See how 51 companies
make better decisions with AI

We monitor how businesses get results with AI, so you don't have to guess what's worth implementing.

Real-world implementations from

Vale logoV
ValeFinancial document analysis
LTIMindtree logoL
LTIMindtreeHiring prediction
Novo Nordisk logoN
Novo NordiskClinical data analysis
Sonata Software logoS
Sonata SoftwareFinancial forecasting
Tipalti logoT
TipaltiSelf-service analytics
Vale logoV
ValeFinancial document analysis
LTIMindtree logoL
LTIMindtreeHiring prediction
Novo Nordisk logoN
Novo NordiskClinical data analysis
Sonata Software logoS
Sonata SoftwareFinancial forecasting
Tipalti logoT
TipaltiSelf-service analytics
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Showing 9 of 51 case studies
Sonata Software logoS

Sonata Software

Technology|Enterprise

Financial forecasting

AgenticL2

Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.

30khRecon. Eliminated
via microsoft.com
Published May 30, 2026
Novo Nordisk logoN

Novo Nordisk

Pharmaceuticals & Biotech|Enterprise

Clinical data analysis

AgenticL2

Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.

50+Quarterly Ideas Eval.vs 5-10 ideas
via microsoft.com
Published May 20, 2026
Tipalti logoT

Tipalti

Software & Platforms|Mid-size

Self-service analytics

AgenticL2

Sales and marketing lacked coding skills to query data. Now, an internal AI prompt store lets them pull instant answers in Salesforce.

up to 5xSpeed Increase
via snowflake.com
Published Apr 10, 2026
Vale logoV

Vale

Energy & Utilities|Enterprise

Financial document analysis

AgenticL3

Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.

80%Review Time Reduction
via databricks.com
Published Apr 7, 2026
International Tennis Federation (ITF) logoI

International Tennis Federation (ITF)

Entertainment|SMB

Live match analytics

AgenticL2

Coaches had 30 seconds between points, but insights took hours. Now, AI analyzes live telemetry to answer tactical questions courtside.

700K+Data Points Processed
via microsoft.com
Published Mar 31, 2026
LTIMindtree logoL

LTIMindtree

Technology

Hiring prediction

AgenticL2

Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.

25-30dIntervention Lead Time
via snowflake.com
Published Mar 2, 2026
D

Delhi Metro Rail Corporation (DMRC)

Government & Public Sector|Enterprise

Published Feb 6, 2026
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