Use case
Use case3 min readBy The Data Workers Team

CRM workflows, run by agents

CRM admins change stages, fields and automations weekly, and downstream data breaks silently. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. CRM admins change stages, fields and automations weekly, and downstream data breaks silently.
  • •What changes. Agents watch every CRM change, map it downstream and verify the reports and agents that depend on it.
  • •What stays with your people. Changes to forecast-affecting fields: leaders rely on them.
  • •The result. CRM changes never break downstream data.

The problem today

CRM admins change stages, fields and automations weekly, and downstream data breaks silently.

What changes with Data Workers

Agents watch every CRM change, map it downstream and verify the reports and agents that depend on it.

The workflow: Schema Evolution agent (detect_schema_change) → Data Context & Catalog agent (blast_radius_analysis) → Pipeline Building agent (generate_pipeline) → Autonomous Data-Conductor (verify_data).
Fig. 1:The workflow: Schema Evolution agent (detect_schema_change) → Data Context & Catalog agent (blast_radius_analysis) → Pipeline Building agent (generate_pipeline) → Autonomous Data-Conductor (verify_data).

The workflow, step by step

  1. 1.The Schema Evolution agent calls detect_schema_change and detects CRM changes.
  2. 2.The Data Context & Catalog agent calls blast_radius_analysis and shows what depends on them.
  3. 3.The Pipeline Building agent calls generate_pipeline and updates downstream models.
  4. 4.The Autonomous Data-Conductor calls verify_data and verifies reports.

The impact metrics we move

  • •CRM change mapped: from about 2 days to 15-30 min
  • •Impact shown: from about a day to minutes
  • •Reports verified: from about 8 hours to 8-15 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

  • •Every CRM change is mapped, so downstream stays correct.
  • •Impact is shown before changes ship, so admins know what they touch.

Where your people stay in charge

Changes to forecast-affecting fields always go to a named approver, because leaders rely on them. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. CRM change mapping for one org.
  • •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:
  • •CRM change mapped: from about 2 days to 15-30 min
  • •Impact shown: from about a day to minutes
  • •Reports verified: from about 8 hours to 8-15 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 sales and revenue page · The full team playbook

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