AI that talks like a human. Handles millions of calls.

Assemble role-based agents from a library of skills. Standardize how agents behave with configurable policies, prompts, and guardrails—without rebuilding from scratch.

Connect agents to the entities that matter (e.g. customers, accounts, suppliers, sites, projects) and apply role-based access, so users only see and act on what they're permitted to. Keep data boundaries clean across organizations, teams, and roles.

Integrate enterprise applications and knowledge stores via MCP-style connectors and managed integrations. Bring structured data, documents, and URLs with controlled retrieval, traceable sources, and configurable data scopes.

Track agent activity end-to-end—sessions, tool calls, outcomes, user feedback, and exceptions. Use observability to improve skills, prompts, and policies with measurable impact over time.

Launch workflows directly from conversation outputs—Create Summaries, Extract Actions, CRM updates, tasks, escalations, approvals, or custom operations. Ensure ownership and completion of commitments made in conversations.

Push structured outputs into downstream systems using webhooks and event-driven integrations. Keep operational systems current without manual re-entry, while preserving traceability back to the source of conversation.

Query about the full history of conversations, decisions, and signals across entities and teams. Rebuild context fast, reduce rework, and improve decision quality with connected organizational memory.

Turn real customer conversations into role-based simulations, scenario practice, and onboarding support. Improve consistency and confidence by training teams on how customers speak, decide, and act.