Getting AI-ready doesn't require a complete overhaul. It's about making strategic improvements to how you structure information, connect systems, and serve customers.
This guide walks through practical steps any business can take — from quick wins to long-term foundations.
Before adding AI, you need to know what data exists, where it lives, and how accessible it is. This phase is about inventory and assessment.
Structure transforms raw information into intelligence. This phase focuses on organizing content so AI can understand context, relationships, and meaning.
Integration breaks down silos. When your tools communicate, AI can orchestrate across platforms — turning fragmented workflows into intelligent automation.
With foundations in place, you can deploy AI that actually works — customer support agents, content generators, analytics assistants, and predictive tools.
The right stack makes readiness easier. Here's what we use and trust:
Airtable, Notion, PostgreSQL — structured storage that scales with complexity.
Zapier, Make, custom APIs — connect everything without code sprawl.
OpenAI, Anthropic Claude, Gemini — choose based on task, not hype.
Segment, Mixpanel, custom dashboards — measure what matters.
We'll help you build the foundation, one step at a time.