Use case
Use case3 min readBy The Data Workers Team

Post-acquisition data integration, run by agents

After close, the acquired company's data estate has to be mapped, migrated and merged on a 100-day clock, usually with consultants. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. After close, the acquired company's data estate has to be mapped, migrated and merged on a 100-day clock, usually with consultants.
  • •What changes. Agents inventory the acquired estate, map it to the platform's model and migrate in approved waves with parity checks.
  • •What stays with your people. Cutover decisions: they affect the business.
  • •The result. Integration hits the 100-day plan with every number proven.

The problem today

After close, the acquired company's data estate has to be mapped, migrated and merged on a 100-day clock, usually with consultants.

What changes with Data Workers

Agents inventory the acquired estate, map it to the platform's model and migrate in approved waves with parity checks.

The workflow: Data Context & Catalog agent (generate_documentation) → Schema Evolution agent (generate_migration) → Data Migration agent (validate_migration) → Quality Monitoring agent (run_quality_check).
Fig. 1:The workflow: Data Context & Catalog agent (generate_documentation) → Schema Evolution agent (generate_migration) → Data Migration agent (validate_migration) → Quality Monitoring agent (run_quality_check).

The workflow, step by step

  1. 1.The Data Context & Catalog agent calls generate_documentation and inventories the acquired estate.
  2. 2.The Schema Evolution agent calls generate_migration and maps to the target model.
  3. 3.The Data Migration agent calls validate_migration and moves workloads in waves.
  4. 4.The Quality Monitoring agent calls run_quality_check and proves parity.

The impact metrics we move

  • •Estate inventory: from about a month to 1 day
  • •Migration wave: from about a month to ~1 wk
  • •Parity check: from about a week to ~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

  • •Inventory and mapping run as a mission, so integration starts in week one.
  • •Every wave is parity-checked, so nothing breaks at cutover.

Where your people stay in charge

Cutover decisions always go to a named approver, because they affect the business. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. Inventory and one migration wave.
  • •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:
  • •Estate inventory: from about a month to 1 day
  • •Migration wave: from about a month to ~1 wk
  • •Parity check: from about a week to ~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 private equity hub · The full team playbook

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