# Case Studies | Enterprise AI in Production | Climb
Source: https://climb.ai/case-studies

Case Studies

# Production AI. Real outcomes.

The kinds of data and AI problems we take into production for enterprise teams, drawn from real project experience. Find a pattern that looks like yours.

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## Engagement patterns

Banking · Growth

Regional Retail Bank

Multi-product · Digitally-led

Personalized offers delivered to the right customer at the right moment.

12 wk

To production

40%

Lead conversion uplift

Enormous data. No unified view to act on it.

Banking · Risk & Compliance

Regional Commercial Bank

Mid-market · High transaction volume

Fraud caught in real time. AML false positives cut by more than half.

10 wk

To production

60%

False positive reduction

“We'd been trying to get off batch detection for two years. They did it in ten weeks.”

Head of Financial Crime, Regional Bank

Private Equity · Firm

Mid-Market PE Firm

$2–5B AUM · 10–20 portfolio companies

Cross-portfolio intelligence live across every portco in 10 weeks.

10 wk

To production

95%

Less reporting time

Fourteen portcos. No single version of the truth.

Private Equity · Portfolio Company

PE-Backed Healthcare Services Business

Post-acquisition · Data modernization priority

First real-time view of service line profitability within 90 days.

90 days

To production

3 → 1

Billing platforms unified

Unity Catalog · FHIR pipelines · Self-serve dashboards

Insurance · Underwriting & Growth

Regional P&C Insurer

Commercial lines · Growing book

Underwriting intelligence that sharpened risk selection by 35%.

11 wk

To production

35%

Risk selection accuracy

Three systems. No single view of exposure.

Insurance · Fraud & Claims

National Life & Health Insurer

High claims volume · Fraud pressure mounting

Fraudulent payouts down 28%. Claims scored in real time.

8 wk

To production

28%

Reduction in fraudulent payouts

“We shifted from chasing fraud after the fact to stopping it before payment. That's a different business.”

VP Claims Operations, National Insurer

Life Sciences · R&D & Discovery

Mid-Size Biopharma

Active pipeline · Multi-trial portfolio

Trial site selection time cut in half. Scientists back to doing science.

13 wk

To production

50%

Reduction in site selection time

Years of research data. None of it connected.

Life Sciences · Commercial & Supply Chain

Specialty Medtech Company

Multi-market · Post-launch scaling

Real-time commercial and supply chain visibility across 12 markets.

10 wk

To production

30%

Field force productivity uplift

Unity Catalog · Demand forecasting · Territory intelligence

Healthcare · Payer

Regional Health Plan

Growing membership · Manual ops under pressure

Prior auth approvals automated. Revenue cycle processing time cut by 45%.

12 wk

To production

45%

Processing time reduction

Claims volume was growing. The team processing them wasn't.

Healthcare · Provider & Clinical

Regional Health System

Quality-focused · HEDIS under pressure

Care gaps identified in real time. HEDIS scores improved across 6 measures.

11 wk

To production

70%

Gap identification time reduced

“We always knew the answers were in the data. We just couldn't get to them fast enough.”

Chief Clinical Informatics Officer, Regional Health System

Manufacturing · Factory & Operations

Mid-Size Industrial Manufacturer

Multi-line · Sensor-rich environment

Unplanned downtime cut by 38%. OEE up 22% in one quarter.

14 wk

To production

38%

Reduction in unplanned downtime

Hundreds of sensors. Zero real-time decisions.

Manufacturing · Supply Chain & Commercial

Global Components Manufacturer

Multi-market · Disruption recovery

Forecast accuracy up 40%. Inventory carrying costs down 25%.

12 wk

To production

40%

Forecast accuracy improvement

Unity Catalog · Daily demand forecasting · Dynamic pricing models

Retail

National Specialty Retailer

Multi-channel · Loyalty-led growth

Personalization at scale across 8M loyalty members.

11 wk

To production

34%

Conversion uplift

Unity Catalog · Customer 360 · Next-best-action models

CPG

Mid-Size Consumer Goods Brand

Multi-retailer · Trade-spend heavy

Trade promotion ROI visible for the first time. Waste down 30%.

13 wk

To production

30%

Reduction in promotion waste

“We walked into annual planning with data we could actually defend. That hadn't happened before.”

VP Commercial, Consumer Goods Brand

Travel & Hospitality

Regional Travel & Hospitality Business

Multi-channel · Yield-focused

Revenue per available unit up 18%. Pricing updated continuously, not weekly.

10 wk

To production

18%

Revenue per unit up

Weekly pricing reports. A market that moved daily.

Digital Native · Data as a Product

High-Growth SaaS Business

Multi-team · Metrics at scale

One source of truth. Every team shipping with confidence.

9 wk

To production

60%

Reduction in time to insight

Five pipelines. Five versions of churn. Zero trust in the numbers.

Digital Native · VC-Backed Startup

VC-Backed Consumer Tech Company

Series B · Scaling fast

Personalization shipped. Attribution fixed. Revenue impact visible in week one.

11 wk

To production

35%

Ad spend ROI improvement

“Series B money buys runway. We stopped burning it on a data foundation that wasn't working.”

CTO, VC-Backed Consumer Tech

0 AI

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