AI Adoption Initiative · AA-07

Data Quality & Foundation Sprint

ImpactVery High

Complexity3 / 5

AI Adoption Est.$7,500Starting

The use case is the right one, but the customer records live in three systems that don't talk to each other, and half of them have the same account spelled two different ways. There's no data team standing by to fix that quietly in the background, so the AI project everyone was excited about turns into a data-cleanup project, and momentum drains out of it fast.

The outcomeThe specific data the priority use case actually needs gets cleaned, structured, and made available on a schedule people can rely on. The AI work downstream gets to run on solid ground instead of everyone dropping what they're doing every time the data breaks.

What you get

A data audit scoped to exactly the fields and sources the target use case needs, not a full inventory
Cleanup and structuring of the data sets that actually move the needle
Simple pipelines that keep the data current, with clear ownership so it doesn't quietly rot again in six months

How we prove it · Your agreed metrics

Data completeness and accuracy on the target data sets before vs. after
How many downstream AI or automation blockers actually got removed
Time to produce the data needed for the first use case
Reduction in hours spent reconciling data by hand

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