Rihuum Intelligence Architecture
Agentic AI with a defined job, authority and stop condition.
Rihuum develops intelligence around measurable work. Every future assistant or agent must know its approved knowledge, tool limits, escalation path, evaluation standard and accountable human owner.
RIA is in development. This public website does not present a scripted guide as an autonomous production agent.
Discuss an AI workflow →- State
- In development
- Default authority
- Observe only
- High-impact actions
- Human approval
- Public autonomous agent
- Not released
01 / Operating position
More capable does not mean less accountable.
An intelligent system earns greater authority only after it completes useful work inside a tested control envelope.
A public chatbot, generated answer or workflow demo is not proof of an enterprise agent. Production use requires protected server-side integration, approved knowledge, bounded tools, evaluations, monitoring and accountable human decisions.
02 / Reference architecture
A shared intelligence layer for controlled products.
Common controls prevent each product from inventing identity, knowledge, tools, evaluation and audit independently.
- Experience
- Task-specific interfaces for employees, customers and specialists; no simulated autonomy required.
- Orchestration
- Intent, task state, routing, retries, escalation and approval before consequential action.
- Knowledge
- Approved sources with permissions, ownership, provenance, freshness and citation.
- Tools
- Allowlisted APIs with identity, least privilege, limits, idempotency and reversible execution.
- Trust
- Policy, evaluation, audit, observability, privacy, incident response and release governance.
03 / Authority ladder
Progressive trust, measurable at every gate.
Authority is not assigned by marketing language. It is earned through evaluated performance, controlled failure and reliable recovery.
- Observe
Read approved information and produce no external action.
- Recommend
Analyse a bounded task and propose evidence-backed next steps.
- Draft
Prepare reversible work for an authorised person to inspect.
- Act with approval
Use a limited tool only after explicit authority and record the outcome.
- Bounded automation
Automate only stable, low-risk work with limits, monitoring and a shutdown path.
04 / Release controls
Capability must be matched by control.
A model demo is only one technical component. The operating system around it determines whether it can be trusted.
- A named use-case owner and measurable operating outcome.
- Approved data sources, knowledge owners and access boundaries.
- Least-privilege tools with short-lived credentials and explicit action limits.
- Human approval for financial, legal, safety, identity and external-communication actions.
- Evaluation for accuracy, refusal, escalation, recovery and adversarial behaviour.
- Attributable audit, monitoring, incident handling and safe shutdown.
AI discovery
Start with one bounded decision or workflow.
Rihuum can frame the user, data, authority, risk, evaluation and acceptance evidence before selecting a model or integration.