Ehsan Jahandarpour
AI Growth Stack Model (AGSM)SaaSGrowth

AI Growth Stack Model (AGSM): AGSM for Enterprise AI Stack Architecture

Designing a comprehensive enterprise AI growth stack using AGSM layers with tool selection criteria per layer.

How to Apply

1

Evaluate data infrastructure: CDP, analytics, attribution, data quality. Score 1-10. Target: 8+.

2

Map all content, communication, and creative tools. Identify overlap. Consolidate to max 3 per function.

3

Assess testing velocity, personalization coverage, and prediction accuracy. Target: testing 20+ experiments/month.

4

Evaluate whether Foundation-through-Optimization layers support autonomous agents. Deploy only when layers 1-3 score 7+.

Expected Outcomes

  • ✓ Coherent enterprise AI stack architecture document
  • ✓ Clear procurement criteria per layer
  • ✓ Reduced tool sprawl and improved data flow

Real-World Examples

Common Pitfalls

⚠Building the architecture document without securing executive sponsorship for consolidation
⚠Trying to achieve perfect scores in all layers simultaneously — build bottom-up

Ehsan's Insight

Enterprise AI stack architecture is the most impactful project a CTO and CMO can collaborate on — and the one they almost never do. CTOs think in infrastructure. CMOs think in campaigns. Neither thinks in layers. AGSM bridges that gap. When I facilitate an AGSM workshop with both a CTO and CMO in the room, the conversation changes within 30 minutes. The CTO starts understanding why the marketing team keeps buying tools (the layers above Foundation are empty). The CMO starts understanding why the tools are not working (the Foundation Layer is crumbling). I had one session where the CTO said, "We have been investing $400K/year in Foundation tools that the growth team does not use." The CMO replied, "We did not know they existed." That conversation alone justified the entire engagement. Stack architecture is a communication problem before it is a technology problem.

EJ

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

Frequently Asked Questions

When should I use AI Growth Stack Model (AGSM) for enterprise stack architecture?
Designing a comprehensive enterprise AI growth stack using AGSM layers with tool selection criteria per layer.
What are the steps in AGSM for Enterprise AI Stack Architecture?
There are 4 key steps: Foundation audit, Execution rationalization, Optimization maturity, Intelligence readiness.
What results can I expect from AGSM for Enterprise AI Stack Architecture?
Coherent enterprise AI stack architecture document. Clear procurement criteria per layer. Reduced tool sprawl and improved data flow.
What are common mistakes with AGSM for Enterprise AI Stack Architecture?
Building the architecture document without securing executive sponsorship for consolidation. Trying to achieve perfect scores in all layers simultaneously — build bottom-up.