Case Study
March 2026
9 min read

Case Study: AI Skin Screening as an Employee Wellness Benefit

Real-world pilot data from enterprise deployments showing engagement rates, triage outcomes, early detection impact, and projected ROI for AI skin screening in the workplace.

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Pilot Overview and Methodology

ScanSkinAI partnered with a leading insurance broker and a corporate wellness platform to pilot AI skin screening across multiple enterprise clients. The pilot ran over 6 months, covering employees across financial services, construction, and technology sectors — chosen to represent different risk profiles and workforce demographics.

The pilot was designed to answer three key questions that B2B buyers consistently ask: Does AI screening generate measurable ROI? Will employees actually use it? And does the triage system effectively route cases to the right level of care? The results exceeded expectations on all three dimensions. For the broader cost-reduction case, see how AI skin screening reduces healthcare costs.

Employees accessed ScanSkinAI via direct app download with SSO authentication through their employer's identity provider. Participation was voluntary and confidential — employers received only aggregated, anonymised engagement and triage distribution data. Individual scan results remained private to each employee.

6 months

Pilot duration

3 sectors

Industries covered

1.9×

Return on investment

45%

Employee engagement rate

Triage Distribution Results

The AI triage system distributed cases across four clinical pathways, demonstrating significant potential for specialist visit reduction. These results are consistent with what health economists would predict for a well-calibrated screening tool — the majority of skin concerns are low-risk and manageable without specialist intervention:

42%

Self-Care

Low-risk conditions managed with evidence-based home care guidance and monitoring recommendations

28%

Primary Care

Moderate concerns routed to GP or primary care evaluation within standard timeframes

21%

Routine Dermatology

Conditions requiring specialist dermatology assessment within 2–4 week standard timeframes

9%

Urgent Pathway

Suspected malignancy or severe conditions flagged for fast-track referral and immediate clinical review

Key Findings From the Enterprise Pilot

Exceptional Employee Engagement From Day One

45% of eligible employees used the screening tool within the first 3 months — significantly higher than typical wellness programme engagement rates of 20–30%. The most-used feature was mole checking, followed by rash analysis and chronic condition monitoring.

Significant Specialist Referral Reduction

70% of skin concerns were resolved without a specialist visit (self-care + primary care routes), representing a 30%+ reduction compared to standard referral patterns. This directly translates to cost savings for employers and reduced waiting times for employees who do need specialist care.

Meaningful Early Detection Impact

The pilot identified 3 cases requiring urgent dermatology referral that would likely have gone undetected for months without accessible screening. One case was confirmed as early-stage melanoma — a single detection that justified the entire pilot investment in terms of both cost savings and life outcomes.

Outstanding Employee Satisfaction Scores

92% of users rated the experience positively. The most-cited benefit was 'peace of mind' — reducing anxiety about skin concerns without needing to wait weeks for a dermatology appointment. This psychological benefit alone improves perceived wellness programme value.

Projected ROI Model From Pilot Data

Based on the pilot results, we've constructed a conservative ROI model for a 1,000-employee deployment. These projections use actual triage distribution data and published cost benchmarks:

Annual platform cost(1,000 employees × $2/mo)
$24,000
Specialist visits avoided(~180 visits × $250 avg)
-$45,000
Early detection savings (projected)(Statistical avg: 0.5 cases)
-$75,000
Reduced absenteeism(Faster treatment pathways)
-$12,000
Projected ROI1.9×

Lessons Learned and Deployment Recommendations

The pilot revealed several best practices for maximising engagement and ROI in enterprise AI skin screening deployments:

  • Launch with a company-wide communication campaign explaining the benefit and emphasising privacy protections
  • Enable SSO to remove friction — employees who don't need to create accounts engage 2× more often
  • Position skin screening alongside existing wellness benefits (mental health, gym) rather than as a standalone programme
  • Share aggregated (anonymised) results with leadership to demonstrate engagement and justify continued investment

Run Your Own Pilot

See how AI skin screening performs for your organisation with a no-commitment pilot programme.

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