Case Studies

Enterprise AI Training Results

See how organizations across healthcare, financial services, and technology are building measurable AI capability with the NATIVE framework.

Healthcare

Fortune 500 Healthcare System

6 months 12,000+ learners

Challenge

A leading health system with 45,000 employees needed to upskill clinical and administrative staff on AI-assisted workflows while maintaining strict HIPAA compliance. Previous training initiatives had a 6% completion rate.

Approach

Deployed the full NATIVE framework with HIPAA-specific modules. Role-based learning paths for clinical staff, administrators, and IT teams. Integrated with existing Epic EHR training workflows.

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Results

92%
Completion Rate
vs. 6% previous
3.2x
Faster Competency
Time to AI proficiency
$4.2M
Annual Savings
Process automation gains

The role-based approach meant our clinical staff got exactly what they needed — no wasted time on irrelevant content.

Chief Learning Officer
Financial Services

Global Financial Services Firm

9 months 8,200 learners

Challenge

A top-20 global bank needed to train 8,000 professionals across risk, compliance, and trading on responsible AI adoption. Regulatory scrutiny demanded verifiable competency, not just course completion.

Approach

Custom NATIVE implementation with regulatory compliance overlays. Assessment-heavy curriculum with hands-on labs using anonymized financial datasets. SOC 2 and GDPR-compliant delivery infrastructure.

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Results

8,200
Professionals Trained
Across 14 countries
97%
Assessment Pass Rate
First attempt
736%
Measured ROI
Within 12 months

ScaledNative was the only platform that could prove competency to our regulators — not just show completion certificates.

Head of AI Strategy
Technology

Mid-Market SaaS Company

4 months 850 learners

Challenge

A 2,000-person SaaS company needed to transform product and engineering teams from AI consumers to AI builders. Internal hackathons had generated excitement but no sustained capability change.

Approach

NATIVE Architect and Transform phases focused on engineering teams. Hands-on labs with the company's actual tech stack. Integration with internal CI/CD pipelines for practical application.

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Results

40%
Productivity Gain
Engineering team output
18
AI Features Shipped
Within first quarter
95%
Would Recommend
Internal NPS survey

The difference was immediate. Teams went from talking about AI to shipping AI features within weeks.

VP of Engineering

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