Build vs Buy: When a Dispensary Should Build Its Own AI Tool

"Should we build our own AI tool?" is the question every forward-thinking operator is asking right now. The honest answer is: sometimes yes, and the discipline of knowing which is worth more than the build itself.

The build decision isn't about coding

With modern tools and MCP integrations, building a custom AI tool is genuinely within reach of an operator who understands their business — not just a developer. The real constraint isn't technical skill. It's whether the problem is worth solving, and whether you have the data to solve it.

Build when…

• It sits on data you already have. If the data is live and connected, a custom tool can act on it immediately.
• It's boring to build. Inventory intelligence, restocking, alerting, reporting — these compound, and nobody sells them perfectly for your specific operation.
• It saves a measurable amount of time or margin every week. That's the test — not "it's cool" but "it pays for itself in margin or hours."
• No vendor serves your exact workflow. Your compliance setup, your door network, your specific reporting — generic SaaS often misses these.

Buy when…

• A platform already does it well. Don't rebuild your POS or your compliance platform. Those are expensive, regulated, and not your differentiator.
• It's a commodity. Email, calendar, generic CRM — buy it. Building commodity tools is how you burn budget and miss deadlines.
• Compliance risk outweighs the gain. If a wrong answer creates a compliance violation, the vendor's liability and testing are worth paying for.
• You can't keep it maintained. A tool you build needs someone to own it. If that's not you or a committed partner, it'll rot.

A simple scoring framework

Score each candidate on two axes: how much it moves your number, and how well the market serves it. Build the ones that score high on impact and low on existing coverage. Skip everything that scores low on both.

The operators winning with AI right now aren't the ones building everything. They're the ones who built the two or three things that matter most to their specific operation — and bought or skipped the rest.