Playbooks for AI-native revenue systems.

OPEN—01
AMIT BOKERAI Revenue
Systems Skills

Open-source playbook

AI Revenue Systems Skills

A growing library of agent-ready skills for diagnosing, building and improving AI-native revenue systems.

Open-source systemExplore the project ↗
PB—01
AMIT BOKERAI Revenue Readiness
AI Infrastructure45 min

AI Revenue Readiness

Determine whether a company has the data, workflows and ownership required to deploy AI agents.

Outcome
A clear readiness map
Type
Foundation
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PB—02
AMIT BOKERLead Response System
Sales Systems60 min

Lead Response System

Design the complete system behind fast, reliable lead response—from intake to ownership.

Outcome
No unowned leads
Type
Core system
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PB—03
AMIT BOKERNo-Show Recovery
Orchestration30 min

No-Show Recovery

Build the layer that confirms, reminds, reschedules and follows up without losing state.

Outcome
Fewer missed meetings
Type
Revenue Play
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PB—04
AMIT BOKERRevenue Play Scorecard
Measurement40 min

Revenue Play Scorecard

Define the metrics that show whether a Revenue Play is working and where it leaks.

Outcome
A weekly decision system
Type
Measurement
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How these work

Built to be used.
Updated through evidence.

Each playbook begins with a bounded operational problem and ends with ownership, measurement and a real definition of done.

They evolve as new field evidence challenges the assumptions underneath them.