AI Operations Systems · QSR & Franchise

The AI operating stack
built for the floor,
not the boardroom.

McPherson AI builds AI operations systems for QSR managers and franchise operators — covering labor, food cost, daily compliance, and shift continuity. Built by someone who has actually run the floor.

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100+
Early downloads on ClawHub
16
Years QSR operations
Top 3
of ~600 locations nationwide
What McPherson AI Builds

Operational intelligence
that works like a GM.

Not dashboards. Not reports. AI systems that watch your operation daily, flag problems early, and give your managers the right information at the right time — before the week is over and the damage is done.

⏱
Labor Monitoring
Daily labor-vs-revenue tracking with mid-week alerts. Calculates exactly how many hours to cut before payroll closes — not after.
📊
Food Cost Diagnostics
Weekly COGS variance analysis across four control levers: ordering, portioning, recipes, and waste. Catches drift weekly instead of monthly.
✅
Daily Ops Compliance
Three-point daily compliance checks — opening, mid-shift, and closing. Builds a running record and flags gaps before they become audit findings.
🔁
Shift Continuity
End-of-shift reflection system that captures wins, bottlenecks, and handoff notes. The morning GM gets an alert. Nothing falls through the cracks.
🔍
Inventory Variance
Compares theoretical usage from sales against actual usage and deliveries. Surfaces unexplained loss before it compounds into a P&L problem.
🎯
Pre-Rush Strategy
15-minute pre-rush check-in. Confirms A-positions, surfaces call-outs, adjusts tactics for the volume ahead. Forces 60 seconds of strategic thought before the chaos starts.
Why This Exists

Most operators find out too late.

01
The P&L comes too late to act on.
By the time the monthly numbers hit, the hours are worked, the food is wasted, and the only option is "do better next week." The problem isn't the data — it's the timing.
02
Generic software doesn't think like an operator.
Most tools give you a dashboard. They show you what happened. A real operator tells you what it means, what's causing it, and what to do about it before the week ends.
03
Managers are stretched thin and information is scattered.
A shift lead shouldn't need to manually calculate labor drift while running a lunch rush. The system should catch it and surface it at the right moment — not buried in a report.
"Most operators find out they're over on labor when the P&L hits. By then it's too late. The hours are worked and the money is gone."
Blake McPherson · Founder, McPherson AI
16-year QSR operator · Top 3 of ~600 locations nationwide
The Founder
Blake McPherson
Founder · McPherson AI · San Diego, CA
16 years in QSR operations — started at 19, became GM at 30
Consistently top-performing location for sales — ranked among top-performing locations nationwide for multiple consecutive years
$2.7M annual P&L · 500+ guests per day · teams of up to 25
100% EcoSure compliance across all three audit cycles — consecutive years
Navigated a $250K+ AOP shortfall through active COGS, labor, and supply cost management
A.S. Information Systems & Business Administration · admitted to SDSU Global Campus BBA program, starting August 2026

Built from the floor,
not a whiteboard.

McPherson AI exists because I spent 16 years solving the exact problems these systems address — manually, every day, before AI tools made it possible to automate them.

I know what it costs when labor runs 2% over target for three weeks before anyone notices. I know what a $250K AOP shortfall looks like when you have to claw back margin one cost line at a time. I know what it feels like to walk into a shift with no handoff and spend the first 30 minutes piecing together what happened yesterday.

The systems I'm building are the systems I wish I'd had — operational intelligence that thinks like a senior GM and flags the right things at the right time. My goal is to put that judgment in the hands of every QSR operator who can't afford a full-time ops director.

This is not a consulting pitch. It's a product built from lived experience, deployed on infrastructure you control, and tuned to the specific margin and execution problems that determine whether a QSR location makes money.

Current Solutions

The QSR Operations Suite.

Eight interconnected systems covering the full operating week — from pre-rush to shift handoff, from daily compliance to weekly margin control.

Daily
Daily Ops Monitor
Three-point daily compliance — opening, mid-shift, closing. Running record. Gap detection.
Weekly
Food Cost Diagnostic
COGS variance analysis. Four-lever diagnosis. Catches drift before the monthly P&L.
Daily + Mid-week
Labor Leak Auditor
Daily labor tracking. Mid-week alert with hours-to-cut calculation. Clock padding detection.
On-demand
Ghost Inventory Hunter
Theoretical vs actual usage comparison. Surfaces unexplained loss before it compounds.
End of shift
Shift Reflection
Three questions at close. Captures wins, bottlenecks, and handoff notes. 5am alert to morning GM.
Monthly
Audit Readiness
30-day EcoSure prep protocol. Daily compliance system. Built from a 100% audit record.
Weekly
P&L Storyteller
Variance narrative with diagnostic hierarchy. Plain-language explanations for owners who don't live in the numbers.
Pre-shift
Pre-Rush Coach
15-min pre-rush check-in. A-position confirmation. Tactical adjustments for the volume ahead.
Early Signal

The market is moving.
We're already in it.

100+
Early downloads on ClawHub in week one — no paid marketing, no brand recognition yet.
Niche
One of the only publishers focused specifically on QSR manager operations on the platform.
Industry demand is documented.
Nation's Restaurant News reports 37% of operators plan to adopt automated labor management systems. Scheduling and labor optimization is cited as the #1 operational AI priority.
Enterprise is already moving this direction.
Yum China is piloting an AI assistant for store managers covering labor scheduling, inventory management, and food quality. The category is real — the independent operator version doesn't exist yet.
First-mover position in an underbuilt niche.
QSR manager operations is still an underbuilt niche, and McPherson AI is among the early focused publishers in the category.
Now opening conversations with early pilot operators.
San Diego market, Q2 2026. Small number of QSR and franchise locations — setup included.
Get Started

Let's talk about
your operation.

McPherson AI deploys tailored AI operator systems for QSR teams, configured to your workflow and delivered through simple interfaces your managers can actually use. If you're managing a high-volume location and want to catch problems before the week is over — reach out directly.

Email Blake Directly Browse the skills on ClawHub →