Most orgs aren't ready, and the data is why. Duplicates, broken relationships, and empty fields quietly break every AI initiative you launch. Salesforce Data Readiness for AI scores the data foundation your AI depends on: read-only, no risk to your data, with a clear roadmap for fixing it, in priority order.
Fixed price · Read-only · Report in 5 business days
The technology isn't the bottleneck anymore — the data underneath it is. AI can't personalize, reason, or act on records that are duplicated, disconnected, or empty. Before you spend on Agentforce, Einstein, or any AI tool, you need to know what state your data is actually in.
of marketers have adopted AI — yet still send generic, one-way campaigns. The cause isn't effort. It's unusable data.
the annual floor for Salesforce Data Cloud — money wasted if your underlying data can't feed it reliably.
perfect orgs, ever. Every Salesforce instance carries technical debt and messy data. The question is how much — and what it's costing your AI.
You walk away knowing exactly which parts of your data will sink an AI project — scored across the six recognized dimensions of data quality, weighted, and rolled into one number you can take to leadership. Not a vague "audit." A verdict you can act on.
Fill rates on the fields AI needs. Empty fields mean AI doesn't know who your customer is.
Per-object and cross-object duplication, including fuzzy matches. Duplicates make AI contradict itself.
The same value represented many ways — picklist sprawl, format chaos. "QC" vs "Québec" vs "Quebec."
Does the data conform to the rules and formats it's meant to follow? Invalid emails, malformed phones, out-of-range values.
How stale is it? Records and fields decaying quietly in the background, last touched years ago.
Does it match reality? Flagged honestly — true accuracy needs external validation, not a fabricated number.
This is the data foundation of AI readiness: the six dimensions above, plus the structural signals (relationships, duplicates, dead fields) that decide whether AI can use your data at all. Full AI readiness also takes data structure and accessibility, governance, and use-case fit. Get the foundation right first; a deeper engagement handles the rest.
*We report what's measurable from inside your org and flag what requires external data to verify — rather than inventing a number.
No one touches your production org. You grant read-only access, we run scripted analysis across all six dimensions, and you walk away with a score, the findings behind it, and exactly what to fix first.
57,000 Contacts with no linked Account — AI can't attribute them to a company.
112 custom fields never populated. 14 flagged for integration dependencies — review before removal.
Industry field uses 41 free-text variants of 9 real values.
Roadmap: 3 prioritized phases → projected score after cleanup: 82 / 100.
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The assessment is a flat fee because it's read-only and bounded — no surprises. The cleanup itself is scoped and quoted separately, once we've seen the real picture. No one can honestly fix-price a cleanup before seeing the data.
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Most clients start with the assessment, then decide on cleanup with the findings in hand. Ongoing care plans available.
The things teams ask before booking. Still unsure? Book a call or request a quote.
Get your readiness score in five business days — read-only, fixed price, zero risk to your data. Then decide what's next with real numbers, not guesses.