AI & Automation Case Study

AI Internal Operations

Employees used to move information between systems by hand. Today an agent orchestrates the complete workflow — from order to warehouse to accounting.

Measurable results

Before and after, in numbers

of manual operations work saved per month
60+ hours
lower cost per processed order
~50%
workflows running without waiting for office hours
24/7
copy-paste errors between systems
near zero

Before

People were the integration layer

Orders came into the shop, stock lived in the warehouse system, invoices belonged in accounting — and employees were the glue. Information was copied from one system into the next, chased through spreadsheets and confirmed by email.

Every handover was a chance for a typo, a forgotten step or a day of delay. As order volume grew, operations scaled by hiring more people to move data around — not by moving it better.

After

An agent that orchestrates the workflow

One agent watches the entire process and moves information between systems the moment it is needed.

Step 1

Watches for triggers

New orders, supplier confirmations, returns and low stock are detected in real time across the shop, ERP and warehouse systems.

Step 2

Moves the information

Data is transferred between systems automatically — orders to fulfillment, delivery notes to accounting, stock changes back to the store.

Step 3

Handles the exceptions

Incomplete addresses, missing invoices or mismatched stock are detected, and the agent either resolves them or routes them to the right person with full context.

Step 4

Reports what happened

The team starts the day with a summary of everything processed overnight — volumes, exceptions and anything that needs a decision.

What changed for the team

More than 60 hours of manual operations work are saved every month, and the cost per processed order dropped by roughly half. Workflows run around the clock instead of waiting for office hours.

Copy-paste errors between systems are practically eliminated — and growth no longer means hiring more people to move data between tools.

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