A dental services organization operating more than 100 facilities lacked a unified data environment.
A data foundation that has to exist before anything else can
10 companies have fixed this with AI, most of them in Healthcare & Life Sciences, Financial Services and Consumer Goods & CPG. 0 of the 5 that disclosed a timeline were live inside two months; the longest took 12+ months. Built mostly as process automation, AI-accelerated custom software and data synthesis & reporting, on NetSuite, AWS and Google Cloud / BigQuery. 6 builders in the Pluris network have done it.
Solutions
10 on fileA FinTech company relied on manual spreadsheet workflows for its analytical processes, which limited reliability and scalability.
S. and Mexico without unified visibility, slowing its monthly close and creating stockouts and mis-shipments.
The lender's operating layer was a patchwork, a CRM for leads, a quote engine for rates, a ledger for servicing, and numerous spreadsheets.
The carrier operated on manual processes: paper claim files, three separate field applications, shared spreadsheets, and heavy reliance on the supervisor's memory.
Critical case data was scattered across spreadsheets and documents with inconsistent conventions.
After 40 years of success, MARiTECH still ran global operations on spreadsheets and Google Docs.
The organization had to demonstrate outcomes to funders while upholding strict privacy commitments to the people it serves.
The marketing operations team relied on more than 100 disconnected tools.
A multi-country manufacturing and construction company growing at 20–30% annually operated entirely blind.