Back office ops · Production

VML uses monday.com to centralize operations and bring AI to their data as a global creative agency

The problem

VML teams struggled to use the platform confidently during high-stress real-life incidents and hazards, having only encountered it once in training, making adoption under pressure difficult.

First attempt

The prior industry approach of bringing data to the AI did not deliver results; monday.com reversed this by bringing the AI to existing data.

Workflow diagram · grounded in source
1
Real-life incident trigger
trigger
“come in cold to a system that they may have used once in a training environment for a real-life incident or hazard”
2
AI applied to existing data
ai_action
“monday.com flipped it and brought the AI to our data, and that changed everything”
3
Centralized process platform
output
“monday.com allows us to centralize all processes in a single platform so we can work, coordinate, and communicate seamlessly”
Reported outcome

monday.com became an accelerant for VML's global transformation as a creative agency and enabled centralizing all processes in a single platform for seamless work, coordination, and communication.

Reported metrics
Organizational transformation impactaccelerant for us so that we can transform and become the best creative agency that we possibly can
AI-to-data approach impactthat changed everything
Reported stack
monday.com
Source
https://monday.com/w/customer-stories/vml
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

monday.com became an accelerant for VML's global transformation as a creative agency and enabled centralizing all processes in a single platform for seamless work, coordination, and communication.

What tools did this team use?

monday.com.

What results were reported?

Organizational transformation impact: accelerant for us so that we can transform and become the best creative agency that we possibly can; AI-to-data approach impact: that changed everything (source-reported, not independently verified).

What failed first in this deployment?

The prior industry approach of bringing data to the AI did not deliver results; monday.com reversed this by bringing the AI to existing data.

How is this back office ops AI workflow structured?

Real-life incident trigger → AI applied to existing data → Centralized process platform.