Use case
Use case3 min readBy The Data Workers Team

Constituent operations data, run by agents

Cases, calls and web requests sit in separate systems, so service levels are estimated. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. Cases, calls and web requests sit in separate systems, so service levels are estimated.
  • •What changes. Agents unify case and contact data with governed service-level definitions and keep it current.
  • •What stays with your people. Published service metrics: the public sees them.
  • •The result. Service levels are measured, not estimated.

The problem today

Cases, calls and web requests sit in separate systems, so service levels are estimated.

What changes with Data Workers

Agents unify case and contact data with governed service-level definitions and keep it current.

The workflow: Connectors agent (get_connector_status) → Pipeline Building agent (generate_pipeline) → Data Security agent (scan_pii) → Data Context & Catalog agent (define_business_rule).
Fig. 1:The workflow: Connectors agent (get_connector_status) → Pipeline Building agent (generate_pipeline) → Data Security agent (scan_pii) → Data Context & Catalog agent (define_business_rule).

The workflow, step by step

  1. 1.The Connectors agent calls get_connector_status and lands case and contact data.
  2. 2.The Pipeline Building agent calls generate_pipeline and unifies cases.
  3. 3.The Data Security agent calls scan_pii and classifies personal data.
  4. 4.The Data Context & Catalog agent calls define_business_rule and governs service levels.

The impact metrics we move

  • •Service-level report: from about a week to ~1 h
  • •Case data unified: from about a month to 1 day
  • •Access for a team: from about a week to 5 min
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

  • •Case data unifies daily, so service levels are current.
  • •Personal data is classified, so privacy holds.

Where your people stay in charge

Published service metrics always go to a named approver, because the public sees them. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. One service line's cases.
  • •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:
  • •Service-level report: from about a week to ~1 h
  • •Case data unified: from about a month to 1 day
  • •Access for a team: from about a week to 5 min
  • •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 government hub · The full team playbook

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