Engineering Production AI Systems
Start with real delivery work and technical field notes to understand how Behelitai ships enterprise AI systems.
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Case Studies
Enterprise Interview Agent System for Structured Talent Evaluation
Behelitai built a FastAPI and LangGraph based AI Agent platform that standardizes candidate profiling, competency assessment, follow-up questioning, and management reporting for enterprise hiring workflows.
How a Legal Team Cut Contract Review Time by 65%
Behelitai built a secure retrieval pipeline with strict document isolation and human sign-off controls to speed up review without compromising compliance.
Scaling Support Triage to 80% Automated Resolution
Behelitai implemented policy-driven multi-agent routing for ticket triage with human fallback to protect service quality.
Knowledge Base
Securing Enterprise LLM Workflows Against Prompt Injection
Practical architecture patterns for input hardening, contextual boundary checks, and adversarial test loops in production-facing AI systems.
When Not to Fine-Tune: A Practical Architecture Decision Guide
A framework to decide between prompting, retrieval, and fine-tuning based on latency, governance requirements, and cost constraints.
Open Source vs Proprietary Models: Deployment Trade-Offs in 2026
How teams evaluate reliability, unit economics, and operational complexity when choosing between hosted and self-managed model stacks.