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AI in practice

Ideas, guides and behind-the-scenes on how companies are using artificial intelligence across sales, marketing, support and management — without the hype.

Strategy for AI-First Companies

The Agent Hit the Target. The Target Was Wrong.

When automation runs at full efficiency, it also freezes your success criteria at the moment it was configured. The problem isn't what the agent does — it's what the company stopped questioning.

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July 2026 2
Strategy for AI-First Companies

The Agent Found the Niche. The Company Stopped Asking Questions.

When an AI agent identifies the most profitable segment in your funnel, the danger isn't concentrating resources there — it's that growth in that niche starts disguising the silent disappearance of everyone else.

AI Agents

What Your AI Agent Chose Not to See

Agents optimized for a single metric make silent choices about what to discard. The problem never shows up on the dashboard — it shows up months later, when the damage is already done.

June 2026 2
Strategy for AI-First Companies

You Picked the Vendor for Price. Now They Set the Limits.

Most companies choose their LLM provider based on cost per token. The problem shows up 18 months later, when switching models costs more than staying locked in.

AI Leadership

The Report Was Right. The Decision Was Wrong.

The AI delivered an accurate analysis and the company still made the wrong call. Understanding why that happens — and how to separate tool failure from judgment failure — is what sets learning organizations apart from those stuck in circles.

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