Use case 2
Automate portfolio reporting
Reporting on digital asset activity can be time-consuming when teams are pulling updates manually. AI workers can organize Luno data into portfolio summaries, operational reports, and recurring internal updates for leadership or finance teams. This creates a more scalable way to monitor holdings and performance while reducing repetitive reporting tasks.
Your Luno AI Worker
Luno Customer Follow-Up AI Worker
Active
You: When a customer transfer completes or fails in Luno, draft the right support follow-up, prioritize urgent cases, and prepare a queue for our operations team to review.
Reviewing account events tied to customer activity...
Prioritizing follow-ups by urgency and transaction outcome...
32 account-related follow-ups prioritized automatically.
The worker sorted transaction-driven customer events into a structured follow-up queue, separating completed transfers, failed activity, and urgent cases needing human r...
32Follow-ups drafted
6Urgent cases prioritized
5 hoursBeforeto11 minWith Toolhouse