Use case
Use case3 min readBy The Data Workers Team

Delivery performance data, run by agents

On-time metrics depend on scan, route and customer data that disagree, so every region reports a different OTD. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. On-time metrics depend on scan, route and customer data that disagree, so every region reports a different OTD.
  • •What changes. Agents verify scans per hub, govern the OTD definition and trace misses to cause.
  • •What stays with your people. Customer-facing SLA reports: contracts depend on them.
  • •The result. One on-time number across regions.

The problem today

On-time metrics depend on scan, route and customer data that disagree, so every region reports a different OTD.

What changes with Data Workers

Agents verify scans per hub, govern the OTD definition and trace misses to cause.

The workflow: Quality Monitoring agent (get_anomalies) → Data Context & Catalog agent (define_business_rule) → Incident Debugging agent (get_root_cause) → Autonomous Data-Conductor (verify_data).
Fig. 1:The workflow: Quality Monitoring agent (get_anomalies) → Data Context & Catalog agent (define_business_rule) → Incident Debugging agent (get_root_cause) → Autonomous Data-Conductor (verify_data).

The workflow, step by step

  1. 1.The Quality Monitoring agent calls get_anomalies and checks scans per hub.
  2. 2.The Data Context & Catalog agent calls define_business_rule and governs on-time definitions.
  3. 3.The Incident Debugging agent calls get_root_cause and traces misses.
  4. 4.The Autonomous Data-Conductor calls verify_data and verifies OTD before publishing.

The impact metrics we move

  • •OTD report: from about 2 days to under 1 h
  • •Scan gap caught: from about 6 hours to 15-20 min
  • •Miss traced: from about a day to under 1 h
Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.
Fig. 2:Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.

What goes on autopilot

  • •Scans are checked per hub, so OTD is never computed on gaps.
  • •OTD is governed, so regions agree.

Where your people stay in charge

Customer-facing SLA reports always go to a named approver, because contracts depend on them. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. OTD for one region.
  • •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
  • •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
  • •At day 30. We review the impact metrics against your baseline:
  • •OTD report: from about 2 days to under 1 h
  • •Scan gap caught: from about 6 hours to 15-20 min
  • •Miss traced: from about a day to under 1 h
  • •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.

Related: The logistics and transportation hub · The full team playbook

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