You would not let the front office rewire the building. Don't let a non-engineer build or automate the AI software your business runs on.
Three decades of engineering, now pointed at AI, so your business can thrive.
Where are you right now?
- Someone on your team is vibe coding your business software. I review it the way a full software team would, then fix what isn't safe.
- You built AI agents. Now what? I define what each one must do, test it on real cases, and put it on work that pays.
- Your competitors use AI. You don't know where to start. I find the work costing you the most hours and start there, with a number to measure.
- Your systems need AI, or need replacing. I connect AI to the data you have, or replace the system when that costs less.
Keeping up with AI is a full-time job. It is mine.
AI changes every month, and your team already has a full-time job. For two years I have spent my days building AI systems and my nights in the communities working out what holds up and what does not.
I bring three decades of building software to that work. The AI tools are new, but the architecture underneath them is not: how the data is structured, who can see what, and how a system recovers when something breaks. Those decisions are what keep an AI system running long after the demo, and they are the part that gets skipped when AI is built in a hurry.
When you hire Gaudet Systems, you get all of it: three decades of architecture, AI-native builds for the past two years, the dozens of systems, and the lessons. Your team stays on the work they are good at. Fixed scope, priced before any code.
In 2006 I co-wrote the exams Microsoft used to certify .NET architects. Now I am rewriting how software gets built.
Twenty years ago, Microsoft brought me to Redmond to co-write the certification exams it used to measure .NET developers. For the past two years I have been building a new software development lifecycle with AI at its center, and using it on every system I build, for myself and for my clients.
AI plans and writes the code. I set the requirements, test against your real cases, and sign off on every change. The models keep changing. The process does not.
Five ways in. Every one ends with a system your team runs.
Built for companies of 10 to 500 people that run on software they did not write and are now adding AI to it. Larger companies come by referral.
Review
A plain-English check of a system someone already built with AI, and a fix list ranked by risk.
Oversight
Guardrails, reviews and training for staff who build with AI.
Build
New systems and AI agents, specified and tested before they reach your customers.
Integration
AI connected to the data in your older systems, or the system replaced when that costs less.
Visibility
Your business in the answer when customers ask AI who to call.
Nobody started a business because they wanted to do data entry. You started it because you were good at something, and somewhere along the way the paperwork started taking the hours you meant to spend getting better at it.
The problem worth solving
One architect. A set of AI agents. No junior bench.
I am Rob Gaudet. I have written production software since 1997. For the past two years I have built dozens of AI systems and spent my evenings in the communities working out what holds up, including the AI meetups I run for Startup Grind New Orleans. I do the learning so your business does not have to start from zero.
Your competitors are working this out too, and some of them will hire help. I would rather be in your corner.
Enterprise and healthcare
- Wells FargoUpgraded 15 production databases and migrated 30-plus data pipelines across the bank.
- General ElectricBuilt the dealership performance scorecard for GE's vehicle purchasing program.
- Blue Cross Blue Shield of LouisianaLed the conversion of every provider web application to the mandated National Provider Identifier.
- Health Plus of LouisianaReplaced paper, Access and Excel workflows with one application.
- AFS LogisticsFour years of logistics and supply chain software.
- Synapse Multimedia and Constant CareDeveloped LILAH, the FDA-cleared remote patient monitoring system. 2012 Louisiana Technology Product of the Year.
- Setpoint Integrated SolutionsBuilt the software department from zero: 20-plus applications, on-time delivery from 45 to 85 percent, defects down 60 percent.
Louisiana and recent
- Ivan Smith FurnitureBuilt the full back office for a furniture retailer: inventory, orders, and the connection to the online shopping cart.
- IKONSoftware standards and review for industry tools the company's own non-developers built with AI.
- NOLA DMCReviewed the AI agents the company had built and set out what to fix before relying on them.
- Startup Grind New OrleansDirector. Bi-weekly AI meetups for the city's founders and developers.
- Cajun Navy Ground ForceFounded it. More than $90 million in relief delivered on $6 million raised, across 20-plus disaster deployments.
Sponsors and press (of the disaster relief work)
- Walmart Foundation, Macy's, Sony Pictures, JetBlue, Airbnb, Delicato WinesBacked the relief platform after seeing what it delivered.
- JeopardyThe organization appeared as a clue on the show.
- Mutant WeatherCo-hosted the television series on climate-driven flooding.
Products founded
- Victora, Aunt Mabel, TextOSRunning today.
- InkThornRunning today.
- FlyplystFounded and raised capital.
- HashParade, ValuebinCo-founded.
- HomeWriteFounded. Acquired by Homestore.com.
Provable, not asserted.
MCDBA, Microsoft Certified Database Administrator
SQL Server administration, performance tuning, T-SQL, migration. Production work since 1997 behind the credential.
Co-Author, Microsoft .NET Architecture Certification Exams
Brought to Redmond, where I co-wrote the exams Microsoft used to certify .NET architects.
Director, New Orleans Startup Grind
Running the city's grassroots AI adoption through bi-weekly meetups and workshops for the regional developer and founder community.
Tell me what the system needs to do.
Rob@GaudetSystems.comEvery client gets a private portal with their process, their progress and their deliverables.
If AI expertise is the gap, that is the conversation. No proposal deck required to start.