on why responsible AI governance isn't optional.

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AI Security 32 min read

Building the Most Secure Environment for AI

A comprehensive guide to on-premise, cloud, and hybrid AI deployment architectures for regulated industries, with security frameworks, cost analysis, and actionable recommendations.

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Technical Research 30 min read

Small Language Models vs Large Language Models: A Technical and Strategic Guide

When to use small models, when to use large ones, and why the hybrid approach wins. Detailed benchmarks, cost analysis, and a practical decision framework for 2026.

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