Start with a defined trigger
A data owner authorizes a defined set of quality checks.
Data operations
Data Quality Triage:
Data Quality Triage:
the workflow in practice.
Quality check-to-owner review
FROM INPUT TO HANDOFFA clear job
Explore the architecture behind the pattern ↗
A clear job
for every step.
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Do not silently replace missing values or treat unusual data as wrong without evidence.
Assemble the right context
Collect permitted records, approved validation rules, source-system ownership and relevant process dependencies.
Perform the bounded task
Group exceptions and explain their possible operational impact, marking uncertain relationships.
Review before taking action
Data owners verify findings and approve corrections or changes to validation rules.
Deliver and record the result
Record accepted issues and route approved remediation to the authoritative system.
Build an improvement loop
around real work.
Measure false positives, missed consequential errors, ownership gaps and triage effort.
Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.
CHOOSE THE RIGHT SUPPORTBuild it. Build with us.
Build it. Build with us.
Or have us manage it.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Your team owns the build.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Work through it together.
Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗We manage the foundation.
Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗CONNECTED OPPORTUNITIES
Duplicate Record Review
Prepare likely duplicate records for careful review using explicit identity evidence.
Explore this solution ↗START WITH YOUR WORKWhere is your team
Where is your team
doing too much by hand?
Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.