Technology

Systems Spine

Stop data breaks before payouts do.

The integration layer—how data flows from CRM to payout, and where it breaks.

When to Pull This Lever

  • •ICM implementation or replacement
  • •CRM migration, data quality issues, or payout accuracy problems

The Consequences

What It Moves

ICM selection • integration design • data validation • shadow elimination • reconciliation

Blast Radius

Payout errors • rep distrust • audit findings • manual rework • system abandonment

Scoreboard

Payout accuracy % • reconciliation exceptions • shadow system count • data latency

Default Artifacts

Data flow diagram • integration spec • validation rules • reconciliation SOP

Common Failures

  • •ICM treated as "commission calculator" instead of data integration hub
  • •No data validation before it hits the comp engine
  • •Shadow systems (spreadsheets) running in parallel
  • •No reconciliation between source systems and payout

Fast Wins

  • •Map all data sources feeding the comp engine
  • •Add validation rules at integration points
  • •Kill one shadow spreadsheet per quarter
  • •Build reconciliation report between CRM and ICM

Score This Lever

If you can't answer "yes" with proof, you don't score above 2.

  • 1
    Data flow diagram exists (source → comp engine)
  • 2
    Validation rules catch bad data before payout
  • 3
    Shadow systems inventory exists and is shrinking
  • 4
    Reconciliation runs before every payout cycle
  • 5
    Data ownership is assigned per source

Score: 0 (Missing) → 1 (Documented) → 2 (Repeatable) → 3 (Controlled) → 4 (Optimized)

Maturity Ladder

1

Manual

spreadsheets are the system

2

Tool

ICM exists but data is manual

3

Integrated

data flows but isn't validated

4

Validated

data quality rules enforced

5

Automated

end-to-end with exception handling

The Kit

Starter Artifacts

Data flow diagram • integration inventory • shadow system list • reconciliation report

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