[ The Founder ]

When the Stakes Were High, Getting It Wrong Wasn't an Option.

I'm Brandt Bravo. For more than a decade I ran operations where an automated action that fired wrong cost real money and real trust. Accuracy, accountability, and systems that held up under pressure were not preferences. They were the job. Below is my actual operating record, what I can and can't tell you about it, and why I build AI the way I do. No case studies I can't back up, no borrowed logos.

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Brandt Bravo, Founder of Bravo Automation Labs

Founder

Brandt Bravo

Bravo Automation Labs

Based

Florence, KY · Greater Cincinnati & NKY

Verification

LinkedIn →

[ The Foundation Behind the Work ]

What I can't name, and why.

My prior work was under NDA. I can't name the employer or the specific facilities, and I won't pretend otherwise to make a website look better. Everything below is what I can tell you: the scope, the systems, and the outcomes. If you want to press on any of it, ask me on the call. I'll answer directly, and my LinkedIn is linked on this page so you can check the timeline yourself.

[ 01 · The Record ]

Over a Decade Running Multi-Site Operations.

Between 2010 and 2026 I spent more than a decade in operations and automation leadership across multi-national, multi-site environments.

I designed and implemented multi-system automation platforms for inventory control environments running more than $2 billion in inventory. Operations supporting 120 people, with 30 direct reports and additional teams beneath that structure.

The work spanned high-volume, high-ticket manufacturing, fast-moving logistics hubs, and internal infrastructure. I built agentic solutions for the repetitive, run-of-the-mill tasks that quietly eat a workday, wrote the protocols and procedures around them, and drove continuous improvement across the wider operation.

I've worked hands-on in SAP, ShipHero, and ShipStation on the warehouse side, and Jobber and HubSpot on the CRM side. If you're running one of those today, I already know what your data looks like.

01 · Scale

Inventory

$2B+
Run by the platforms I built

02 · Accuracy

Delivered

94% → 99%+
Inventory accuracy, sustained

03 · Response

Reply time

35 min → <1 min
On customer and account inquiries, across the board

Prior employer under NDA · Figures are my own operating results

[ 02 · Why It Matters To You ]

$2 Billion and Twelve Trucks Are the Same Problem.

A $2 billion inventory operation sounds like a different universe than a twelve-truck HVAC company. The number isn't the point. The discipline is.

At that scale you cannot ship a system that mostly works. Every automated action touches something expensive, so every action needs a defined permission, a validation step, an audit trail, and a human it escalates to when it isn't sure. You build it that way, or eventually it takes the operation down with it.

Almost nobody builds AI for small service businesses that way. They ship something that demos well, hand you a login, and move on. When it quotes a price you don't offer or texts a customer at two in the morning, your name is on it. Not theirs.

I build for a twelve-truck shop the same way I built for a $2 billion operation, because the consequence to you is proportionally identical. If your lead response agent gives a homeowner the wrong price, that's your reputation, in a town where reputation is the entire business.

01

Input

Operational Experience

A decade where every automated action touched something expensive, and a wrong one showed up on the P&L.

02

Method

Governed Systems

Defined permissions, validation, audit trail, and a human it escalates to when it isn't sure, all designed before anything is built.

03

Output

Reliable Outcomes

Systems that still behave correctly on the busiest day of your season, when nobody is watching them.

[ 03 · Why Bravo Automation Labs Exists ]

I Ran a Security Analysis on Someone Else's AI Agent.

What I Found Is Why I Do This.

A business owner came to me for help with an AI agent he had already built. On the surface, it worked.

Before I touched anything, I ran a full architecture and security analysis. What I found:

01

Unrestricted front-end and back-end access

02

No guardrails

03

No permission controls

04

No audit trail

05

No rollback

Findings from a single architecture review · Client identity withheld

The agent could surface customer data, expose internal pricing, and execute actions it was never designed to take, all from a single unguarded input.

He had no idea. He wasn't careless. Nobody had ever told him those questions existed.

That's why Bravo Automation Labs is a consulting firm first. Most owners implementing AI have no framework for knowing whether what they've built is safe, or whether they should have built it at all. In a global study of 2,555 executives, seven in ten companies reported minimal or no business impact from AI.4

I'd rather tell you where AI doesn't belong in your operation and be right, than build you something impressive that quietly creates exposure you won't find until a customer does.

[ 04 · What You Get From Me ]

Four Commitments. All of Them in Writing.

01

Access

phone_in_talk

You talk to me directly

No account managers, no junior handoffs, no ticket queue. The person who designs and builds your system is the person accountable for it.

02

Capacity

filter_3

Three active implementations

I accept no more than 3 active implementations at any given time. Ongoing retainer clients are not included in this limit. A capacity decision, not a sales tactic.

03

Governance

shield_lock

Governance from day one

Permission controls, audit logging, execution validation, escalation rules, and rollback are designed before anything gets built. Not added later.

04

Ownership

workspace_premium

You own it outright

Configurations, prompts, agent logic, integration maps, and documentation transfer to you. No license, no subscription dependency, no lock-in, ever.

Bring Me Something You Think AI Should Handle. I'll Tell You Honestly.

Thirty minutes, free, no pitch. Sometimes the answer is that AI is the wrong tool for what you described. I'll tell you that instead of selling you something.

Book a Free Assessment

Or email me directly: hello@bravoautomationlabs.com

[ Sources ]

Every third-party figure on this page is listed below with its original source, sample size, and date, so you can check it yourself. Where a number could not be traced to a real study, it is not on this site.