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Benchmarks, playbooks, and honest analysis on AI for growth and operations. Sources cited. Hype excluded.

Featured · Research · 7 min read

The 2026 adoption gap: everyone has AI, almost nobody has results

McKinsey's late-2025 survey says 88% of organizations now use AI. The same survey says only 7% have scaled it. The newest research explains the gap — and what the minority doing it right have in common.

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Research · 7 min read

What Harvard and Kellogg are telling executives about AI

Two of the most credible voices in management research published their AI verdicts: HBS ran a 776-person field experiment, and Kellogg told executives why their pilots are stuck. Together they read like an operating manual.

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Front Office · 6 min read

Missed calls are the most expensive line item you don't track

Your P&L shows ad spend, payroll, and software. It doesn't show the revenue that called and hung up. Here's how to size the leak honestly — with published benchmarks, not vendor math.

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Growth · 7 min read

The 5-minute rule: what lead-response research actually says

The most replicated finding in sales operations is also the most ignored: response speed decides who wins the deal. A plain-language tour of the research — and why most firms still fail it.

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Operations · 8 min read

Back-office automation: where the savings actually come from

McKinsey says ~30% of most jobs is automatable. Deloitte's surveys report 25–40% cost reductions in business services. Here's how those headline numbers translate — and don't translate — to a real SMB back office.

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Front Office · 6 min read

AI receptionist vs. answering service: an honest comparison

Answering services solved 'someone picks up.' AI agents solve 'something gets done.' Where each wins, where each fails, and the questions to ask any vendor — including us.

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Buying AI · 5 min read

How to read AI vendor case studies (and the benchmarks that matter)

The AI market runs on suspiciously round numbers. A buyer's guide to separating evidence from theater — written by a vendor, deliberately against our own interest.

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