We don’t yet have published case studies to show you — and we’d rather tell you that directly than dress up early conversations as proven results. Promantra.ai is a new line of business, built on more than 20 years of Promantra’s healthcare revenue cycle operating experience, and we intend to earn the right to publish results the same way we’d expect any AI vendor to: through real, verifiable pilots with clear success criteria agreed upfront.
When a case study does appear here, it will be built around a measurable, agreed-upon outcome — turnaround time, accuracy, cost, or volume — not a vague statement about improved efficiency. We hold ourselves to the same evidentiary standard we apply whenever we evaluate someone else’s AI model for a client.
If you’re an AI company or healthcare organization interested in being one of our first referenceable pilot partners, we’d like to hear from you. Early partners typically get more attention, more influence over what gets measured, and, often, better commercial terms than later ones.
We also believe context matters as much as the number itself. A future case study showing a 40% reduction in denial rate will mean something different for an organization that started at 3% versus one that started at 15% — so once results are published, every case study will include enough context to judge whether it’s genuinely comparable to your own situation.
Case studies will appear here as pilots complete.
Every published result will be client-approved and backed by an agreed measurement.These filters are in place for when published case studies begin to appear — organized by the same five use cases described throughout the site, so it’s easy to find a result relevant to the workflow you care about most once results exist. We’ll add further filters, such as organization size and payer mix, once there’s enough published material to make those distinctions meaningful.
If your organization is exploring AI for a revenue cycle or reimbursement workflow, joining Promantra.ai’s pilot program is the fastest way to get a tailored answer — and to help shape what gets measured and published first.
We’ll work with you to scope a pilot around a single, well-defined workflow, agree on success criteria before any work begins, and give you full visibility into results throughout, whether or not you choose to be named publicly afterward. It typically starts with the same short discovery conversation described on our Contact page, so there’s no separate process to learn.