Experience
Website guides, employee copilots, client assistants and specialist workspaces.
Rihuum Intelligence Architecture
Rihuum develops assistants and agents around measurable work—not autonomy theatre. Every system must know its job, approved knowledge, tool authority, escalation path and evaluation standard.
Our position
An intelligent system earns trust by completing useful work inside a clearly defined authority envelope.
Rihuum will not present a scripted chatbot as an autonomous enterprise agent. Website guidance can begin with approved knowledge and intent routing; production Agentic AI requires secure server integration, governed tools, evaluations, monitoring and human approval for consequential action.
Read the operating model →RIA architecture
Shared controls prevent each product team from rebuilding identity, knowledge, tools and evaluation differently.
Website guides, employee copilots, client assistants and specialist workspaces.
Intent, planning, agent routing, task state, retries, escalation and human approval.
Approved sources, permissions, provenance, retrieval, freshness and citation.
Bounded APIs and actions with identity, least privilege, limits and reversible execution.
Policy, evaluation, audit, observability, privacy, incident handling and release governance.
Implementation phases
The system reads approved information and produces no external action.
It analyses a bounded task and proposes evidence-backed next steps.
It prepares reversible work for a person to inspect and approve.
It uses limited tools after explicit authorisation and logs the outcome.
Only stable, low-risk work earns narrowly defined automatic execution.
Non-negotiable controls