Employee AI agents for 19,000 frontline logistics workers
Drivers, dock staff and depot supervisors had no realistic way to complete an internal request mid-shift. pronix.ai deployed a small set of bounded employee AI agents — shift swap, equipment, expense and access — that complete the transaction on a phone in under two minutes, with human approval on anything that matters.
Global logistics operator, 19,000 frontline workers · Azure AI Foundry · ServiceNow · SAP SuccessFactors · Microsoft Teams
- Client
- Global logistics operator, 19,000 frontline workers
- Industry
- Logistics & Transportation
- Platform
- Azure AI Foundry · ServiceNow · SAP SuccessFactors · Microsoft Teams
*Representative outcome; results vary by client, scope and platform configuration.
The challenge
Frontline staff had no desk, no corporate laptop and a 12-minute break. Internal requests were made by calling a supervisor, who then re-keyed them into three systems. Requests were lost, expenses went unclaimed, and depot supervisors spent an estimated 40% of their week on administrative relay work.
Our approach
Four agents, tightly bounded
We shipped four agents with explicit scopes rather than one general assistant. Each has a defined set of tools, a defined escalation path and its own success measure.
Human approval where consequence lives
Pay-affecting, safety-affecting and access-granting actions always require a named approver. The agent prepares the decision; a person makes it.
Built for a phone and a poor signal
Voice and short-text interaction, offline-tolerant queuing, and a 90-second target from open to done.
Supervisors as the change channel
Depot supervisors were trained first and given a live view of what agents were doing on their site — adoption followed supervisors, not campaigns.
Kill switch and replay
Per-agent disable, full action replay, and a weekly exception review that fed the next release.
“A driver can sort a shift swap from the cab in the time it used to take to find a supervisor.”
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Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.
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