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AI Consultancy vs Dev Shop vs In-House: A CFO's Guide to Picking the Right Build Partner

Most mid-market companies choose their AI development model based on price or whoever pitched last. That's a capital allocation mistake. Here's how to evaluate consultancies, dev shops, and in-house teams using the numbers that actually matter.

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The Millennial Brief

AI and growth insights for mid-market leaders

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DevelopmentMar 28, 202618 min read

Build vs. buy for AI: how mid-market companies should decide

Build-vs-buy goes deeper than capability. It is about where your competitive advantage lives and how fast the vendor market is shifting beneath you.

OperationsMar 24, 202614 min read

Measuring AI ROI: The Metrics That Matter (Updated)

Most companies measure AI ROI by tracking hours saved. That metric misses 80% of the value. Here is a better framework for measuring what actually matters, including how to build an AI business case your board will approve.

AI StrategyMar 17, 202616 min read

The insider's guide to choosing an AI consultant (from someone who sold consulting at McKinsey)

The AI consulting market is exploding, and so is the number of firms that have no business advising you. Here's an 8-point framework for separating real capability from polished decks, written by someone who used to build those decks at McKinsey.

DevelopmentMar 3, 202618 min read

Agentic AI workflows explained: what works, what breaks, and what to build first

Gartner says 40% of enterprise apps will embed AI agents by end of 2026. They also say 40% of agentic projects will be canceled. Here is the engineering reality between those two numbers.

GrowthFeb 17, 202618 min read

How mid-market B2B companies are using AI to build pipeline that actually converts

Most mid-market B2B teams are running manual pipeline playbooks against competitors who automated theirs two years ago. This piece covers where AI actually moves pipeline numbers, with real budgets and a 12-week roadmap.

OperationsFeb 3, 202614 min read

Why AI consulting projects fail (and the $4.6M mistake pattern behind most of them)

Eight out of ten AI projects fail. After three years at McKinsey and two years running client engagements, the failure patterns are predictable and preventable.

AI StrategyJan 20, 202616 min read

AI strategy for mid-market companies: the playbook nobody wrote for you

Mid-market companies keep following enterprise AI playbooks built for organizations with 10x their resources. Here is the strategy framework that actually fits your budget, team, and timeline.

AI StrategyMar 10, 202612 min read

AI strategy that ships: what mid-market companies get wrong

Most AI strategies are PowerPoint exercises. The ones that work start with whether your operations can absorb what you plan to deploy.

GrowthJan 27, 202613 min read

How to scale content production without tanking quality

AI-assisted content can scale output 10x. The question is whether any of it is worth reading.

OperationsJan 13, 202613 min read

Your AI initiative needs fewer models and more process design

Companies getting the most from AI redesigned their processes before adding automation. Model selection came second.