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Solution Story · Compliance & Quality

Quality control that holds up in a dispute

Medical equipment repair can't run on "the technician checked it and it seemed fine." We turned inspection into a structured, template-driven workflow — with photographic evidence and measurements attached to every repair, permanently.

The problem

Experienced technicians, inconsistent records

The client's technicians knew their craft. But inspection knowledge lived in their heads, and documentation lived in free-text notes and email attachments. Two technicians inspecting the same device produced two different records. When a customer disputed a repair — or an auditor asked for evidence — reconstructing what actually happened meant archaeology, not lookup. And quoting suffered too: without structured inspection data, every quote started from scratch.

How we decided

Three approaches to inspection. Two rejected.

✕ Rejected

Free-form notes

Technicians document findings in text fields — flexible and fast to build.

Why not: inconsistent between people, impossible to report on, poor auditability. Quality depends entirely on who did the inspection.
✕ Rejected

One universal checklist

A single standardized checklist applied to every device type.

Why not: an ultrasound probe and a surgical retractor need completely different checks. A universal list is mostly irrelevant for everything.
✓ Accepted

Device-specific templates

Each equipment category defines its own inspection: required checkpoints, measurements, pass/fail criteria, mandatory photos.

Why: relevant checks only, consistent across every technician and lab — and templates evolve as data, no code release needed.
What we built

Two gates that nothing skips

Quality control isn't a checkbox at the end. It happens twice — and the workflow engine physically prevents shortcuts.

Equipment received INITIAL QC template · photos measurements failure findings Quote & approval Repair FINAL QC verify vs. initial spec compliance final photos Ship failed check → reopen repair no quote without inspection ↓ no shipment without verification ↓
Initial QC feeds the quote; Final QC gates the shipment. The state machine enforces both — no exceptions.
Anatomy of a template

Inspection knowledge, captured as configuration

Each equipment category carries its own template defining required checkpoints, mandatory measurements, pass/fail criteria, required photographs, and which fields must be completed before the workflow may advance.

Because templates are data — not code — the quality team adds a new device category or tightens a procedure without waiting for a software release. Institutional knowledge stopped retiring when technicians did.

The same structured data feeds quoting: confirmed failures and component findings flow straight into the commercial proposal, with photos as supporting evidence customers can see in the portal.

Photos as business evidence

Incoming condition, damage detail, after-repair state — images attach to the operational event, not a shared drive. Warranty conversations start from facts.

Before/after, side by side

Final QC verifies against Initial QC findings on the same work order. "Did the repair fix what we found?" has a documented answer, every time.

Customers see the proof

Inspection findings and photos surface in the customer portal alongside the quote — approvals got faster because trust got easier.

Results

From individual skill to institutional capability

2
enforced QC gates on every repair
100%
of repairs with structured inspection records
700k+
work orders with permanent QC evidence
0
shipments without verified quality
Business quality can't rely on individual expertise alone. Templates preserved the knowledge, standardized the work, and turned inspections into data the whole platform could reuse.
Why QC became the foundation for quoting, disputes, and audits alike