About

CaseMgr is a case management platform built for two users: you and your AI. It gives humans a flexible, intuitive way to organize work, and it gives AI assistants a structured workspace they can actually operate in. The result is a tool where you and your AI collaborate on the same cases, the same tasks, and the same data — with full visibility into what’s happening.

Why CaseMgr Exists

There’s a gap in the productivity tool landscape. On one end, you have simple todo apps that fall apart once a project gets complex. On the other, you have enterprise project management platforms that require a dedicated admin and a six-figure budget. In between, there’s a lot of people doing important, complex work with tools that don’t quite fit.

CaseMgr fills that gap. It’s powerful enough to model real workflows with stages, tasks, and milestones, but simple enough that you can start with a case and a few notes. It grows with you — add structure when you need it, keep things loose when you don’t.

And with AI becoming a genuine part of how people work, CaseMgr was built from day one to be a place where AI assistants can do real, meaningful work alongside you — not just answer questions in a chat window.

Built on a Real Standard

CaseMgr’s workflow engine implements CMMN (Case Management Model and Notation), an industry standard from the Object Management Group. CMMN was designed specifically for case-based work — the kind of work where you can’t fully predict the path in advance, where human judgment matters, and where flexibility is essential.

Most people have never heard of CMMN, and that’s fine. You don’t need to know the spec to use CaseMgr. But it means the workflow engine underneath isn’t a toy — it’s built on decades of research into how case work actually happens.

The Technology

CaseMgr is built with Phoenix and Elixir on the backend — a stack known for reliability, real-time capabilities, and the ability to handle concurrent connections gracefully. This is what makes the live AI feedback possible: when your AI creates an item, Phoenix’s real-time channels push that update to your browser instantly.

The database is ArcadeDB, a multi-model graph database. Cases, items, and their relationships are naturally graph-shaped — items belong to cases, cases relate to clients, tasks connect to stages. A graph database means these relationships are first-class citizens, not afterthoughts joined across relational tables.

Who Built This

CaseMgr is built by Mark Stang, an independent developer. This isn’t a venture-backed startup chasing growth metrics or a corporate side project. It’s a tool built by someone who needed it, refined through real use, and offered to others who face the same challenges.

Being independent means CaseMgr can prioritize what actually matters to users over what looks good in a pitch deck. Features get built because they solve real problems, not because they’ll impress investors.

Get in Touch

Have questions, feedback, or ideas? Reach out directly at mark@casemgr.systems. When you email, you’re talking to the person who builds the product — not a support tier, not a chatbot, not a queue.