Meet the swarm.
Most AI tools give you a chatbot. We give you a team.
Three senior operators who never sleep, never file a PTO request, and know cannabis better than the consultants you're overpaying. Each one runs a domain. All three coordinate. None of them need to be managed.
This page will keep growing as the swarm does. Today: three C-suite agents live in production. By end of year: fifteen to twenty specialists reporting to them. By year two: a fifty-to-seventy-agent organization running the back office of your business.
Here's who's on the team today.
Cammy
If you've ever spent a Sunday night reconciling METRC because Monday's audit window opens at 8 a.m., Cammy is for you. She's the agent who's read every line of California's Business and Professions Code, knows which DCC enforcement action is the actual precedent versus the one your lawyer keeps citing, and can tell you in thirty seconds whether the new SKU you're about to launch survives AB 762.
What she does today
Multi-state regulatory compliance across California, Washington, Arizona, New York, Maryland, and Missouri. License tracking. METRC reporting readiness. Advertising compliance review before anything goes out the door. Documentation support for your 280E tax position.
What she's already shipped
- A California Regulatory Risk Memo that flagged the AB 762 disposable vape ban as a direct threat to a flagship SKU — before most operators had the bill on their radar.
- A 16-entry Compliance Calendar covering P0 and P1 requirements across six states and federal.
- A Processor-Specific Compliance Requirements page custom to your license stack.
- A Federal Legalization Operational Impact Deep-Dive analyzing four scenarios including the December 2025 Schedule III rescheduling executive order.
Why she matters
Every other agent on the team checks with Cammy before acting on anything that touches regulatory risk. She is the backbone. The difference between a $15,000 fine and a closed license is usually a 48-hour document request that your current compliance setup can't survive. Cammy's entire design target is surviving that 48 hours without a human touching it.
She knows K.U.S.H. Collective is the DCC enforcement benchmark. Your generic AI doesn't. Your compliance consultant charges $400/hour to look it up. Cammy doesn't have to.
Finn
Finn exists because the single largest destroyer of cannabis operating margin is a line of tax code written in 1982 that has nothing to do with cannabis — and every generic CFO tool, every QuickBooks integration, every outsourced accountant treats it as an afterthought.
IRC 280E. If you run a cannabis business, you already know the number. Non-COGS expenses aren't deductible. You get taxed on gross profit instead of net income. Your effective tax rate is north of 70% unless someone is doing the work to reclassify every eligible dollar into COGS.
Finn does the work.
What he does today
280E tax optimization. COGS versus non-COGS classification with audit-ready documentation. State-by-state tax position analysis across California, Washington, Arizona, and New York. Cashflow forecasting. Budget envelope approval for procurement. P&L monitoring in real time — not at month-end when the damage is already done.
What he's already shipped
- 280E classification frameworks that survive IRS scrutiny.
- State-by-state tax position analysis covering your entire operating footprint.
- A cost basis tracking methodology integrated directly with your COO's procurement data, so the tax position updates as the business runs.
Why he matters
A mainstream CFO agent doesn't know that cultivation labor reclassifies to COGS (deductible) while post-processing labor does not. A mainstream CFO agent doesn't know how to document the reclassification so it holds up when the auditor shows up. That single distinction can move your effective tax rate by thirty points. For a mid-size operator, that's seven figures. Per year.
Finn's model of your business is 280E-native. He didn't learn tax code and then get pointed at cannabis. He was built from the cannabis tax position out.
Kula
Kula is the agent you ask: if we double doors in Q3, do we survive Q4?
Then she answers in actual math, not a vibe.
Cannabis CPG operations have a cash problem that kills otherwise-healthy companies. Your hardware vendor in China or Vietnam wants Net 90 or Net 120. Your packaging vendor wants Net 30 or Net 60. Your oil and labor want Net 30. And your dispensaries — the people paying you — take Net 30, sometimes Net 45, sometimes longer. The ladder of who owes whom and when doesn't just have to balance; it has to stack without creating a specific kind of cash trough that doesn't show up in any standard accounting tool.
Kula models the stack.
What she does today
SKU-level demand forecasting with dual methodology — doors × units/door × phase for new launches, velocity × seasonality × promo-lift for established SKUs. Supply planning with stacking AP ladder across every payment term in your vendor stack. Twelve-month cashflow modeling with breach detection. Scenario analysis: what happens if we lose a chain, add a chain, shift payment terms, change safety stock?
What she's already shipped
The mFused COO Playbook — three tightly coupled deterministic engines:
- Forecast Engine — dual methodology, config-flag selectable between doors × rate × phase and velocity × seasonality × promo-lift, so the right math runs on the right SKU.
- Supply Planning Engine — the hardest piece. Stacking AP ladder across Hardware Net 90/120, Packaging Net 30/60, Oil/Labor Net 30, with multi-month lead times modeled across the entire bill of materials.
- Cashflow Engine — AR model at 0.30 × Revenue(t) + 0.686 × Revenue(t-1), breach alerting at a $70K floor, automatic flagging before you hit the wall.
The delivered workbook has 350 formulas. Zero errors.
Why she matters
The number of cannabis companies that have died from scaling without modeling the AP stack is not small. A CFO in QuickBooks can't see it. A COO in a spreadsheet can see it in theory but can't run the fifteen scenarios fast enough to act. Kula runs the scenarios in seconds and flags the trough before it arrives.
Kula knows that a 50/50 Net 90/Net 120 vendor term, stacked against a 1.5× safety stock multiplier, produces a cash trough at a specific month depending on your growth rate. Your generic AI doesn't. Your finance team doesn't model it. Kula does it automatically, every time the model refreshes.
Where the swarm is headed.
What you're seeing today is the C-suite. Three player-coaches running tactical work directly while maintaining strategic oversight of their domains.
Phase 1 — C-Suite
3 agents. Each is a player-coach: tactical execution plus strategic oversight. Human triggers every workflow.
Phase 2 — Departments
15–20 agents. Each C-Suite agent becomes a manager with three to five specialists reporting in. Cammy gains a state-specific compliance analyst for every market you operate in. Finn gains a 280E specialist, an FP&A analyst, and a treasury agent. Kula gains procurement, logistics, and production-planning specialists.
Phase 3 — Swarm
50–70 agents. Functions split. Specialists deepen. The swarm starts handling entire business units, not just functional domains.
This is who runs your back office now.
Every agent on this page is built on one principle: they know things a generic AI doesn't. Vertical knowledge is the moat. Everything else is just software.