Use case
Use case3 min readBy The Data Workers Team

Cost intelligence data, run by agents

Cost-per-case models combine GL, supply, labor and encounter data in spreadsheets that take weeks to refresh. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. Cost-per-case models combine GL, supply, labor and encounter data in spreadsheets that take weeks to refresh.
  • •What changes. Agents keep the cost model's inputs joined and tied to the GL, so service-line margins refresh with every close.
  • •What stays with your people. Published service-line margins: leadership decides on them.
  • •The result. Service-line margins refresh with every close.

The problem today

Cost-per-case models combine GL, supply, labor and encounter data in spreadsheets that take weeks to refresh.

What changes with Data Workers

Agents keep the cost model's inputs joined and tied to the GL, so service-line margins refresh with every close.

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

The workflow, step by step

  1. 1.The Connectors agent calls get_connector_status and lands GL, supply and labor data.
  2. 2.The Quality Monitoring agent calls run_quality_check and ties costs to the GL.
  3. 3.The Pipeline Building agent calls generate_pipeline and maintains cost allocation models.
  4. 4.The Data Context & Catalog agent calls define_business_rule and governs cost definitions.

The impact metrics we move

  • •Cost model refresh: from about a month to 1 day
  • •GL tie-out: from about a week to under 1 h
  • •New service-line cut: from about a week to 4 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

  • •Cost inputs tie to the GL every close, so margins are trusted.
  • •Allocation logic is versioned, so comparisons survive changes.

Where your people stay in charge

Published service-line margins always go to a named approver, because leadership decides on them. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. GL tie-out and one service line.
  • •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:
  • •Cost model refresh: from about a month to 1 day
  • •GL tie-out: from about a week to under 1 h
  • •New service-line cut: from about a week to 4 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 health systems and providers hub · The full team playbook

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