Your AI-Built App Works. But Is It Production Ready?
AI tools can help founders build software faster than ever, but turning a prototype into a secure, scalable, maintainable product still requires production engineering.
Read moreMeet Cass&York - We make founder-built and business-built software production ready
AI-generated applications are the timely wedge. Production architecture, deployment, security, integrations, and technical ownership are the durable capabilities underneath it.
Cass&York works with founders and business leaders who already have a functioning prototype, internal tool, portal, workflow product, or business application, but need senior technical judgment before real users depend on it.
Our background is in the parts of software that still matter after the first version works: permissions, integrations, data models, cloud deployments, testing, monitoring, and the operating decisions that keep a product reliable after launch.
- Prototype-to-production focus
- AI
- Years in service
- 10
- Problems worth solving
- $10K+
Our process - We turn a working AI prototype into software the business can trust.
- Inspect what exists. We review the code, architecture, data model, authentication, deployment path, and business workflow before recommending a fix.
- Harden the risky parts. We repair the production risks that can expose data, break customer workflows, or make every release feel dangerous.
- Own the launch. We set up staging, production, monitoring, backups, and a maintainable path for the next developer or internal team.
What we check - What production-ready means
We focus on the unglamorous parts that decide whether a prototype can be trusted by customers, employees, and the business that depends on it.
- Secure the application. Fix authentication, authorization, exposed secrets, dependency risk, and unsafe data access before real users arrive.
- Make operations repeatable. Set up staging, production, CI/CD, logging, monitoring, backups, and release routines that do not rely on memory or luck.
- Leave the code maintainable. Clarify the architecture, add tests around critical paths, and create a plan another developer can actually follow.
- From the blog
Notes on software quality, production operations, and the judgment required when AI-generated code starts handling real users and real data.
Ready to make your AI-built app production ready?
Our offices
- Headquarters
New York, New York