Built by AKOS
Built on FoundryEnterprise data foundations, workflow orchestration and governed AI operations — the infrastructure layer under every module.Ontology-drivenAudit trail per actionHuman in the loopNot another billing tool. Operational infrastructure for RCM.
Each module owns a piece of the financial workflow — pre-service, mid-cycle or post-service — and reads from the same operational model of patients, encounters, claims, payers and dollars. Nothing is monolithic, and nothing is a chatbot bolted onto a portal.
Your EHR, PM system, clearinghouse and document stores stay where they are. Modules plug into the workflow your teams already run — no data migration, no platform replacement, no retraining the floor. MEDKONG maps your systems into one ontology, then runs work against it.
Built for the work that slows revenue down.
Eight workflows, deployable independently. Two of them are where most operators start, because that is where the leakage and the labor are.
Patient access & eligibility
Coverage, benefits and estimates resolved before the visit, not after the denial.
Verified pre-visit96%Charge capture support
Missing and mismatched charges surfaced against documentation while the encounter is fresh.
Charges recovered / mo$212KCoding & documentation review
Code suggestions cited back to the note, specificity gaps flagged for the coder.
Coder throughput+31%Claim QA & submission
Claims checked against your own denial history, then held or released with a reason.
Predicted denials held74Payment posting & reconciliation
Remits matched, variances explained against contract, exceptions queued not buried.
Auto-posted88%Reporting, audit & oversight
Every automated action carries inputs, rationale and reviewer for audit.
Actions traced100%Deploy modules, not monoliths.
Platform replacements take years and are judged all at once. A kit is judged one workflow at a time, against the queue it was pointed at.
One workflow, in production
Pick the queue costing you the most. One module, one integration path, one operator workbench. Value measured on that queue alone.
Prior authAdjacent queues, same model
The second module inherits the integrations, ontology and governance already in place, so it lands in weeks rather than quarters.
CodingClaim QADenialsAn RCM operating layer
Enough modules in, and the kit becomes the layer leadership runs the cycle from: one view of work in flight, one audit trail, one place policy is encoded.
PostingARCommand centerAI that works inside the workflow.
Five workbenches, one operational model underneath. Each is a place a person works, with the model doing the assembly, the checking and the first draft.
Authorizations that clear before the appointment does.
Pre-auth fails on assembly, not judgment: the requirement is buried in a payer policy, the evidence is in three systems, and the clock started yesterday.
The workbench determines whether auth is required, assembles the clinical packet with citations, submits through the payer channel and tracks the clock — putting a human only on the decision.
Payment posting & reconciliation
Remits matched to claims, variances explained against contract, exceptions queued instead of buried.
Executive RCM command center
Work in flight across every installed module: throughput, aging, denial patterns by payer, automation rate, human intervention.
MEDKONG is built on Palantir Foundry.
Serious workflow infrastructure needs a serious foundation. Foundry is what turns a dozen disconnected systems into one governed operational model — and what makes AI decisions inside revenue workflows traceable rather than plausible.
It is not a badge on the page. It is the layer every module reads from, writes to, and is audited against.
One governed data foundation
Source systems land once, with lineage and permissions carried through every downstream use.
A shared operational ontology
Claims, encounters, payers and accounts as objects every module reads and writes.
Orchestration and decision support
Workflows, queues and agent actions run against live objects, not exported spreadsheets.
Auditability by construction
Every automated decision traceable to inputs, rule or model, and reviewer.
Fragmented systems, one layer
A dozen systems of record become one place the revenue cycle is operated from.
Built to move operational metrics.
Measured against two multi-facility deployments running in production — not modelled targets.
Built for operators running complex revenue work.
RCM service operators
Margin is throughput per FTE. Deploy across client books, keep data separated, price against measurable automation rates.
Healthcare platforms
Building administrative software of your own? Use the kit as the operational backbone instead of rebuilding integrations and governance.
The MEDKONG intelligence stack.
Six layers. The bottom four are shared by every module — which is why the second module costs a fraction of the first.
Why AKOSThe team behind the kit builds the whole stack.
AKOS is a systems builder, not a design studio with an AI demo. The work is integration against real systems of record, canonical models that survive messy source data, agents that operate inside approval paths, and applications operators run their shift in.
That is why MEDKONG ships as a kit: every layer beneath the modules is infrastructure AKOS already deploys for enterprise operations.
akos.ai →Deploy the workflow you need. Expand from there.
Pick the queue
Two weeks of diagnostic on volumes, touches and leakage. One module chosen on numbers.
Connect the systems
EHR, PM, clearinghouse and documents mapped into the ontology, with access rules from day one.
Encode the rules
Payer policies, work queues, thresholds and approval paths configured to how your team works.
Run it live
Operators work in the module with automation supervised, then progressively released as accuracy holds.
Add the next module
The foundation is built. Adjacent workflows install against the same model and governance.
Bring modular AI to the revenue cycle.
A walkthrough runs 45 minutes: the workbenches running, the ontology behind them, and an honest scoping of what a first module would take in your environment.
The stack behind it
Built by AKOSIntegration, ontology, agents, applicationsBuilt on FoundryGoverned data, orchestration, full lineageDeployed module by module, into the systems you already run.