Case Study

Global Infant Nutrition Leader

Regulated consumer health — US operations

Every Label Right. Every Time.

In infant nutrition, the product label is a regulated document. This global leader runs its US label approvals on DocQ: seven purpose-built workflows, four-way parallel review committees, multilingual review paths, and a change-request loop — with its legacy request forms imported by AI.

100%

of label decisions on the audit record

Day 1

adoption — familiar forms, imported by AI

Label Review — Product 2041-B
Committee Review · Parallel

Legal

Approved

Regulatory

Approved

Packaging

Reviewing…

Marketing

Approved

Next: Final Approval Gate

All four reviews must approve before the label advances — every decision logged for regulatory audit.

Workflow AutomationForms & DataAI Engine
The Company

Where a Label Is a Legal Document

Infant formula is among the most tightly regulated consumer products in the world. Every claim, ingredient line, and translation on a label must satisfy FDA requirements — and survive legal, regulatory, packaging, and marketing scrutiny before anything ships.

Industry

Infant & specialty nutrition

Scope

US operations

Context

FDA-regulated product labels

Reviewers

Legal, regulatory, packaging, marketing

The Starting Point

Label approvals ran on manual routing: marketing initiated a label, then shepherded it by email through legal, regulatory, packaging, and marketing reviews — one reviewer at a time. Reviews that could have happened simultaneously happened sequentially, and every change request restarted the shepherding.

The team also had years of institutional process encoded in its paper and PDF request forms — label request forms and change-control forms that every stakeholder knew by heart. Any new system that abandoned those forms would trade one kind of friction for another.

The mandate: committee review that runs in parallel, a change loop that doesn’t restart the world, lanes for every label type — and the existing forms carried forward, not thrown away.

The Solution

Committee Review, Run by the System

Seven workflows, one per label type

Standard labels, legal/packaging fast-track, digital variants without packaging, Spanish-language labels, and hospital/medical labels — each type gets its own purpose-built lane.

Four-way parallel committee review

The review committee fans out to legal, regulatory, packaging, and marketing simultaneously — with an on-deck staging step feeding it and a final approval gate after it.

Change requests without restarts

A dedicated change-request path re-runs its own parallel committee, so label revisions loop through review without restarting the whole approval.

Multilingual review paths

Spanish and French review steps are built into the lanes that need them — translation review is part of the workflow, not an email thread beside it.

Legacy forms imported by AI

The team’s existing label request and change-control forms were read by AI and rebuilt as native DocQ forms and document templates — the process people knew, now running the automation.

Audit-ready by construction

Every review, approval, and change is logged on the label’s record — regulatory evidence is a query, not an email archaeology project.

The Outcome

From Weeks to Days — With the Audit Trail to Prove It

Sequential reviews shepherded by email

Four reviews running in parallel, automatically

Change requests restarted the routing

A dedicated change loop re-runs only the committee

One-size-fits-all routing for every label

Seven lanes matched to label type and language

Beloved legacy forms facing retirement

The same forms, imported by AI, running natively

Approval evidence scattered across inboxes

Every decision on the label’s audit record

100%
of decisions on the audit record
Day 1
adoption on AI-imported familiar forms
3
languages reviewed in one flow

Customer identity withheld at their request.

Build. Automate. Govern.Accelerate Intelligence. Accelerate People.

One platform to structure your data, automate your processes, and free your people — with AI baked in.

Every manual step eliminated is a compounding speed advantage. What are you still doing manually that DocQ could handle instantly?