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Case Studies

What it looks like
when it's running.

Real deployments, real numbers. Each study walks through the workflow OneStaff.ai took over, the guardrails the operator set, and the outcome they measured — verified with the customer before publication.

0%
median drop in resolution time
0→1
tools consolidated into one platform
0days
median time to first workflow live
0.2x
average first-year ROI
Featured · Logistics

Meridian Freight cut resolution time 80%.

01

The problem

A 900-person 3PL was running support, dispatch exceptions and invoicing across 12 disconnected tools. Resolution times crept past 40 hours, and three specialists spent their weeks copying data between systems instead of solving problems.

  • 12 tools, no shared context between them
  • 40-hour median resolution on exceptions
  • ~60% of ops time lost to manual hand-offs
Support
Exceptions triaged & resolved end-to-end
Dispatch
Delivery exceptions auto-rebooked
Invoicing
Reconciled against POD automatically
02

The guardrails

OneStaff.ai was given authority to resolve exceptions under a defined credit threshold, rebook deliveries within existing carrier contracts, and reconcile invoices automatically — anything outside those lines routed to the ops lead with full context attached.

  • Auto-approve credits under $500
  • Rebook only within contracted carriers
  • Escalate disputes over $2,000 to a human
Credit limit
Auto-approve under $500
Policy
Contracted carriers only
Escalate to
Ops lead · disputes over $2K
03

The outcome

Within six weeks, median resolution dropped from 40 hours to under 8. The three specialists moved off data-entry and onto carrier negotiations. Twelve tools collapsed into one platform, and the ops lead got a clean audit trail for every automated decision.

  • Resolution time down 80%
  • 94% of exceptions resolved with no human touch
  • $1.1M annualised operating cost removed
Resolution
40h → 7.8h median
Autonomy
94% no-touch resolution
Cost
$1.1M annualised removed

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