ERP, SaaS, and AI-built software
Companies usually choose between three imperfect paths.
Traditional ERP is powerful, but often expensive, slow to adapt, and far from the way teams actually work.
Generic SaaS is fast to adopt, but often rigid when the business needs a specific workflow.
Custom software fits better, but traditionally takes too much time, budget, and specialized engineering capacity.
Collab.codes exists because AI changes that tradeoff.
The new possibility
AI makes it easier to create software from business intent.
But generation alone is not enough. The application still needs runtime, authentication, backend routines, auditability, monitoring, collaboration, publishing, and cost governance.
Collab.codes combines:
- AI-assisted creation;
- a runtime foundation;
- BFF-oriented backend execution;
- collaboration inside the workflow;
- managed services such as auth, LLM routing, and hosting;
- a no-lock-in posture where code and providers can remain under customer control.
When this model is useful
This model is especially useful when:
- the company has workflows that do not fit generic SaaS;
- ERP customization would be too slow or expensive;
- the application needs collaboration, tasks, and AI agents in context;
- the team wants custom software without starting every project from scratch;
- the organization needs a path to production, not only generated code.
What to verify before adopting
Before using Collab.codes for a specific product, clarify:
- which workflows are stable and which are still changing;
- which parts require custom frontend or backend masters;
- which providers should be managed by Collab.codes and which should be customer-owned;
- which approval, audit, and publication policies are required.