Supply Chain
Execution, not just dashboards.
Agents that detect the at-risk order, propose the action and escalate only what matters.
Common use cases.
At-risk orders by stage
Committed value at risk, from production to DC.
Expected result
[X] MXN protected
Suggested action per exception
A concrete proposal ready to approve for every exception.
Expected result
[X]% of exceptions resolved
Customer notices
Draft notices ready when a committed date changes.
Expected result
[X] on-time notices
Shipment and customs tracking
Every shipment and document status in one place.
Expected result
[X] fewer days in customs
Escalate only what's critical
Leadership sees only what puts a sale or date at risk.
Expected result
[X] escalations per month
Every solved case teaches the next.
Every agent works on the same company context and records what it decides. What it learns in one process makes the next more accurate: connections, permissions and memory are already there.
Why Adopt.ia.
In production, not a pilot
We start from agents already running at companies like yours.
Connected to what you use
ERP, banks, SAT, CRM and spreadsheets. What works stays; what doesn't goes.
A pair that understands business
An AI engineer and a business operator accountable for the result.
How we work.
- 1
Build
We adapt the agent to your process, your data and your rules.
- 2
Test
We test it against real cases before it touches your operation.
- 3
Deploy
We put it in production and measure it every week.