Custom software for the
AI age.
CBSI builds new systems, modernizes legacy ones, and weaves AI agents into the codebases that already run your business. Quiet, senior engineering — same shop, since 1989.
Four ways we ship.
- 01
Custom software development
We build line-of-business systems end to end. Pick your delivery model — traditional SDLC, AI-native engineering, or a lights-off code-factory pipeline. We use the right one for the problem in front of you.
SDLCAI-nativeCode factory - 02
Legacy modernization
Software that's worked for a decade rarely needs to be rewritten. It needs to be brought into the AI age — cloud-native, instrumented, interoperable, and ready to be augmented by agents without losing what made it work.
ModernizationCloudRefactor - 03
Agents inside existing codebases
Adding AI capabilities to a system that already runs your business is a different discipline than building a greenfield AI app. Scoped agents, structured outputs, evaluations, and operability — without disrupting the production path.
AgentsSkillsEvals - 04
Microsoft data stack
SQL Server architecture, query and index tuning, schema design that ages well. Power BI for the people who actually have to read the report. Decades of business-application work behind every recommendation.
SQL ServerPower BIBusiness apps
Three things that hold across every cycle.
Built across cycles
CBSI has shipped through every cycle since the LAN — desktop, client-server, web, cloud, and now AI. The job hasn't changed. The tools have. We move with them.
Owner-operator
When you engage CBSI, the senior person designing the system is the same one writing it. No staffing pyramid, no hand-off to a junior consultant after the SOW closes.
AI-native by default
We use the AI tooling we recommend, every day, on real codebases. The recommendations aren't hypothetical — they're load-bearing in our own work.
Notes from the work.
-
Three rules for adding AI to a codebase that already ships
Adding AI capabilities to a system already running your business is a different discipline than building a greenfield AI app. Three rules we keep coming back to.
AI integrationLegacy -
AI-native engineering, defined
The phrase gets used a lot. Here's the working definition we use at CBSI and the test we apply to know whether a team has actually adopted it.
AI-nativePractice
We take a small number of engagements per year.
If you're considering CBSI for a project, the fastest way to get started is a conversation. We'll figure out together whether what you need is a fit for what we do — and tell you straight if it isn't.