Back office. Automation. Business results.

Eight articles on why most AI projects fail, what Klarna shows everyone else, and what automated operations look like in practice.

Two autonomous AI agents β€” Ember and Umbra β€” working in parallel

19 Mar 2026

Meet Ember and Umbra: our first employees

Most companies recruit with LinkedIn and coffee chats. We configured our first employees. They have been working since day one β€” no holidays, no salary reviews, no complaints.

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Three stacked layers representing the evolution from Prompt Engineering to Context Engineering to Intent Engineering

25 Feb 2026

Intent engineering: the missing layer in your AI strategy

Klarna's AI resolved 2.3 million tickets. Resolution times halved. Then customers started complaining. The AI worked brilliantly β€” and that was the problem. A piece on the third discipline of enterprise AI.

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Diagram contrasting chaotic AI implementation with structured process auditing

24 Feb 2025

Why 95 percent of AI projects fail

Morningside AI has implemented AI for some of the world's biggest brands. Their conclusion: companies do it in the wrong order. Here is what the five percent who succeed do differently.

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Visualisation of Klarna's headcount reduction from 7,000 to 3,000 using AI

24 Feb 2025

From 7,000 to 3,000: what Klarna's AI journey tells everyone else

Klarna's CEO explains how they halved headcount using AI without raising new capital. What does that mean for every company that is not Klarna?

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Dark office floor with autonomous AI agents

20 Feb 2025

Dark Office: Why your next "hire" should be an entire factory

Why SMBs get stuck in internal AI pilots and how a Dark Office partner delivers outcomes without the J-curve dip.

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Illustration of autonomous e-commerce workflows with SLA

12 Feb 2025

Lights Out for e-commerce: from admin to autonomous operations

How to move repetitive administrative workflows into an AI-run service factory with SLA and outcome pricing.

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Illustration of AI archaeology in legacy systems

9 Feb 2025

AI archaeology: the bottleneck behind failed automation

How to break brownfield lock-in and build executable specifications for reliable agent operations.

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Illustration of intelligence arbitrage and AI-driven delivery

2 Feb 2025

From outsourcing to intelligence arbitrage

Why service businesses are moving from cheap labor to cheap intelligence, and what that means for margins.

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