MEDKONG’s modular AI components deploy into an organization’s own revenue cycle systems, doing the first pass with evidence-backed work and humans in the loop.
SCOTTSDALE, AZ, UNITED STATES, September 16, 2026 /EINPresswire.com/ — AKOS.AI today announced the launch of MEDKONG, a modular AI kit for healthcare revenue cycle operations. Rather than software a team buys and logs into, MEDKONG is deployable orchestration, infrastructure that runs inside an organization’s own environment and connects the work from patient encounter to clean, supported claim.
Revenue cycle teams are under more pressure than ever. Denials keep climbing, payer rules shift faster than staff can track them, and experienced coders and billers spend their days assembling records and re-checking work instead of resolving the cases that actually need judgment. Rather than adding another dashboard to monitor, MEDKONG does the work itself, taking on the assembly, the checking, and the first pass, then handing a person the decision.
MEDKONG is modular by design and already live in two multi-location deployments, where claims have reached a 94% first-pass acceptance rate. Organizations started with a single AI module, then added more around specific operational needs, some working toward running the full system across the revenue cycle.
At the center of MEDKONG is a full orchestration of medical coding. The workflow can begin with audio and transcription capture, move through AI-assisted ICD-10 and CPT coding, route suggestions to a human coder, request provider clarification when the record is incomplete, apply payer pricing and billing logic, and scrub the claim before submission. AI completes the first pass. People remain responsible for the decision.
Every suggestion is tied to its supporting evidence and provenance: it never fakes an answer. If the record does not support a coding suggestion, payer determination, or next action, the system identifies what is missing and routes the case to the right person.
A hospital, skilled nursing facility, provider group, or revenue cycle team can begin with the part of the workflow creating the greatest strain and bring additional capabilities online over time. Modules include Eligibility and Benefits, Prior Authorization, Charge Capture, Coding and Documentation Review, Claim QA and Submission, Denials and Appeals, Payment Posting and Reconciliation, and AR Follow-up.
The platform supports role-based work across administrators, providers, coders, and billers, including Medicare and Medicaid workflows, absorbing the assembly, checking, and first-pass work that consumes their day. It frees staff hours across both front-office and back-office queues in the two production deployments.
Overall, manual touches per prior authorization have dropped 38%, measured in production, not modeled. Every claim is checked against the organization’s own denial history and then held or released with a reason, while teams keep final judgment on each case. In one deployment, front-office staff used to reschedule patients whenever authorization wasn’t clear at the desk. Now they clear those cases while the patient is still there and pass only the exceptions along for review.
The governed data and AI foundation beneath MEDKONG connects information from clinical, billing, payer, and document systems without turning the workflow into a black box. Every permission, input, suggestion, review, and action stays traceable, because the platform is built not to replace judgment but to stop wasting it.
MEDKONG can be deployed in a SOC 2 and HIPAA-compliant hosted environment or within a customer’s environment, depending on operational and security requirements. Facilities can use the MEDKONG workbenches and modules without needing to change their core technology stack.
More information and demonstration requests are available at medkong.ai and akos.ai/medkong.
About AKOS.AI
AKOS.AI builds operational data and AI systems for organizations that need software to work inside the real workflow. Its work spans integration, ontology, governed AI, workflow automation, and operator applications. MEDKONG is AKOS.AI’s modular AI kit for healthcare revenue cycle operations.
Learn more at akos.ai and medkong.ai
Sahil Saini
AKOS.AI
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