Dermis + Prgrmmd
Dermis + Prgrmmd
Impact study
Impact study
Powering autonomous clinic onboarding through multi-agent infrastructure in the rewards industry.
Powering autonomous clinic onboarding through multi-agent infrastructure in the rewards industry.
Sector
Financial Technology
Financial Technology
Headquarters
London, United Kingdom
Capability
Multi-Agent AI
Published
March, 2026
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About
About
Dermis is a mobile application platform for the aesthetics industry. Clinics use the platform to deploy branded rewards, loyalty, and membership infrastructure directly to patients via iOS and Android.
The platform operates globally across med spas, skin clinics, and cosmetic practices.
Dermis is a mobile application platform for the aesthetics industry. Clinics use the platform to deploy branded rewards, loyalty, and membership infrastructure directly to patients via iOS and Android. The platform operates globally across med spas, skin clinics, and cosmetic practices.
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Challenge
Challenge
Onboarding was the bottleneck killing Dermis's ability to scale.
Every new clinic required 36 hours of manual work. Treatment menus extracted and standardised. Reward tiers, offers, and program logic configured by hand. Branding sourced and applied manually for every clinic. Communication cycles between the Dermis team and each new account added days to every deployment.
This bottleneck had compounding consequences. Sales could not close faster than operations could onboard. Per-clinic onboarding costs scaled linearly with headcount. The team was capped at 25 new clinics per month. Not because of demand. Because of bandwidth.
Dermis did not need a faster team. They needed infrastructure that eliminated the workload, not the workforce.
Onboarding was the bottleneck killing Dermis's ability to scale.
Every new clinic required 36 hours of manual work. Treatment menus extracted and standardised. Reward tiers, offers, and program logic configured by hand. Branding sourced and applied manually for every clinic. Communication cycles between the Dermis team and each new account added days to every deployment.
This bottleneck had compounding consequences. Sales could not close faster than operations could onboard. Per-clinic onboarding costs scaled linearly with headcount. The team was capped at 25 new clinics per month. Not because of demand. Because of bandwidth.
Dermis did not need a faster team. They needed infrastructure that eliminated the workload, not the workforce.
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Deployment
Deployment
PRGRMMD built and deployed Spider for Dermis: an autonomous multi-agent onboarding engine.
One URL in. One fully configured clinic out. Spider takes a single clinic website URL as input and produces a fully branded, deployment ready mobile application. Treatment menus, loyalty programs, reward tiers, and clinic-specific branding. All configured autonomously.
The Dermis team reviews the output and approves go-live. Spider handles everything else. Four agent layers. One pipeline. Twelve minutes from URL to live account.
PRGRMMD built and deployed Spider for Dermis: an autonomous multi-agent onboarding engine.
One URL in. One fully configured clinic out. Spider takes a single clinic website URL as input and produces a fully branded, deployment ready mobile application. Treatment menus, loyalty programs, reward tiers, and clinic-specific branding. All configured autonomously.
The Dermis team reviews the output and approves go-live. Spider handles everything else. Four agent layers. One pipeline. Twelve minutes from URL to live account.
Spider
Spider
How Spider processes a clinic from URL to live account. Four layers, each handling a distinct stage of the pipeline.
How Spider processes a clinic from URL to live account. Four layers, each handling a distinct stage of the pipeline.
Layer 01
Layer 01
Extraction
Extraction
Scraping agents pull treatment menus, pricing structures, and clinic details directly from the source. Raw clinic data is structured in seconds.
Scraping agents pull treatment menus, pricing structures, and clinic details directly from the source. Raw clinic data is structured in seconds.
Layer 02
Layer 02
Classification
Classification
Classification agents analyse, categorise, and map every treatment a clinic offers into the correct reward and loyalty structure. Autonomous. Accurate.
Classification agents analyse, categorise, and map every treatment a clinic offers into the correct reward and loyalty structure. Autonomous. Accurate.
Layer 03
Layer 03
Configuration
Configuration
Configuration agents build a complete, clinic-specific application: loyalty tiers, promotional offers, pricing rules, and a fully branded app identity.
Configuration agents build a complete, clinic-specific application: loyalty tiers, promotional offers, pricing rules, and a fully branded app identity.
Layer 04
Layer 04
Go-Live
Go-Live
Deployment agents sync the configuration into the Dermis platform. A customised mobile application, deployed to the App Store and Google Play. Ready for patients.
Deployment agents sync the configuration into the Dermis platform. A customised mobile application, deployed to the App Store and Google Play. Ready for patients.
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Impact
Impact
Onboarding went from Dermis's biggest bottleneck to a competitive advantage. Same team. Completely new capacity.
Onboarding went from Dermis's biggest bottleneck to a competitive advantage. Same team. Completely new capacity.
180x
Faster clinic onboarding
What previously required 36 hours of manual work now executes in under 12 minutes. End-to-end. Autonomous.
£120K+
Annual capacity recovered
Operational cost eliminated by Spider and returned to the business annually. No additional overhead.
<24h
Signed to live account window
Contract signed to live clinic app on the App Store and Google Play in under 24 hours.
4.0
Full-time payrolls recovered
Manual data entry, treatment mapping, rewards configuration, and branding, all absorbed by the system.
Thomas Gonnet
Thomas Gonnet
Chief Executive Officer, Dermis
Chief Executive Officer, Dermis
"Client onboarding was honestly our biggest block at Dermis. Every new clinic meant a lot of manual work, sorting through treatment menus took us ages. It was the one thing holding us back from scaling. With our new agentic system it's now down to a few minutes. All that back and forth friction is gone. Our team used to spend most of their week just getting clinics live. Now we review the output, approve it, and return to focusing on growing Dermis".
"Client onboarding was honestly our biggest block at Dermis. Every new clinic meant a lot of manual work, sorting through treatment menus took us ages. It was the one thing holding us back from scaling.
With our new agentic system it's now down to a few minutes. All that back and forth friction is gone. Our team used to spend most of their week just getting clinics live. Now we review the output, approve it, and return to focusing on growing Dermis".
Enterprise AI Capability
Enterprise AI Capability
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Build With PRGRMMD
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