Radiantly is an AI agent platform that helps teams design, run, and oversee human-managed automation workflows in one place. Instead of stitching together brittle scripts and dashboards, you can orchestrate AI agents, tools, and people through clear, auditable flows. Non-technical users can experiment quickly, while engineers retain full control over reliability, data access, and integration quality. With a visual builder and low-code logic, Radiantly lets you define how agents collaborate, when humans review, and what happens on every edge case. Connect to your existing stack—CRMs, ticketing systems, internal APIs—and let AI agents handle repetitive work while routing exceptions to the right human at the right time. Every run is traceable, with logs, versioning, and guardrails that keep AI outputs aligned with your business rules. Radiantly is ideal for support, operations, sales, and internal tooling teams that want powerful AI automation without sacrificing oversight. Start for free, validate your workflows in a controlled environment, and gradually scale from simple assistants to complex, multi-step AI processes. Whether you’re building your first AI co-pilot or standardizing dozens of automations across departments, Radiantly gives you a secure, flexible foundation for human-in-the-loop AI operations.
AI-augmented customer support: Route tickets to agents, use AI to draft responses, and escalate edge cases to human operators with full context.
Sales and lead qualification: Let AI agents enrich leads, draft outreach messages, and hand off promising prospects to sales reps at the right moment.
Back-office operations automation: Automate repetitive back-office workflows such as data entry, approvals, and report generation with human checkpoints.
Internal knowledge assistants: Build agents that search internal knowledge bases, summarize documents, and suggest actions while keeping humans in control.
Incident triage and coordination: Orchestrate AI agents to triage incidents, collect diagnostics, and notify on-call teams with structured updates.