Which trips remain unbilled, and why?
The assistant compares trip statuses against billing records and contract terms to detect discrepancies.
Departments lost a significant amount of time searching for information dispersed across the TMS, the WMS, and separate HR and financial systems.
To answer a single question or prepare a report, employees spent time every day searching across multiple systems for the required data. That information then had to be linked together manually, even though each system had its own export formats and its own definitions.
This resulted in substantial lost time: looking up the same data, retyping it, placing it side by side, and verifying consistency. Recurring reports were often compiled manually month after month, leaving continuous uncertainty about the accuracy of the figures.
During peak periods, or when the colleagues who usually built these data links were absent, answering a question took longer or reports were skipped entirely, leaving the organization with the least visibility precisely at its busiest moments.

Trips, status updates, and daily exceptions.
Inventory levels and the orders being fulfilled from them.
Schedules, staffing levels, and availability.
Invoices, contracts, and financial processing.
Instead of a generic chatbot, we developed a dedicated AI assistant for each department, each configured with its own access rights.
The assistant compares trip statuses against billing records and contract terms to detect discrepancies.
Inventory levels, incoming trips, and today's staffing schedule are consolidated into a single answer instead of three separate systems.
Incident reports are grouped by type, location, and timestamp, with the underlying records included for auditability.
The assistants were added to a process that already ran on these systems:
Of capacity is structurally freed up per department, because staff no longer lose time to administration and repetitive searching.
Want to know more about this?Every organisation works with AI, but everyone does it differently.
This case shows which phases of the Disruptiv framework another organisation went through. The assessment does the same for yours: you will not only see your score, but also which phase currently limits your progress and what needs to be done first.
Residents waited five working days for an answer. An AI assistant now drafts replies, but a staff member always checks and sends them.
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