New playbook: when your own AI model pays. Read
Unilever (consumer goods) reported this on 17 Jul 2026 in vendor case with a named customer (source). It belongs to the data and ontology layer.
Databricks AI/BI Genie on a centralised finance data lake governed by Unity Catalog, for plain-language finance questions, starting in Latin America.
Finance analysis that took days now takes minutes; 1,200+ users targeted; multi-million-euro annual cost avoidance expected from customer analysis and credit-risk monitoring.
The number covers finance teams; the euro figure is an expectation; a realised result is not reported.
“What used to take days now takes minutes,” Unilever said.
Shared definitions of your metrics and records, used by both staff and agents.
10 minutes
to scope a supply shortage, down from 3 months and 30 people
An enterprise data layer on Palantir Foundry unifying 33 ERPs (~3.5M data connections), feeding a Sector Control Tower for executives and a Program Digital Cockpit for program teams (source).
27 days
faster time-to-sign for candidates
A recruiting and hiring agent in Microsoft Copilot Studio, grounded in the Celonis Context Model (process-mining data on how hiring actually flows), used by recruiters and hiring managers (source).
2 months
for a 1% forecast-error gain that last took a year
A Genie-based research agent on Databricks that answers finance and store-operations questions about the labour-demand forecast, with explanations, replacing data scientists answering stakeholder emails (source).