Where AI actually belongs in the Growth Stack
AI is becoming another layer of growth infrastructure, but adding AI does not automatically create a better system.
How Growth Works examines where AI agents, models and AI-enabled automation can create genuine leverage across customer data, lifecycle, analytics and operations, and where conventional software and deterministic automation remain the better choice.
Where AI Fits In Growth Infrastructure
Discover how our systems integrate automation, AI agents, and customer data to accelerate modern digital business infrastructure.

1. AI-Assisted Work
AI helps people perform existing Growth tasks faster or better.
Examples include research, analysis, copy development, segmentation, data interpretation and workflow design.

2. AI-Enabled Automation
AI introduces judgement or interpretation into workflows that conventional rules-based automation cannot easily handle.
The key question is whether AI actually improves the workflow enough to justify the additional variability, cost and complexity.

3. AI Agents
Agents can potentially plan and execute multi-step tasks across multiple systems.
HGW examines where this autonomy creates genuine leverage, where human oversight remains necessary, and where a conventional workflow is still more reliable.
This gives you a useful HGW maturity model:
AI Assistance → AI Automation → AI Agents
The AI Infrastructure Question
What should AI be allowed to observe, decide and do?
An AI system may need access to customer data, analytics, CRM records, lifecycle platforms and operational tools. That creates architectural questions around data quality, permissions, reliability, observability and human oversight.
Adding AI to fragmented infrastructure can amplify existing problems rather than solve them.
Before introducing agents or AI automation, businesses should understand the systems, data and workflows the AI will depend on.
AI for Growth Research
This section highlights key resources designed to support AI adoption and digital growth infrastructure.

Where AI Agents Actually Belong In A Growth Stack

AI Automation vs Traditional Automation



