C
Coratech AI
Case Studies

Real problems. Real results.

We let the work speak for itself. Here are some of the problems we have solved and the outcomes we delivered.

Rebuilding Compliance for a Global Bank
Financial Services

Meridian Financial Group

14 months

Rebuilding Compliance for a Global Bank

A global bank with $340 billion in assets needed to overhaul its compliance systems after regulators identified serious gaps in how it monitored transactions.

PythonApache KafkaElasticsearchPostgreSQL
2 hrs

Average detection time, down from 48 hours

91%

Reduction in manual compliance tasks

$4.2M

Annual operational savings

Zero

Regulatory findings in follow up examinations

Giving Doctors Their Time Back
Healthcare

Atlas Health Network

8 months

Giving Doctors Their Time Back

A regional health network with 47 hospitals deployed ambient AI documentation across its physician workforce and recovered thousands of hours of clinical capacity.

Whisper APIGPT-4HL7 FHIRReact
2.1 hrs

Documentation time saved per physician per shift

98.7%

Documentation accuracy rate

$28M

Annual capacity value recovered

4.7/5

Physician satisfaction score

Smarter Inventory Across 180 Distribution Centres
Logistics

Nexus Global Logistics

11 months

Smarter Inventory Across 180 Distribution Centres

One of the world's largest logistics operators deployed AI forecasting that cut inventory holding costs by 23 percent while improving fulfilment rates.

PythonXGBoostApache KafkaSnowflake
23%

Inventory cost reduction

99.1%

Order fulfilment rate

$41M

First year savings

4 hours

Forecast update frequency, down from 90 days

Faster Due Diligence for a 600 Attorney Firm
Legal Services

Caldwell and Reyes LLP

6 months

Faster Due Diligence for a 600 Attorney Firm

An international law firm deployed contract analysis AI that cut due diligence time by 78 percent and opened up capacity for more deals.

Claude APIPythonReactPostgreSQL
78%

Reduction in due diligence time

4x

Transaction capacity increase

$2.8M

New annual revenue from deal velocity

99.4%

Clause extraction accuracy

Cutting Admin in Half Across a 12 Campus University Group
Education

Brightpath University Group

10 months

Cutting Admin in Half Across a 12 Campus University Group

A university group with 85,000 students deployed AI automation across admissions, student records and compliance reporting and freed up hundreds of staff hours every week.

Next.jsNode.jsPostgreSQLPython
50%

Reduction in administrative workload across all campuses

3x

Faster admissions processing from application to decision

12 mins

Compliance report generation, down from two weeks

94%

Staff satisfaction with the new systems

Automated Claims Processing for a Regional Insurer
Insurance

Vantage Insurance Group

9 months

Automated Claims Processing for a Regional Insurer

A regional insurance company processing 40,000 claims a month deployed AI automation that cut processing time by 65 percent and identified $3.8 million in fraudulent claims in the first year.

PythonClaude APIPostgreSQLApache Kafka
65%

Reduction in claims processing time

$3.8M

Fraudulent claims identified in year one

4.1 days

Average claim resolution, down from 11 days

38%

Reduction in customer complaints

Predictive Maintenance Across 6 Production Facilities
Manufacturing

Crestview Industrial Group

12 months

Predictive Maintenance Across 6 Production Facilities

A mid-sized industrial manufacturer deployed AI-powered predictive maintenance across its facilities and cut unplanned downtime by 35 percent in the first six months.

PythonTensorFlowApache KafkaInfluxDB
35%

Reduction in unplanned downtime within six months

$12M

Estimated annual savings from prevented failures

340

Machines monitored in real time

21 days

Average advance warning before predicted failures

Personalisation at Scale for a Pan-African Retailer
Retail and E-Commerce

Kora Retail Group

8 months

Personalisation at Scale for a Pan-African Retailer

One of West Africa's largest retail chains deployed AI personalisation and demand forecasting across its channels, driving a 28 percent increase in average order value.

PythonNext.jsPostgreSQLApache Kafka
28%

Increase in average order value within three months

45%

Reduction in stockouts across all locations

3.2x

Improvement in email campaign conversion rates

$6.1M

Additional revenue attributed to personalisation in year one

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