Petal AI turns scattered data into 3× faster decisions
Challenge
As Petal AI expanded, critical information became increasingly scattered across dashboards, databases, documents, and internal tools. Teams often spent more time gathering and interpreting data than acting on it.
Leadership needed a faster way to surface relevant insights while ensuring teams could easily understand the information behind every decision.
Approach
Vesper connected Petal AI's key data sources and created intelligent workflows that continuously organised, analysed, and surfaced relevant information.
The team focused on:
- Automate recurring reports and approvals
- Route incoming requests intelligently
- Synchronize data between core systems
- Flag exceptions for human review
This created a consistent intelligence layer without requiring teams to replace their existing tools.
Solution
Vesper created a central intelligence layer that turned Petal AI's distributed information into accessible, contextual insights. Teams could ask questions, monitor performance, and uncover trends without manually searching across multiple systems.
Petal AI could now:
- Automatically classify and assign requests
- Generate reports from live data
- Streamline routine approval processes
- Surface operational issues instantly
- Scale workflows without added complexity
Within eight months, Render significantly reduced unexpected interruptions while increasing production consistency across its manufacturing facilities.
