Thinking Backward

AI implementation fails when you start with the tool.

We start with your outcome.

Most AI Initiatives Fail

Not because of bad technology. Because of bad strategy.

70%

of AI pilots never make it to production. They optimize for demos, not outcomes.

$5M+

wasted annually by organizations chasing AI trends instead of solving real problems.

6 mo

average time before a failed AI initiative gets quietly shelved and forgotten.

There's a Better Way

Start with your destination. Work backward to the right tools and strategy.

01

Define Success

What does success actually look like? Not "implement AI" but the specific outcome you need.

02

Map Dependencies

What must be true for that outcome to happen? Work backward through each requirement.

03

Choose Tools

Now select the AI capabilities that serve your vision. Technology follows strategy.

04

Build & Validate

Execute with continuous validation against your original success criteria.

What We Believe

Fluency

Tools are easy. Wisdom is earned. Not button-pushers. Thinkers.

Humanity

70% of resources go to people, not technology. People transform companies.

Durability

Optimize for staying power. Capability that strengthens with time.

Intention

AI transformation isn't something that happens to you. It's something you design.

Latest Insights

August 2, 2025

The Rising Value of Human Connection in the Age of AI

Something's happening in professional services that doesn't make logical sense. AI can analyze data faster, generate insights more consistently, and deliver recommendations without bias. Yet people consistently choose (and pay more for) human involvement. This comprehensive research reveals why human communication skills become more valuable as AI capabilities expand, backed by data showing 32% premiums for human-verified information and 250% ROI on interpersonal skills training.

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August 1, 2025

AI Coding Agents: Transforming Software Development

AI coding agents are fundamentally transforming software development, from economic disruption to democratizing technology creation. This comprehensive analysis examines current capabilities, productivity impacts, technical challenges, and future implications for developers and society.

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July 31, 2025

The Dramatic Decline of Computing Costs and What It Means for AI Pricing

A comprehensive research analysis examining the dramatic decline in computing costs over four decades and its implications for the future pricing of AI tools and services.

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Ready to Think Backward?

Let's talk about where you are, where you want to be, and the best path to get there.

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