The Build Trap: How One AI Platform Scaled Without Building Its Own Orchestration Layer

What to expect

Most software companies don't set out to build an orchestration layer — they set out to build a product. But somewhere between v1 and real scale, nearly every ISV starts writing coordination code: retry logic, state tracking, queues, timeout handling, audit trails. At some point that plumbing stops being a means to an end and quietly becomes the product itself.

In this session, CodaMetrix CTO Chris Gervais joins Camunda's Austen Stone and Natosha McNeal to walk through the build-vs-embed decision for ISVs whose products coordinate work across systems, agents, and people. Chris shares how his team built a fully autonomous, end-to-end AI medical coding platform in a PHI-compliant environment — by embedding orchestration instead of building it — including the criteria they used, where building started to lose on the merits, and what the decision unlocked for their roadmap and customer conversations.

Why you should watch

If your roadmap is bending around a homegrown coordination layer, or enterprise buyers are asking questions about audit trails, governance, and reliability that your current setup can't answer cleanly, this is a candid, technical look at how one team made the call. You'll walk away able to:

• Recognize the three signals that your coordination layer has quietly become a product you now maintain forever
• Understand why embedded orchestration makes agentic AI capabilities trustworthy enough to give real authority to
• Know what to make "excruciatingly clear" before you start — if you're in the moment CodaMetrix was two years ago