Blog Posts
The AI Data Readiness Playbook
Every enterprise has an AI roadmap now. Very few have asked whether their data can actually carry it.
60%
of senior data and IT leaders say fragmented data is the gap they hit most when evaluating AI
GRAX survey of 30 senior data and IT leaders, North America and Europe, 2026
79%
of IT professionals believed their SaaS apps back up data by default
2024 State of SaaS Data and Recovery survey
22%
of organizations have scaled AI across multiple business units
Gartner
The White Paper
Get the Playbook
AI initiatives stall on data more often than on models. This playbook explains why, and gives you a way to test your own Salesforce data in an afternoon.
What’s inside
- Why a backup that restores perfectly can still be unusable for AI
- Original GRAX research from 30 senior data and IT leaders across North America and Europe
- The four pillars of AI-ready data: ownership, preservation, structure, and access
- A one-page scorecard to rate one Salesforce object against all four pillars
Download Your Copy
The AI data readiness foundation
AI-ready data rests on four pillars.
Ownership
Who controls it? Data lives on infrastructure your organization controls.
Preservation
Did the history survive? Field-level change history stays intact.
Structure
Can anything else read it? Data sits in open, analytics-ready formats.
Access
How fast can it be reached? The tools that need the data reach it without a ticket.
The Webinar
The Great AI Rearchitecture
Tuesday, December 8, 2026 | 11:00 am EST
84% of data leaders say their data strategy needs an overhaul. We’ll talk through why, and what to check first.
AI pilots keep stalling, and the model usually takes the blame. The data behind them is the more common culprit. Join GRAX and Kevin Petrie, VP of Research at BARC US, for a candid conversation on why AI initiatives stall, and what to check before the next one gets funded.
Speakers
-
Kristin Stanton
Customer Experience, GRAX
-
Joe Gaska
Co-Founder and CPO, GRAX
-
Kevin Petrie
VP of Research at BARC US