10/02/2026
Your engineering teams know the foundation models aren't the problem.
The reason AI rollouts stall in production is architectural. If you force a single LLM to handle intent routing, database queries, and system updates all at once, it can drop context the moment a workflow crosses from a CRM to an ERP.
At Xavor, we build multi-agent architectures. By decoupling the orchestrator from the ex*****on agents, we ensure discrete tasks are handled by specialized models wired directly into your existing APIs. State machines maintain the context, and your workflows actually execute.
Bookmark this architectural breakdown for your next AI deployment planning session.