The Partner AI Foundation Field Guide
How to know if your AI foundation is solid and ready for the partner ecosystem
AI in partner ecosystems keeps stalling
Get your partner data together to avoid financial drains and failed projects.
As organizations rush to deploy AI, they're discovering a hard truth: AI can't fill gaps in foundation, governance, or knowledge. It exposes them.
Here’s what’s happening in the market:
89% of ISVs listed on a hyperscaler marketplace drive little meaningful revenue through it
22% drive meaningful revenue through their marketplace listing
$7.13 returned per $1 AWS revenue for full-stack partners
Your organization doesn’t have to be a statistic. The Partner AI Foundation Field Guide helps you self-assess and move toward a stronger AI foundation.
DOWNLOAD THE PARTNER AI FOUNDATION FIELD GUIDE
Most AI initiatives fail for a simple reason: the information AI needs to reason, recommend, and act has never been structured. Here’s where the problem begins:
Why AI projects are failing
1
The wrong people are holding the wrong accountability.
2
The data is not governed.
3
The workflows are not systematized.
4
The institutional knowledge is not captured.
Your guide to AI readiness
The partner organizations seeing the greatest returns from AI aren't simply adopting new tools. They're building stronger foundations.
By improving visibility, governance, workflow consistency, and knowledge capture, they create the conditions AI needs to drive real business impact.
Discover where your execution gaps exist, evaluate your AI readiness, and learn what it takes to build a partner ecosystem that is ready for intelligent automation.
Our guide helps partner ecosystem leaders understand what must be true before AI can create measurable business impact.
Inside, you'll learn:
Why AI projects stall after launch
The four layers of the execution gap
How to assess your organization's AI readiness
What a complete partner data foundation requires
The path from manual execution to intelligent, agentic operations
Where to focus before making your next AI investment
Whether you're just beginning your AI journey or looking to scale existing initiatives, the guide provides a practical framework for identifying gaps and prioritizing action.
