We build agentic applications around real company workflows: retrieval over internal knowledge, LLM orchestration, tool boundaries, evaluation and secure Azure deployment.
agent operating system
LLM reasoning with governed retrieval, tool execution and continuous evaluation.
User intent
Policy guardrails
RAG retrieval
Tool execution
Grounded answer
Evaluation loop
Context index
vectorPolicy layer
rulesTool registry
actionsEval telemetry
qualityAgent workflows, prompt boundaries, tool use, evaluation loops and operating models designed around the business process being supported.
Retrieval pipelines for policies, manuals, tickets, documents and domain data with chunking, metadata, citations and access-aware retrieval.
Azure OpenAI, AI Foundry, managed identity, private networking, logging and monitoring aligned with enterprise security expectations.
Evaluation sets, failure modes, monitoring dashboards and practical documentation so internal teams can maintain the system after launch.
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