Use Case
Agentic Workflow Automation
Stitch together models, tools, and business rules into resilient, observable workflows that can handle real-world complexity.
What this solves
- One-off prompts that don’t scale beyond the pilot stage.
- Fragile scripts that break whenever inputs change slightly.
- No clear visibility into what the AI actually did and why.
How Arion Flow helps
- Model, orchestrate and run multi-step workflows inside your Arion workspace.
- Combine RAG, agents, tools and human approvals where it makes sense.
- Log every step for audit, troubleshooting and continuous improvement.
Example flows
Content lifecycle: brief → ideation → drafts → legal checks → final assets delivered.
Customer journey: detect churn risk → assemble context → propose personalised outreach → trigger CRM sequences.
Ops workflows: watch event stream → classify → pull relevant runbook content → propose next actions.