Insight
Tool-bound
Access model. Agents receive only the API scopes the workflow needs.
AI technology
Agentic AI
Agents that plan multi-step work, call tools, and act across enterprise apps with scoped permissions and audit trails.
Multi-step automation with explicit guardrails
Radiantze designs agentic systems that read context, choose tools, update records, and chain steps toward goals such as claim triage or follow-up scheduling.
Tool access stays narrow, every step is logged, and humans remain in the loop for consequential or irreversible decisions through phased, approval-gated rollout.
Insight
Audited
Action trail. Each tool call and outcome logged for reconstruction and review.
Insight
Phased
Rollout pattern. Read-only research first, then write actions with approval gates.
Partnership
Radiantze agentic systems
Agent programs use the same governance discipline as RAG and GenAI, plus permissions, rollback, and operational monitoring.
- Document the current manual workflow before automating it.
- Define allowed tools, data boundaries, and stop conditions.
- Require approval before customer-impacting or financial actions.
- Run shadow mode against historical cases before live execution.
Radiantze applications
Insurance & claims
Document intake, policy checks, and status updates with approval before payouts or denials.
IT & service management
Ticket triage, knowledge lookup, and routine remediation inside ServiceNow-class platforms.
Procurement & finance
Invoice matching, vendor queries, and purchase-order drafts, with finance sign-off on writes.
Related use cases
See it applied
IT ticket triage agent
Radiantze agents resolve routine IT tickets end to end and escalate the rest with full audit trails.
Procurement processing agent
Radiantze agents move routine purchase requests through budget check, approval routing, and order placement.
Research & report-drafting agent
Radiantze agents gather approved sources and assemble cited, review-ready research drafts for analysts.