Jindal Healthcare
How Jindal Healthcare cut analytics costs by 90% with Supaboard
What we did
90%
Reduction in analytics cost across RCM operations
4h → 2m
Per-client analysis, down from four hours to two minutes
Every client
Claims, payer & denial data unified into one source of truth
"When a deep look costs four hours, you save it for problems you already know are problems. When it costs two minutes, you can chase a hunch."
Healthcare · Revenue cycle management (RCM)
Claims data · payer mix · denial patterns — across every client
Jindal Healthcare operates in revenue cycle management — one of the most data-heavy corners of healthcare. Every RCM client brings its own claims data, payer mix, denial patterns, and reporting expectations. Multiply that across a client roster and the analytics workload becomes its own operations problem.
With Supaboard, Jindal unified RCM data across clients into one source of truth. The trainable agent learned the domain — claim lifecycles, denial categories, payer behaviors, and the difference between aging that signals a process problem and aging that's just how a payer pays.
When answering questions costs as much as the work
A single client analysis used to take four hours. The work was spread across multiple analysts, multiple SQL queries, and multiple reconciliations between systems that were never designed to talk to each other:
Every client is its own dataset: Each one brings distinct claims data, payer mix, denial patterns, and reporting expectations.
A senior-analyst bottleneck: Answers required someone who could write, run, and reconcile SQL across disconnected systems.
Reconciliation overhead: Numbers had to be stitched together across systems that were never built to talk to each other.
Four hours per question: At that cost, analysis was rationed — saved for problems the team already knew were problems.
One source of truth, trained on RCM
Supaboard unified Jindal's RCM data across clients and learned the domain, so analysis stopped depending on who was free to write the query:
Unified across clients: All claims, payer, and denial data in one trusted source instead of scattered systems.
Trained on the domain: Supaboard learned claim lifecycles, denial categories, and payer behaviors — including when aging is a process problem versus just how a payer pays.
Anyone can ask: Analyses that required a senior analyst became conversations any operator could have with the data directly.
From four-hour SQL builds to two-minute answers
What used to mean opening a ticket, waiting for an analyst, and reconciling outputs now happens in a single question. Analyses that took four hours now take two minutes — and analytics cost dropped 90%.
The query layer, the reconciliation, and the senior-analyst time all collapse into a conversation any operator can have with the data directly.
Investigating at the speed of curiosity
What changed wasn't just speed — it was the questions that became askable. When a deep look cost four hours, the team saved it for known problems. When it costs two minutes, anyone can chase a hunch.
Denial root-cause work, client reviews, and benchmarking now start from curiosity, not from whatever the analytics queue had time for.
Supaboard's impact on Jindal Healthcare's operations
Jindal Healthcare now runs RCM operations on Supaboard. The change shows up across the team's day-to-day:
90% lower analytics cost: Answering questions no longer rivals the cost of the work the answers inform.
Four hours to two minutes: Per-client analysis is fast enough to run on demand.
More questions, answered: The team investigates freely instead of rationing what it can look into.
Client reviews, denial root-cause work, and performance benchmarking now happen at the speed of curiosity instead of the speed of the analytics queue.
