Weekly procedure reconciliation
Med spas carry malpractice insurance. They just won't use it for small needle procedures like Botox or fillers. The risk to the policy isn't worth it. So when something goes wrong, clinics will either absorb the cost or let it escalate.
Olivarch closes that gap with supplemental insurance built specifically for those procedures. AccelOne built the system they use to provide it.
Three to four months. A team of four. A platform that previously would have taken eight to twelve months and a significantly larger team.
AccelOne partnered with Olivarch to design and build a HIPAA-focused insurance platform from the ground up. Rather than working from a fixed spec, both teams stayed closely aligned throughout, refining workflows and validating operational assumptions as the platform took shape.
Stack: Python backend, React frontend, Postgres database,
Docker on Azure DevOps.
Two environments delivered: staging and production.
Team: One frontend dev, one backend dev, one technical PM, one product manager. AI-assisted development made that team size possible.
Every med spa names their procedures differently. AccelOne built a mapping layer that ingests each practice's procedure list from their EMR and normalizes it against Olivarch's master catalog. The model gets better as more med spas onboard, thus building a proprietary dataset of procedure naming patterns tied to claims history.
Insurance approvals still run on ISO-compliant documents from the late 1990s.
AccelOne built AI-assisted tooling to process and recreate them programmatically, significantly cutting error loops and reducing processing time.
AccelOne mapped the full lifecycle: med spa application, approval, policy issuance, procedure ingestion, claims filing.
Then built RBAC and onboarding flows to support it. Olivarch can now issue policies, ingest procedures, and process claims on a single HIPAA-compliant platform.
Weekly procedure reconciliation
Med spa onboarding
Document processing for insurance approval
The platform is designed to accumulate procedure images linked to claims data over time. That will become the training set for automated claims processing. As model confidence builds, human involvement decreases.
Two reasons:
The insurance industry isn't cleared for fully automated approvals or rejections yet. Human sign-off is still legally required.
Human review of edge cases builds confidence in the system and improves the underlying model over time.
MoSCoW prioritization sessions to align on what had to ship vs. what could wait.
Full system whiteboard early, covering databases, agentic layers, and med spa UX, before a line of code was written.
Parallel tracks: manual processes to hit the insurance due-diligence deadline while automation continued to build.
Passed the insurer's due-diligence check on a live production platform.
AI used internally for meeting synthesis, sprint planning, and roadmap decisions.
Adapted mid-build, moving away from detailed Linear tickets when they became overhead for the engineering team.
Olivarch is a supplemental insurance company built specifically for med spas. Their policies cover needle-based cosmetic procedures, Botox, fillers, and similar treatments, where practices previously had no coverage option short of malpractice insurance.
A HIPAA-compliant platform covering the full med-spa lifecycle: digital onboarding, policy application, automated procedure ingestion and normalization, claims submission with image upload, and consolidated monthly reporting for brokers and insurers.
AI usage throughout: meeting synthesis, ticket generation, ideation, coding assistance. A lean embedded team with no functional handoffs removed the coordination overhead that typically inflates timelines.
Insurance approvals legally require human review. The procedure mapping model is also still in training. Human review of edge cases builds the confidence needed to reduce that involvement over time.
Every med spa names their procedures differently. AccelOne created a mapping layer that ingests each practice’s procedure list from their EMR and normalizes it against Olivarch’s master catalog. The model improves as more med spas onboard, building a proprietary dataset of procedure naming patterns tied to claims history.
Yes. AccelOne reverse engineers what was built, identifies where the architecture fails under compliance, security, and scale requirements, and rebuilds with the right foundation. The prototype serves as a product brief, not a codebase to inherit.
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