The Forward Deployed Operator
Operational patterns from inside growing businesses. Ysimer González goes inside scaling operations, fixes the process, and builds the system that keeps it running. Weekly. Free.
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See every issue ↓The AI Hiring Screen: Instinct vs. Claude vs. Grok
Building the bots is the easy part now. What decides whether an AI assistant helps or hurts is placement: where it sits, what it holds, what it can touch, and who signs off on what it sends.
Five questions to run on any assistant before it touches real work: the Seat, the Initiative, the Load, the Keys, and the Sign-off.
Read article → September 21, 2026SOX for Agents
Nothing that broke at Hugging Face was a model problem. An unmeasurable task, a missing stop condition, an unauthenticated channel and a monitoring gap. Four causes, all of them process.
Three questions tell you whether you built an automation or an agent. If it's an agent, five more tell you whether you can govern it.
Read article →From the archive
AI Readiness Isn't Bought. It's Built.
AI projects don't fail because the model is weak. They fail because nobody owned the readiness: the data, the problem, the pace and the people. That's the work of a Forward Deployed Operator.
Read article →The AI Job Panic Is Asking the Wrong Question
The safest role in the AI economy is the one that makes AI actually work inside a business. Your experience is the foundation. AI is what you build on it.
Read article →How I Built My Agent Team in Grok (and What Each One Actually Does All Day)
The agents were the easy part. The handoffs, the schedules and one sign-off rule are what make it a team.
Read article →The AI Hiring Screen: Instinct vs. Claude vs. Grok
The hard part isn't building the bots. It's deciding their role before they touch real work.
Read article →SOX for Agents
Nothing that broke at Hugging Face was a model problem. All four causes were process failures, and you already own the framework that fixes them.
Read article →Three Questions to Ask About Any AI in Your Business This Week
The doom argument cannot be settled from outside the labs. The governance question can, and it arrived on your staff's phones this week.
Read article →One Name, Everywhere
Can you answer the simple question of how much are you spending per supplier?
Read article →Your product has three names. And your system doesn’t know which one is which.
Data governance... UPCs... SKUs.. all of my favourites in one place.
Read article →The Standard Solution Is Sized for Somebody Else
The operator's first move is refusing the default answer. Whether the obvious solution is too big or too cheap, it is almost never sized to your actual constraint, and right-sizing the fix is the entire job.
Read article →Fix Your Data Where It’s Born
The margin you trust is only as good as the moment it was born. Fresh, defined, owned: a number that fails any one of the three was born wrong, no matter how clean the dashboard on top of it looks.
Read article →Your Team Already Has the AI. Nobody Pointed It at the Work.
On the show this week, a founder says she avoids automating because she is not sure how to ask. This is what we install when we sit down with a team for an afternoon.
Read article →What You Do Before the Tool Decides Everything
On the podcast this week, the line we kept circling: it is not the tools, it is what you do first. What that looks like in a real operation.
Read article →The market is hiring for 10% of the problem.
There are more than 1,200 open jobs for the engineer who builds your AI. There are a handful for the person who makes it work.
Read article →The best thing I built was a team that didn’t need me
Revenue doubled from $150M to $300M. My job was the operation underneath. The tools were the last thing I touched.
Read article →Have you thought of lead time as a number in your cash-flow plan?
A quoted lead time is a hope. A tracked one, with a date on it, is a plan.
Read article →Different Mission, Same Operational Pattern
A special edition on purpose, prevention, and the infrastructure underneath the mission. Different worlds, same pattern: drowning in data collection, starving for decisions.
Read article →Stop Negotiating Supplier Rates on a Gut Feeling
Walk in with three numbers.
Read article →You've Outgrown Your Co-Packer
Here's how to vet the next one and have AI help you through it.
Read article →Stop Losing Money on Consignment Inventory
And stop tracking it in your head. Deliveries, sales, and invoices in one place.
Read article →I Asked 10 Ingredient Distributors How They Handle Small Brands
Here's the Pattern.
Read article →Inventory Management for Small Retailers
A Real Build Walk-Through
Read article →CPG Unit Economics
The 8 Numbers That Decide Whether You Scale or Stall
Read article →Portfolio Margin, Not Product Margin
How We Turned a Bleeding Bestseller Into a +18% Anchor
Read article →Three Patterns We Find In Every Operation
Thirty operations. Three dysfunctions. Every time.
Read article →The Truth Audit: The Three-Question Diagnostic We Run Before Touching Any Tool
The 3-question diagnostic we run in the first week of every engagement.
Read article →The Information Infrastructure Pattern
Why Every Breakdown This Quarter Had the Same Root Cause
Read article →From 3M to 10M: The 3 Systems That Break First
This is the Build Log for the three systems we see break first, every single time.
Read article →Why 80% of AI Implementations Fail Before the First Prompt
The Process-Before-Agents Framework
Read article →We Audited an 800K E-Commerce Brand's Inventory Process. Every Quarter Was Leaking Cash.
The 3-tier counting cadence that catches dead stock before it compounds.
Read article →The $47K Sitting in Your Warehouse Right Now
From 2.5M at a Fortune 500 to 30K at a growing brand, the pattern is always the same.
Read article →The Margin Trap I Keep Seeing in Growing Food Brands
Three brands, three different products, one identical blind spot in how they calculate profitability.
Read article →Don't miss the next one.
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Vantelira takes on your operations problem as a project and delivers it with Forward Deployed Operators trained in our method: a project, a fractional engagement, or an embedded team. Based in Montréal, working with teams across Canada and the US.