Case Studies

After a merger, a leading cybersecurity enterprise faced escalating Tier 1 support demands, leading to slower response times and overburdened support teams. They needed a solution to handle the increasing volume efficiently while maintaining high-quality service. By deploying SectorFlow AI, the client achieved remarkable improvements in their support operations. The solution automated 63% of common tickets, reclaimed over 220 hours per year for their support teams, and resulted in a 30-150% cost reduction on ticket resolution. This transformation allowed the support teams to manage higher volumes with greater efficiency and reduced costs, all while maintaining high-quality service.

A financial valuation firm was overwhelmed by the sheer volume of live company news and industry changes. Monitoring these updates for valuation impacts was a manual, data-intensive process, often compounded by duplicate stories, making it difficult to identify critical information. SectorFlow implemented an AI-driven solution through a 3-4 week professional services engagement. The system now scans web and API sources, filters out duplicates, and highlights critical stories. It also includes a user interface (UI) to track over 500 companies weekly, providing the firm with timely and relevant insights for their valuation processes. Employees receive a daily email with a summary of the critical stories.

A government healthcare client faced the daunting task of migrating 1,000 contracts, which were in inconsistent PDF/OCR formats and contained sensitive Personally Identifiable Information (PII), to a new Excel tracking system. The initial estimate for this effort was over one year. SectorFlow met with the client's team and delivered a Statement of Work (SOW) within one week. The project then took just 7 days to process all 1,000 contracts, saving a full year of time . This rapid automation of a critical, time-consuming process showcased SectorFlow's ability to handle large-scale data migration with speed and precision.