An order and delivery management system
Connect orders, invoicing and delivery route preparation.
AIRTABLE SYSTEMS & ARTIFICIAL INTELLIGENCE
JULIEN MOTTET / ELBATRIAThe power of AI
in an Airtable system
you control
Already familiar with Airtable? I use AI to build your operational tools in an environment you understand. You and your team retain control over the data, automations and routine adjustments.
AIRTABLE AT THE HEART OF OPERATIONS
Systems your teams can understand and develop.EXPLORE
A selection of clients
All clients
JULIEN MOTTET · INDEPENDENT CONSULTANT
Six years working with Airtable every day
I have supported more than 50 companies across 200 projects. This daily practice lets me build with AI on a technology I know in depth, then verify what it produces.
My experience and approach01 / THE STARTING POINT
Benefit from AI
without having to become an expert
AI lets us build more. But you still need to be able to take control of the system once it works. I structure data, interfaces and automations in Airtable to make the rules visible. Managers and teams can follow a case, understand a trigger and adjust everyday workflows without depending on an AI expert for every change.
Explore my approach02 / EXPERTISE
Build your operations around Airtable
Structured data, focused AI use cases
and a team able to take control.
01
Airtable systems
Bases, interfaces and automations designed around the way your teams work.
↗02AI in operations
Extract, classify or draft a response, with an output you can inspect and check.
↗03Taking control
Make an existing system easier to understand and train the people who will develop it.
↗THE FOUNDATION OF YOUR SYSTEM
Airtable + AI · Your connected tools
03 / IN PRACTICE
Example engagements
Map the origins of raw materials
Make origins and manufacturing locations readable in Airtable.
Know when to look for new projects
Compare available hours with the work already committed.
04 / HOW I WORK
How an engagement works
01
Observe
Follow a real case and understand the friction.
02
Build
Test an initial solution with users.
03
Make reliable
Check the rules, exceptions and results.
04
Hand over
Give teams the ability to keep the system running and evolving.
05 / THE JOURNAL
Articles on tools
and how to use them
for dataDATA ↗
Who decides which data is authoritative?
Centralising data is not enough. You need to decide who creates it, who validates it and who is accountable for it.
championADOPTION ↗
Train an internal champion to keep your tool running and evolving
A well-built base remains fragile if nobody in-house knows how to maintain and develop it.
in a processAUTOMATION ↗
Before automating, follow an exception.
The normal process shows what works. Exceptions reveal what the system needs to understand.
THE NEXT STEP
Let’s talk about your project
Tell me what is causing you problems
in your organisation or current tools.