commercial-policy - Design and lint commercial discount policies
Designs data-backed discount matrices, exception flows, approval governance, and lint reports for commercial policies.
Tags
Updated: 2026-09-28Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Build discount matrices
- Route discount exceptions
- Enforce compensating commitments
- Assign approver tiers
- Lint governance defects
- Generate audit-trail metadata
- Flag precedent risk
- Publish versioned policies
Inputs
- CRM deal history
- ARR values
- Discount percentages
- Term lengths
- Payment terms
- Strategic value tiers
- Win-loss outcomes
- 12-month NRR
- Margin floor
- Discount cap
- Industry profile
- Target NRR
Outputs
- Four-dimensional discount matrix
- Exception approval flow
- Compensating commitments
- Audit-trail metadata
- Ranked lint findings
- Policy review flags
- Versioned policy artifact
Requirements
- Python standard library runtime
- CRM data access
- Existing pricing model and list price