Brief
Scott Park Group engaged us to conduct an AI-driven discovery analysis of their high-volume Accounts Payable inbox. With thousands of emails arriving throughout the year, the AP team needed clarity on what types of messages were coming in, how often they occurred, and which could be automated. Using Large Language Models to categorise and cluster emails at scale, we delivered a data-backed foundation for their automation roadmap.
Problem
The AP inbox was receiving far more emails than the team could reasonably process. Staff were spending valuable time triaging repetitive messages while struggling to maintain visibility over what was actually landing in the inbox. Without a clear breakdown of email types or volumes, it was difficult to determine which tasks could be automated or how to prioritise improvements. Scott Park Group needed a reliable way to understand their communication patterns before moving toward AI-powered automation.
Solution
We completed a structured AI analysis of the entire inbox using LLM-driven categorisation and clustering techniques. The system grouped emails into meaningful categories, highlighted volume patterns, and identified the most repetitive correspondence types suitable for automation. From this analysis, we prepared:
- A high-level overview of communication patterns across the year
- Identification of recurring email types with the strongest automation potential
- Insights into volume, timing and workload distribution
- A clear prioritisation of the email categories to automate first
- A practical roadmap outlining how automated inbox agents could be developed using Microsoft Copilot Studio The work gave Scott Park Group a clear view of their email landscape without exposing any sensitive content or internal processes.
Result
The discovery analysis provided Scott Park Group with the clarity they needed to move confidently toward automation. They now have:
- A validated list of high-value automation opportunities
- A roadmap for building automated inbox agents
- A strong foundation for implementing Copilot Studio solutions
- Greater oversight of workload patterns, helping reduce manual pressure on the AP team The project has positioned Scott Park Group to streamline their inbox, reduce repetitive processing, and move toward a more efficient, AI-supported workflow.