Use Case
AI Agent Development
Build agents that can reason, call your APIs and work across tools – without exposing your internal systems to public SaaS platforms.
What this solves
- Manual, repetitive tasks across CRM, ticketing and content tools.
- Experiments stuck in proof-of-concept land, not wired into real workflows.
- Security concerns when agents are run via public, opaque platforms.
How Arion Flow helps
- Build agents inside your Arion workspace with access only to the tools and data you permit.
- Use agent frameworks to handle planning, tool-calling, and multi-step workflows.
- Log and observe agent behaviour for governance, debugging and optimisation.
Example flows
Campaign agent: an agent that pulls product data, drafts campaign ideas, and pushes tasks into your PM tool.
Ops assistant: an agent that can read monitoring alerts, cross-check runbooks and suggest next steps.
Sales research agent: compile account summaries from your CRM, notes and external sources, then draft outreach.