AI proposes.
People decide.
WAM DevTech builds systems where the model does the work it is good at and a person keeps authority over anything that matters.
Federal, commercial, and municipal, at the same time.
- Most vendors would put a model in every step
- Placement decided before a line is written
Current engagements
Three regulatory regimes, three stacks, one architect
The constraints do not transfer between them. The judgment does.
Built to FedRAMP Moderate, ERISA audit exposure
Tenant isolation enforced at the data layer
Legacy platform migration, active
Where it usually starts
Most of the work that finds us starts the same way
By the time we get the call, the risk of a rebuild feels worse than the cost of staying put. That calculation is usually wrong, and showing why is the first thing we do.
Legacy CMS modernization is the work that comes after that conversation.
- The original developers are gone
- Custom plugins and patches nobody documented
- Every change risks breaking something unrelated
- Content locked in a CMS the vendor stopped supporting
- A redesign that has been postponed three times
What actually changed
The Coding Was the Part That Compressed
For decades the work was split. Someone gathered requirements, wrote them down, and handed them across. Someone else turned them into code. The gap between those two people is where most software projects went wrong.
AI absorbed a large share of the writing. What it did not absorb is knowing what should be written, and that was always the harder half. The programmers who were good at this were never only writing code. They were sitting in operations meetings, learning how the business actually ran, and quietly correcting requirements that did not match reality.
That role is now one job instead of two. It is why WAM DevTech puts architects in the code and in the room where the business decisions get made. The compression is real, but it happened to the typing, not the thinking.
The tools got faster. The judgment did not get easier.
What we do
Modernize | Accelerate | Deliver
Modernize
Legacy systems that other shops won't touch? We handle them. Whether you need maintenance, upgrades, or a path to modern tech, we assess the full picture and modernize what matters.
Learn MoreAccelerate
AI reads any codebase quickly, which is what makes previously uneconomic work possible. How it gets used depends on the work. On a greenfield build it generates under direction. On an inherited system it reads first, and the changes that follow are surgical.
Learn MoreDeliver
Production-ready code, deployed to your systems. Every piece reviewed by experienced eyes before it touches your environment. No code ships without validation.
Learn MoreThe Cost You Do Not See
That "1 Hour Fix" Is Never Just 1 Hour
You found a freelancer who can fix your bug in an hour. Great. But how much time did you spend:
- Vetting: Finding someone competent, checking references, reviewing portfolios
- Onboarding: Giving them access, explaining your systems, security reviews
- Knowledge transfer: Explaining how your code works, what you've already tried
- Oversight: Reviewing their work, testing, making sure they didn't break something else
- Risk: What if they disappear? What if the fix creates new problems?
One team that already knows your systems. No vetting. No onboarding. No knowledge transfer every time something breaks. Maintenance, active engagement, or new build — pick the engagement that fits.
The Freelancer Math
Who We Work With
Sound Familiar?
We work best with teams who've been told "no" by other shops — or who've learned the hard way that cheap and fast usually means expensive and slow.
Legacy System Owners
ColdFusion, Classic ASP, COBOL, VB6 — the systems "modern" shops won't touch. Your system still works. You just need someone who can maintain it.
Teams Without Their Original Devs
The people who built it are gone. The documentation is thin. You need someone who can reverse-engineer what's there and keep it running.
Cleaning Up Someone Else's Mess
Fast and cheap sounded great — until you saw the code. Now you're paying twice: once to build it, again to fix it. We've been there. We know how to untangle it.
Projects You Keep Postponing
The website redesign. The CMS migration. The "we'll do it next quarter" project. AI changed the math. What felt too big is now doable.
Why choose us?
Senior Eyes. Deliberate Placement.
The Model Proposes
AI handles analysis, drafting, and refinement. Architects decide what gets built, where the model belongs in the system, and what never touches it. Nothing reaches a client environment without review by someone accountable for it.
Legacy or Modern, It Does Not Matter
AI does not care whether your system is Python, Java, .NET, ColdFusion, or COBOL. It reads any codebase, which is why we take on systems most shops decline. What changes is how it is used. A greenfield build and an inherited system are different problems, and treating them the same is how modernization projects go wrong.
Fixed Price, Because We Can Scope It
Hourly pricing exists to manage uncertainty. When an AI-assisted assessment retires most of that uncertainty up front, fixed pricing becomes the honest model rather than a gamble. You know the number before work begins.
Next step
Not sure whether your problem needs AI at all?
A 30-minute discovery call is a straightforward conversation about what you are trying to do and whether we are a fit. Sometimes the answer is that the thing you were quoted for is not the thing you need. No sales pitch, no obligation.