Domain‑specific assistants, compliance, governance, and agentic business workflows.
Modern enterprises deploy LLMs across business units using a layered architecture focused on safety, control, and high‑value automation. Domain‑specific assistants operate inside a governed ecosystem that ensures compliance and consistency at scale.
Tailored to finance, HR, legal, sales, and operations, each with dedicated knowledge and capabilities.
Central policies ensure secure access, redaction, auditability, and risk‑based controls.
LLMs act as autonomous workers performing multi‑step tasks with supervision.
Enterprise data, vector storage, policies.
Access control, redaction, compliance filtering.
Model orchestration, prompt routing, tool execution.
Role‑specific tasks, workflows, and automation.
Through structured governance layers, policy enforcement, redaction, and audit trails.
An AI worker tailored to the knowledge and workflows of a specific business unit.
They enable LLMs to take actions, call tools, and complete tasks end‑to‑end.
Bring governance, automation, and intelligence to every workflow.
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