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Records
Claims, remittances, contracts, payer policies, health records, legacy RCM data, and homegrown knowledge sources.
Payment IntelligenceRoadmap. Not available today.
The Payment Intelligence Layer: a stateful runtime environment that learns. Institutional context for agents.
It remembers every contract, policy, decision and outcome across time, governs what the Agentic Action Layer may do, and surveils every payment against the rule that applied.
Payment Intelligence is a future roadmap vision, not a product available today.
The EHR serves as the clinical source of truth, but a financial source of truth doesn't yet exist.
SOURCES: a16z (2023)
Roadmap. Not available today.
This full platform suite is not available today.
Payment Intelligence represents Lumivera's broader enterprise vision. The roadmap will be shaped by customer priorities while Lumivera remains focused today on Autonomous Revenue Defense. What is live today: Rate Intelligence from payer machine-readable files, the AI Analyst, and Rate Intelligence Reports. Contract Intelligence is next.
Stateful institutional memory
Point solutions act. The Payment Intelligence Layer remembers why.
Point-solution AI agents fail in healthcare finance because they lack stateful institutional memory. They act on the contract as loaded today, not the one that governed the claim. Lumivera’s future vision provides the Payment Intelligence Layer powered by a Temporal Knowledge Graph, running continuous autonomous surveillance across the revenue cycle.
Payment Intelligence LayerRoadmap concept
Remember
Preserve contracts, policies, decisions, exceptions, and outcomes across time.
Govern
Evaluate every agent action against the applicable institutional and financial context.
Surveil
Continuously compare real-world revenue behavior with modeled expectations.
A future surveillance layer across the revenue cycle
Continuously compare transactions, payer behavior, and reimbursement yield with the contracts, policies, regulations, and expectations that should govern them.
Real-time transaction surveillance
Monitor transactions continuously against digitized contracts, market rates, policies, and regulations.
Policy change net revenue impact on day one.
Detect unannounced payer policy shifts on the day they take effect, with the net revenue impact modeled against your volumes.
Revenue pattern and root-cause detection
Automatically identify hidden revenue leaks, root causes, and systemic underpayment patterns.
Weekly performance vs. expectations
Receive automated weekly performance tracking comparing actual reimbursement yield against modeled expectations. Expected payment is computed from the contract in force on the date of service, not the contract as loaded today.
All connected data becomes AI context
A system of record stores facts. A system of why explains the action.
Lumivera's Temporal Knowledge Graph connects what happened to the rule, relationship, historical state, and business intent.
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Rules
The contract logic, regulatory boundaries, business definitions, permissions, and governance controls that determine what is allowed.
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History
Which version was active, what changed, how similar cases were handled, and the decision trace behind previous outcomes.
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Intent
The executive goal, operational playbook, exception logic, and reason the action matters to the business - not only the next task in the queue.
How connected data becomes governed action
Connect the records. Preserve the state. Supply the why. Orchestrate the action.
01
Connect
Read data where it already lives.
Use read-in-place connections across Epic, Oracle Health, the clearinghouse, contracts, payer policies and the warehouse.
02
Contextualize
Preserve relationships and time.
Link each event to the applicable rule, entity, contract version, policy state, exception, and historical precedent.
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Serve
Give AI the relevant business memory.
Deliver the right context at runtime so agents and copilots know what the event means, why the workflow exists, and where the boundaries are.
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Orchestrate
Turn executive intent into governed action.
Coordinate people, agents, and systems with traceable steps, scoped authority, human review, and an auditable outcome.
Payment Intelligence Layer
Make every healthcare AI investment understand the same business
Lumivera sits between connected data and the AI systems that need to reason and act. The goal is not to replace every model. It is to give every model the same governed institutional memory.
Agentic systems
Give new agents persistent institutional context, scoped authority, and a traceable reason for each action.
Legacy RCM stack
Add understanding and orchestration around the systems already running claims, denials, payments, and work queues.
Health records
Connect relevant operational and historical context without turning Lumivera into another clinical system of record.
Homegrown AI and RAG
Supply internal copilots and retrieval systems with governed business meaning, the rule as it stood on the date of service, and decision history.
Zero copy.
Lumivera reads connected data in place, then adds the relationships, business definitions, the rule as it stood on the date of service, governance, and decision history AI needs to act responsibly.
Context is a control plane, not just memory
As AI moves from answering questions to taking action, Revenue Cycle needs visibility into what the system knew, why it acted, and which authority it used.
Time Travel audit.
Reconstruct the exact contract, policy, and business context that applied when an event or action occurred.
Source and provenance
Keep each answer and recommendation tied to the authoritative record, version, and effective date.
Governed boundaries
Supply permissions, policy constraints, and human approval paths alongside the data used for action.
Decision trace
Preserve the sequence of evidence, rules, exceptions, and handoffs behind the outcome.
Shared context across agents
Give multiple AI systems a consistent institutional foundation instead of isolated, conflicting memories.
Institutional knowledge that persists
Turn old files, operating procedures, and tribal knowledge into durable machine-readable context.
Common questions
Context-aware AI, explained.
Roadmap. Not available today.
What does business context mean for healthcare AI?
Business context is the combination of rules, relationships, history, definitions, permissions, exceptions, and organizational intent an AI system needs to interpret data correctly. For Revenue Cycle, that can include the contract version, payer policy, claim history, filing window, prior precedent, and the reason a workflow exists.
How does Lumivera keep AI from forgetting context?
Lumivera’s Temporal Knowledge Graph preserves connected records, rules, effective dates, decisions, and historical state. Instead of treating every request as a fresh conversation, AI systems can retrieve the institutional context that applied to the specific event and time.
How is this different from RAG or document search?
RAG is useful for retrieving relevant text. Lumivera adds structured relationships, contract logic, the rule as it stood on the date of service, decision history, governance, and orchestration. The goal is not only to find a document, but to understand which rule applied and why a particular action is appropriate.
Can Lumivera improve AI tools we already use?
That is the intended architecture. Lumivera can act as a Payment Intelligence Layer around agentic systems, legacy RCM platforms, health records, and homegrown AI or RAG tools so they operate from the same governed institutional memory.
Does zero copy mean Lumivera duplicates our data?
No. Zero-copy architecture means Lumivera reads connected data in place and adds relationships, metadata, business meaning, and temporal context rather than requiring a wholesale data migration.
How does Lumivera reduce black-box risk?
Lumivera preserves the source, rule, effective date, and decision trace behind an action. Teams can review what context was used, reconstruct the state at a historical moment, and keep humans in control of approvals and exceptions.
What can Revenue Cycle teams use this for now?
The immediate use case is Autonomous Revenue Defense: detect payer changes, find underpayments, classify denials, assemble historical evidence, and carry the correct contract and policy context into review and appeal workflows.
Where context can lead
Start with revenue defense. Expand only where customers prove the value.
Lumivera’s immediate focus is Autonomous Revenue Defense. The same context-oriented architecture creates a potential path toward broader payment intelligence across the revenue cycle and administration. Customers will shape that future.
Now01
Autonomous Revenue Defense
Live today: Rate Intelligence from payer machine-readable files, the AI Analyst and Rate Intelligence Reports. Next: Contract Intelligence, payment variance on every remittance, appeal evidence in minutes, not hours.
Next02
Payment intelligence across the whole revenue cycle.
Expand the same context and orchestration layer across the revenue lifecycle to execute the CFO playbook at scale.
A potential future03
Autonomous administration
Govern repeatable processes and procedures with transparent, context-aware agents. The actual roadmap remains customer led.
The long-term idea: the Payment Intelligence Layer that helps executive goals survive every handoff - from policy to person to agent to action.
Shape the future
Tell us where payment intelligence should go next.
Payment Intelligence is a future roadmap vision, not a product available today. If this Payment Intelligence Layer addresses a priority for your health system, we'd value the opportunity to learn from your requirements.
Discuss the roadmap