Lack of specificity and denials cost millions. Assisted Revenue Cycle from Suki turns data discipline into time and trust.
A new lens on an old problem
Revenue cycle management doesn’t usually inspire passion. It is a complicated process, heavy with rules, and not owned by any single entity. Yet it is the backbone of healthcare payment, connecting every note, diagnosis, and code submission, to an organization’s financial stability.
When any step of this connected process fails, the cost is massive. Industry data suggests that 15%-20% of medical claims are initially denied by insurers, and 65 percent of those claims are never resubmitted. For hospitals and medical groups, that can mean millions of dollars lost each year—and just as importantly, hours of time spent correcting, resubmitting, and explaining. This time often works its way all the way back up to the encounter with the clinician, adding yet another burden of queries, clarifications, attestations, and administrative work.
RCM isn’t just a billing issue; it’s a presence issue. Every amended encounter or denial represents time pulled away from patients.
The link between accuracy and presence
Clinicians don’t enter medicine to chase codes. Yet vague language like “history of diabetes” instead of “diabetes with neuropathy” or ordering a colonoscopy without indication or evidence creates downstream confusion. It could create issues with pre-service denials, prior authorization, utilization management, and coders who also spend valuable time interpreting intent, reviewing, or auditing–all while clinicians are drawn back into administrative loops.
At Suki, we see this as a chance to bridge the gap between how clinicians communicate and how systems need to understand them. Our AI doesn’t just transcribe; it understands context and intent, producing documentation that’s clinically precise and payer-compliant. The more specific the note, the fewer denials, the fewer amended encounters, fewer queries, fewer supplemental data requests, the more time clinicians regain for care.
Rigor that scales
This isn’t theoretical. Every month, Suki processes millions of clinical notes. Each one represents a moment of care—a patient story, a decision made. Within that ocean of data, our job is to ensure quality, precision, and trust.
We’ve built systems that analyze the accuracy of each note at the sentence level, constantly comparing human and machine performance. That level of scrutiny is what allows us to move beyond ambient documentation into assisted revenue cycle, where every detail, from history to assessment, is captured with clarity and confidence.
Coding as a reflection of intent
Providers and coders often operate in different languages. Clinicians think in stories; coders think in structures. Suki’s approach bridges those worlds by aligning the diction of the note with the provider’s intent.
When it comes to coding, precision is critical. Without it, claims are denied, and have to be revised and re-submitted. and each amended encounter can take up to 30 minutes to fix. Now think about that 30 minute process multiplied across thousands of visits. It’s a giant source of lost efficiency and missed revenue.
Suki consistently reduces amended encounter rates by 40-50%. Reducing that rework not only recovers revenue but also rebuilds morale. Every minute not spent revisiting a note is a minute given back to patient care.
Beyond codes: redefining the revenue cycle
The impact of AI on RCM extends far beyond coding. Take medical decision-making (MDM), where complexity and risk drive reimbursement. Today, time spent often serves as a proxy for complexity, a flawed assumption that rewards inefficiency. AI can help reverse that by grounding MDM in what was said, observed, and decided, not simply how long the encounter lasted.
Transparency will evolve as well. In an ambient environment, clinicians should be able to see why a code was suggested and where it came from. That visibility builds trust. The challenge isn’t only generating the right code, but doing so while keeping the reasoning clear and the workflow fast.
Over time, the term “revenue cycle management” itself may fade. Documentation, coding, and billing will converge into one intelligent, real-time process–we call this assistive for this very reason. Suki will be assistive to the system, working quietly in the background, accurate, invisible, and always on.
The presence dividend
For all its complexity, the goal of revenue cycle is simple: ensure that the care delivered is recognized and rewarded fairly. If AI can make that possible; by reducing denials, cutting amended encounters, and eliminating redundant tasks, we return something far more valuable than money. We return time.
Every innovation at Suki starts with the same question: does this serve the clinician? Our expansion into assisted revenue cycle is no different. Precision and automation are the means to give people back what they’ve lost; focus, connection, and presence.
When documentation is clear, when codes flow naturally from the story of care, when denials and amendments become rare, clinicians can stay where they belong: in the room, with the patient, fully there.
That’s why Suki is leaning into this space. Because revenue cycle management isn’t just about money; it’s about meaning. When we close the gap between clinical intent and financial integrity, we restore trust and presence at the heart of care.
