API-First Distribution for Usage-Based AI/ML (Growth)
API-First Distribution playbook for usage-based AI/ML companies at Growth. Tailored to the usage-based business model with implementation steps and expert guidance.
Timeline: 1-2 months
Prerequisites
- ✓ Product-market fit
- ✓ Analytics tracking key events
- ✓ Budget for 1-2 months
Step-by-Step Guide
Discovery & Audit phase for api first in ai-ml. Focus on understanding the landscape and planning.
Strategy Design phase for api first in ai-ml. Focus on understanding the landscape and planning.
Initial Implementation phase for api first in ai-ml. Focus on execution and iteration.
Measurement Setup phase for api first in ai-ml. Focus on execution and iteration.
Optimization Cycle phase for api first in ai-ml. Focus on execution and iteration.
Scale & Systematize phase for api first in ai-ml. Focus on execution and iteration.
Expected Outcomes
- ✓ Validated api-first distribution for usage-based AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● API Call Growth
- ● Developer NPS
- ● Time to First API Call
- ● API Adoption Rate
- ● Developer Signups
- ● Integration Volume
Common Mistakes to Avoid
Ehsan's Growth Commentary
Most AI/ML founders get distracted from API-First Distribution. My recommendation: build repeatable systems before hiring specialists. The companies reaching $10M ARR through API-First Distribution all share this pattern.
The first 90 days of API-First Distribution for AI/ML at Growth: weeks 1-2 audit and baseline, weeks 3-6 first experiments, weeks 7-12 double down on winners. Do not skip the baseline step.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council