Operations

The data quality work to do before deploying AI

Most failed AI deployments fail because the underlying data was wrong. A practical hygiene pass.

16 July 2025 · 7 min read · SpectraIQ Editorial

Duplicate customer records

Merge before AI starts messaging. Sending the same nurture to three duplicate records of one customer is the fastest way to lose them.

Consent state

Audit your opt-out list. Reconcile across CRM, marketing automation and telephony. AI must respect the strictest opt-out across systems.

Stock data

Stale stock is the most common cause of AI embarrassment. Sub-hourly sync is the realistic minimum.

Lead source attribution

If your CRM thinks every lead came from 'website', your AI cannot adapt tone by source. Fix the upstream tagging.

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