Too much manual work.
Repeat steps, rebuilt reports, and time spent hunting for answers.
Your team should
run the business.
Not hold it together.
We help founders of growing DTC, eCommerce, and CPG brands put AI to work. We connect your tools and build useful custom software.
Work with an experienced operator and software engineer. You don’t need to hire full-time or manage the build.
Matt LadyeCommerce operations10 years
Mike LadySoftware engineering12 years
Your best people shouldn’t be the workaround.
Growing brands accumulate spreadsheets, follow-ups, and manual fixes. Those workarounds become operational debt. It slows decisions and drains teams. The cost reaches your culture—not just your profit margins and growth rate.
Gaps between tools.
Your people carry information between systems that should work together.
Something your tools can’t do.
A new app, better use of data, or a process you haven’t built yet.
The answer isn’t always another app.
We start with what matters to your business—and whether the fix is worth the cost. Then we combine the approaches that fit.
Better workflows
Clear steps, clear owners, better use of existing tools.
Connected tools
Data moves between tools without manual handoffs.
AI and automation
Automate routine work. Keep checks where they matter.
Custom software
Purpose-built apps when existing tools don’t fit.
We keep what fits. Connecting your tools or changing their setup may be enough.
Good, fast, affordable.
The trade-offs have changed.
Better tools should change how the work is delivered. We pair eCommerce operations with hands-on engineering to cut handoffs, test a useful starting point, and put working systems into daily use.
eCommerce operations
Start with your bottleneck, the people doing the work, and a useful measure of improvement.
AI-assisted engineering
Use current AI tools to reduce repetitive build work. Mike checks the results against real tasks.
Direct founder delivery
Matt and Mike scope and deliver the work. Decisions stay close to the people building it.
Start with what AI could make possible. We assess ideas against your business needs and use the tools that fit. The size and complexity of the work still affect timing and price.
Can you fulfill that wholesale order?
Example: a wholesale order. Bring orders, stock, and retail commitments together before sales makes a promise.
Illustrative example—not client work.
Check the inputs.
- Online orders
- Warehouse stock
- Retail commitments
Bring the facts together.
One review, with sources and update times.
One of two outcomes
Old stock data? Hold.
Operations checks the stock before sales commits.
Stock confirmed? Go.
Record the source and decision. Sales can make the promise.
Checks built into the workflow
Old data, failed connections, and missing approvals.
How we would measure improvement
Time to confirm stock, manual follow-ups, and promises made using stale data.
Launch a useful system.
Built for your brand.
Start with one useful system for your business. An AI idea, a connected workflow, or a custom app. We agree what it needs to do, build it, and train your team to use it.
Projects start at$15,000
Typical timeline: 4–8 weeks
From project kickoff.
Done for you. Built to be yours.
You bring the business context. We handle design, engineering, and testing. We agree who will use the system, which tools it connects, and how we’ll check that it works.
See how we startWe agree the scope and price before work begins. Timing depends on the work, the tools we connect, and access to your systems. We agree the schedule before starting.
From business problem to daily use.
- Define the result
Choose one job the system needs to do and who will use it. Agree what should improve and how we’ll check the result.
- Prove the hard part
Test the part we’re least sure about with agreed examples. If a prototype is needed, see what works and what doesn’t before the full build.
- Build for daily use
See the work in weekly demos. Before starting, we agree when you’ll see the first working version. We test real tasks, errors, approvals, and ways to recover.
- Put your team in control
Train users, name the owner, and hand over code, guides, and recovery steps so your team can run it.
Scope, ownership & support.
- Scope & price
- Agree who it’s for, what we’ll build, what’s included, and the price and schedule. We agree any changes to the scope separately.
- Agreed checks before final payment
- We agree how to check the system before building. Final payment is tied to acceptance. Read how the protection works.
- Ownership & costs
- Agree access, software rights, running costs, and who will look after the system.
- Use & recovery
- Tested against the agreed goal and used in real work. Your team has a named owner and a tested way to recover if something goes wrong.
- 30-day support
- Builds include 30 days of agreed support. Any later work is agreed separately.
Other ways to work with us.
Focused support for an existing app or a specific team workflow.
Get your AI-built app ready for daily use.
Starting at$10,000
PrototypeTested release
We review the code, make agreed fixes, and test the app. We add safe ways to update it and recover if something goes wrong.
We review before quoting. Some apps need a rebuild.
Set up a shared AI workspace.
Starting at$5,000
Files + toolsShared workspace
An AI workspace in HQ for one agreed team workflow, with connected files and tools, testing, and team training.
HQ is optional. Software fees are separate.
eCommerce Experience.
Engineering depth.
The operator and the engineer are in the same conversation. Work directly with Matt and Mike, from the first call through delivery.
Matt Lady
Co-founder · eCommerce operations
On your project
Matt turns your business priorities into a clear scope.
10 yearsacross DTC, eCommerce, and agency operations.
- Director of Operations at Creative Milkshake. Led hiring and operations as the team grew from 15 to 30 people. Built systems to prepare for an exit.
- Advised 30+ DTC brands as a media buyer and growth advisor.
- Growth leadership across consumer brands and eCommerce software.
Mike Lady
Co-founder · Software engineering
On your project
Mike leads engineering, testing, and the technical handover.
12 yearsbuilding production software at a Fortune 500 company.
- Leads the AI tooling team whose tools help 10,000 engineers use AI at work.
- Leads a DevOps guild across North America and builds production release pipelines.
- Builds DIALED in public. The code is open to inspect.
A clear plan.
Before you commit.
Meet with Matt, let us review the work, then decide on the next step.
Follow-up within one week of receiving the agreed materials.
First call: find the fit.
Book a 30-minute intro call with Matt. Discuss the problem, desired outcome, and fit. No exact build brief needed.
We review and plan.
We review the agreed process, tools, or code and recommend a practical starting point.
Second call: decide.
Walk through the findings, scope, price, and proposed timeline. You decide whether to proceed.
What would you like
to build or improve?
Bring an AI idea, something your tools can’t do, or work that takes too much time. We’ll help you choose a useful starting point and handle the build.
Book an intro call matt@enterprisevibecode.com