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Analytics operations

Report Request Intake
Managed AI Workflows.

Turn a request for a report into a clear business question, data scope and acceptance criteria.

THE OPPORTUNITY

Start where the work
gets held up.

Analysts can spend days building a dashboard before discovering that the requester needed a different decision or population.

Help teams agree on the purpose before choosing fields and charts.

A WORKFLOW WORTH EXPLORING

Submitted reporting request-to-analytics brief

An analytics owner accepts a new reporting request.

Draft the question, proposed scope and unresolved metric definitions, identifying overlap with existing reports.

WHERE JUDGMENT BELONGS

Make the review point explicit.

The requester confirms the decision need and analysts validate data feasibility.

Work within the real constraints.

Do not promise that unavailable data exists or create sensitive reporting access from a general request.

Success needs
a useful measure.

Measure scope changes, ambiguous metrics, duplicated reports and discovery effort.

Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.

Read the implementation guide ↗
CHOOSE THE RIGHT SUPPORT

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.

DIY

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 ↗
DFY

We manage the foundation.

Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.

Explore managed delivery ↗
START WITH YOUR WORK

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.