Back office ops · Production

Unilever International uses monday.com AI to save 1,830+ hours annually across 250+ global projects

The problem

Unilever International's lean global team had no real-time visibility across projects — work was scattered across spreadsheets and slide decks, updates were manual and inconsistent, and leadership spent more time reporting on projects than delivering them.

Workflow diagram · grounded in source

Weekly AI-supported stand-up

trigger

“monday on Monday, a weekly stand up, brings business analysts together to align on priorities, flag blockers, and track progress — all within a live, AI-supported workspace”

AI scans incoming communications

ai_action

“monday.com's AI scans incoming communications and builds planning boards automatically — turning objectives into timelines, owners, and actionable next steps”

AI surfaces risks and anomalies

ai_action

“the team relies on monday.com's AI to surface issues as they emerge — from delivery delays to anomalies across 300+ million data records”

Automatic ticket generation and routing

routing

“When a data issue is detected, a ticket is generated automatically, routed to the right team, and followed up — no nudges or escalations required”

Real-time dashboard visibility

output

“Dashboards surface risk areas and stretched capacity, giving leaders the visibility to respond quickly — and the clarity to focus on what matters most”

Reported outcome

Unilever International achieved a 4x return on investment, saving over 1,830 hours annually by eliminating manual updates, status decks, and reactive follow-ups, with platform adoption exceeding 95% and weekly alignment reduced to just an hour.

Reported metrics

Return on investment4x

Hours saved annuallyover 1,830 hours annually

Platform adoptionexceeds 95%

Weekly alignment timejust an hour

Reported stack

monday.com

Source

https://monday.com/w/customer-stories/unilever-international

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Unilever International achieved a 4x return on investment, saving over 1,830 hours annually by eliminating manual updates, status decks, and reactive follow-ups, with platform adoption exceeding 95% and weekly alignme…

What tools did this team use?

monday.com.

What results were reported?

Return on investment: 4x; Hours saved annually: over 1,830 hours annually; Platform adoption: exceeds 95%; Weekly alignment time: just an hour (source-reported, not independently verified).

How is this back office ops AI workflow structured?

Weekly AI-supported stand-up → AI scans incoming communications → AI surfaces risks and anomalies → Automatic ticket generation and routing → Real-time dashboard visibility.