There's a California licensing requirement that applies to almost everyone who weighs cannabis before it ships — and it's not a DCC rule. It's weighmaster law, enforced by a different agency entirely, and it's sitting in the industry's biggest compliance blind spot. Here's what it is and how to get ahead of it.
Most cannabis audit checklists focus on the wrong things. Here's what a real audit prep checklist should address — and the sections most operators leave out entirely.
A METRC reconciliation that only compares numbers misses half the point. Here's what a complete reconciliation process covers — and the steps most operations skip.
The right reconciliation frequency depends on your transaction volume, your error rate, and how quickly you need to catch discrepancies. Here's how to determine the schedule that fits your operation.
Many cannabis operators worry about the wrong things during inspections. Here's where DCC enforcement actually focuses — and why the real risk areas are often the ones getting the least attention.
Audit-ready doesn't mean perfect. It means organized, complete, internally consistent, and accessible on demand. Here's what that looks like in practice — and what most operations are missing.
Labeling errors are the most visible compliance failure in cannabis — they're immediately apparent during any inspection and can trigger product recalls that cost thousands.
Storage and transport seem straightforward until an inspector asks why your temperature logs have gaps, your transport manifests don't match receiving records, or your quarantine area isn't actually quarantined.
A sign-in sheet from onboarding day isn't a training program. Here's where cannabis employee training actually falls short and what it takes to build a system that holds up.
DCC inspections follow a pattern. Understanding what inspectors prioritize — and where most operators fall short — is the difference between a routine visit and a corrective action notice.
The most common documentation failures aren't missing logs — they're incomplete ones. Fields left blank, timestamps that don't align, and records that tell a different story than what actually happened.
METRC discrepancies rarely come from a single mistake. They come from process gaps between your physical operation and your data entry workflow. Here's where they start and how to close them.