Case studies
Case Studies
Crushable delivers real outcomes for real clients. These case studies show how the xOPS platform and our services solve complex operational challenges across healthcare, internal IT, and manufacturing.
Case study 01
A Healthcare Provider Runs on One Platform
Clinical documentation lived in one system, the census on a paper board, and billing in a third — with underpayments no one could see and state surveys that turned into fire drills.
Crushable stood up xMED — Chart (a full EHR), Cadence (digital census), Claims (837/835, eligibility, ERA posting, and general ledger), and Contracts — on the provider’s own single-tenant instance, with HIPAA and 42 CFR Part 2 built into the schema.
Clinical records, census, and the revenue cycle now run in one audited system. Every claim is priced against its actual payer terms, underpayments are flagged and appealed automatically, and survey-ready exports replace the fire drill.
Case study 02
An Internal IT Team Clears the Backlog Without Hiring
A small IT team was buried under routine tickets, manual onboarding and offboarding, and security alerts scattered across multiple tools — leaving no capacity for projects.
xOPS Tech put an AI teammate in the ticket queue, automated onboarding and offboarding, aggregated alerts from the security stack into one triage pipeline, and gave employees a self-service portal — all over the tools the team already runs.
Routine tickets are triaged and, where safe, resolved end to end with a full audit trail. Access is granted and revoked on schedule, and the team’s time shifts from the queue to the roadmap.
Case study 03
Precision Supply, With AI on Top of the ERP
Quality responses, part-identity resolution, and customer-specific requirements were manual, slow, and error-prone — sitting in spreadsheets alongside the ERP.
xOPS layered intelligence over the existing ERP — AI-drafted quality responses (8D, CAPA, PPAP), part-identity resolution, and customer-specific requirement extraction — under the doctrine that AI drafts and a human approves.
Quality and supply workflows are drafted by AI and approved by people, with an audit trail throughout. The team moves faster on responses without giving up control or traceability.
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