Bodyne

Is Your Organization Ready for AI?
Most Aren't.

70-80% of AI implementations fail. Find out if yours will too — before you spend the budget.

Download the Free Diagnostic Kit

Takes 2 minutes. No credit card. No sales call.

The Problem No One Talks About

Companies buy AI-enhanced project management tools expecting strategic transformation. What they get is a slightly better to-do list with auto-generated summaries. The marketing promises "self-learning AI engines" and "predictive analytics." The reality: basic text generation and simple pattern matching that requires constant human oversight.

The gap between expectation and reality isn't a technology problem. It's an organizational readiness problem. And it's costing businesses billions.

80%+
of AI projects fail to deliver intended business value
Pertama Partners, 2026
16%
of Wrike users have actually enabled AI features
Wrike Newsroom, May 2024
13%
of organizations are fully ready to deploy AI
Cisco AI Readiness Index, 2024

What's in the Kit

1

White Paper

"AI Won't Save Struggling Companies"

Research-backed analysis of why AI tools fail — with citations from McKinsey, BCG, Cisco, and RAND. Includes SMB-specific guidance.

2

Self-Assessment

15-Question AI Readiness Scorecard

Score your organization across three dimensions: Strategic Readiness, Operational Readiness, and Cultural Readiness. Takes 5 minutes.

3

Roadmap

90-Day AI Readiness Plan

Month-by-month preparation plan with checklists, plus a 5-question vendor evaluation checklist for when you're ready to buy.

This Kit Is for You If...

  • You've invested in Wrike, Monday.com, or Asana but your team isn't using the AI features
  • You're considering an AI investment but aren't sure your organization is ready
  • You've tried AI tools and they haven't delivered the productivity gains promised

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About the Author

Andrew Adamson spent 28 years building a manufacturing company before launching Bodyne to help B2B owners escape digital invisibility. He's watched dozens of businesses invest in AI tools before fixing the organizational problems that guaranteed those tools would fail.

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