End-of-life technology
The platform, runtime, or infrastructure no longer has a safe support path.
Legacy systems
Understand what actually holds the business up, what is risky, and whether a staged replacement now makes sense — before anyone commits to a rewrite.
When something actually changed
A deadline, a person leaving, or a system you can no longer change — that is a reason. We start with the constraint now affecting continuity, risk, or the roadmap. Not with the assumption that newer technology is automatically better.
The platform, runtime, or infrastructure no longer has a safe support path.
The person who understands the system is leaving, retiring, or already overloaded.
A requirement now depends on behavior the existing system cannot show or support.
A deal requires systems and data to work together on a real deadline.
Licensing, infrastructure, or fragile manual work is imposing a growing business cost.
The system still runs, but every important change is slower or riskier because of how it is built.
What changed
Legacy replacement has always been constrained by the cost of reading an unfamiliar system, recovering undocumented behavior, and reproducing it safely. AI-assisted analysis and implementation cut those costs. Not to zero, but enough to change the answer.
That doesn’t make a rewrite safe or automatic. It means the estimate you’re carrying around is probably from the last decade, and it’s probably wrong.
Fixed-scope look at the system
The assessment turns a broad risk into a set of explicit technical and commercial decisions.
Major components, data, integrations, runtime dependencies, and operational boundaries.
Business rules and edge cases a replacement must keep, whether or not they were documented.
What threatens continuity, compliance, security, or change — not a list of cosmetic code smells.
A call on each part: retain, wrap, replace, migrate, or deliberately leave alone.
Production slices, dependencies, checkpoints, and real cost ranges for the recommended path.
Useful whether we do the implementation or not.
If replacement is justified
The old system keeps running until each new path has earned responsibility for real traffic and real business behavior.
Recover the business rules that matter without recreating accidental complexity.
Set things up so old and new parts can operate together during the transition.
Use production behavior, reconciled data, and external systems as the evidence.
Your team participates in the decisions and owns the resulting system after we leave.
Who you work with
The first call is with the people who will open the repo. No salesperson in the middle. Nothing sent overseas.
Thirty years building software. Twenty of them running this company in Las Vegas. The job is not to sell you the biggest project. Sometimes the honest answer is you do not need one.
See how the work is run →No. The assessment exists to determine what should change and what should not. A wrapper, a targeted replacement, a data migration, or an operational fix may be safer and more valuable than a rewrite.
AI-assisted code analysis, specification work, and implementation can reduce the cost of understanding and reproducing existing behavior. That changes some project economics. It does not remove the need for careful discovery, outside verification, or staged delivery.
A fixed-scope look at the system typically costs $5,000 to $10,000. The exact scope depends on system size, access, documentation, and what is forcing the decision. Any implementation is quoted separately from that written answer.
That is the preferred approach. We identify production slices that can be introduced behind controlled boundaries, then move traffic or responsibility only after the new path has demonstrated correct behavior.
We will say so. A credible assessment has to allow for containment, documentation, or no action when replacement risk exceeds the business value.
Tell us what changed, what the system does today, and what the business can no longer accept. The first conversation is free.