CRIS AI
Ask your revenue-cycle data a question. Get the answer, the explanation and what to do next.
CRIS AI is the intelligence layer across the CRIS platform.
Instead of searching through reports, comparing spreadsheets, opening several dashboards or asking analysts to investigate every question manually, you can ask CRIS AI what you want to know in ordinary language.
Not just the number. CRIS AI can help explain what happened, why it happened, what is causing it, what is affected, what needs attention and what management should consider next.
AI
Authorised scope
CRIS AIRevenue intelligence workspace
ASK CRIS AI
Why are our denials increasing?
ANALYSISEvidence available
Denial value increased 21% compared with the previous period.
Most of the increase is concentrated in two denial groups and one payer. The largest driver appears to begin before claim submission.
Change+21%Denied value
Primary driver46%Authorisation-related
Second driver31%Eligibility-related
View affected claimsView denial trendView payer analysisView workflow history
Ask a follow-up
Which payer contributed most?
Governed informationCRIS AI works with authorised CRIS data.
Evidence-linked analysisImportant answers can lead back toward supporting records.
Permissions inheritedAI should not become a shortcut around platform controls.
Human judgement retainedPeople remain accountable for material decisions.
YOU SHOULD NOT NEED TO BE AN ANALYST TO UNDERSTAND YOUR REVENUE CYCLE.
Ask the question the way you would ask a person.
You should not need to know which report to open, which dashboard contains the metric, which filter to use, which spreadsheet has the latest version, which formula produced the number, which SQL query to run or which analyst to ask.
Tell CRIS AI what you want to understand.
“Why did our cash collections fall in August?”
CRIS AI can investigate the available revenue-cycle information and help break the answer down into facilities, payers, claim volumes, payment timing, denial changes, A/R movement, underpayment patterns, operational delays, changes from previous periods and items requiring further investigation.
The aim is to move from a question to an understandable management answer without forcing the user to do the analytical work first.
AINew investigation
Management viewWhy did our cash collections fall in August?
Connecting collections, payments, denials, A/R, facilities and payer behaviour
CRIS AIThe decline is concentrated rather than organisation-wide.
What changed: payment timing weakened and unresolved A/R increased.
What to inspect: payer payment delay, denial movement and the affected account group.
CRIS AI DOES THE ANALYTICAL HEAVY LIFTING.
You ask. CRIS investigates.
CRIS AI is designed to work across the connected CRIS environment. Instead of analysing each area separately, it can bring the relevant context together around the question being asked.
ClaimsPaymentsRemittancesDenialsAppealsA/RFollow-upPayersProvidersFacilitiesRevenue exposureUnderpayment analysisReconciliationWorkflowManagement KPIsStatistical intelligenceControl resultsEvidence & history
AICRIS AIConnected investigation
AnswerExplanationRoot causeImpactActionEvidence
NOT JUST “WHAT HAPPENED?”
CRIS AI should help answer the questions that normally come next.
A traditional dashboard may tell you: Denials increased by 18%. CRIS AI can help you continue.
WHAT HAPPENED?
Denials increased compared with the previous period.
Start by confirming the change before trying to explain it.
Current period18% increaseCompared with previous period
That is the difference between displaying information and helping someone use it.
ASK CRIS AI ANYTHING ABOUT YOUR AUTHORISED CRIS DATA.
Start with the question. CRIS handles the investigation.
Different questions can be asked of the same governed information. Choose a perspective below.
EXECUTIVE QUESTIONS
ONE QUESTION CAN LEAD TO A COMPLETE ANALYSIS.
Example: “Why is our A/R getting older?”
CRIS AI can work through the question in layers, moving from confirmation to context, patterns, priorities and management summary.
STEP 01
Has A/R actually aged more than the previous period?
Confirm the movement before explaining the cause.
0–30Current 72%
31–60Current 58%
61–90Current 46%
91–120Current 39%
120+Current 34%
The result is an answer designed around the management question rather than a collection of unrelated reports.
FROM ROOT CAUSE TO ACTION.
Structure the finding around what the organisation needs to do next.
Where supported by the available evidence, an answer can include the finding, impact, root cause, correction, corrective action, preventive action, recommendation, priority, ownership, due date, evidence and limitations.
Fix the affected claims and resubmit them where appropriate.
The first level addresses today’s affected claims.
Determine why authorisation numbers are not being captured and correct that process.
The second level addresses why the problem occurred.
Introduce an upstream check that prevents claims from being submitted when required authorisation information is missing.
The third level reduces the chance of recurrence.
EXECUTIVE SUMMARY
Three issues require management attention.
- Authorisation-related denials are the largest recurring denial driver.
- Older A/R is concentrated in two facilities and one payer.
- Several high-value items remain unresolved beyond configured follow-up expectations.
Recommended management focus: address the recurring authorisation process issue first, then clear the high-value unresolved work group.
Ask a follow-up: Show me the evidence behind recommendation number three.
ASK FOR THE ANSWER THE WAY YOU WANT IT.
The same analysis can be presented differently for different users.
The user should not have to accept one fixed report format.
DIFFERENT PEOPLE CAN ASK DIFFERENT QUESTIONS OF THE SAME DATA.
The underlying information remains governed. The questions change according to the user’s role.
EXECUTIVES
“Give me the five things I should know this morning.”
A concise management briefing built from the same governed information used by operational teams.
CRIS AI WORKS ACROSS CRIS.
One intelligence layer across the platform.
Ask management, operational, financial, statistical, data-intake and workflow questions without treating each area as an isolated analytical world.
CRIS CORE + AI
Ask management questions about the revenue cycle.
Collections, cash, A/R, denials, revenue exposure, facility performance, payer performance, executive trends and management priorities.
Why are collections down?Which facility needs attention?What changed this month?Where is revenue exposed?
CRIS AI SHOULD SHOW ITS WORK.
An answer is more useful when you can understand why CRIS reached it.
AI should not become another black box. The objective is not “The AI said so.” The objective is “This is what CRIS found, and this is the evidence behind it.”
ANSWER
Collections fell because payment timing weakened for one payer while older unresolved A/R increased in two facilities.
01Source recordsClaims, remittances, payments
02Governed analysisPeriod, filters, rules, comparison
03AI explanationDrivers, likely causes, impact
04Recommended actionPriority, owner, evidence
ASK “WHY?” AGAIN.
Let the investigation continue naturally.
Why did collections fall?
The decline is concentrated in two facilities and one payer.
Which payer contributed most?
Commercial Plan A contributed the largest payment-timing change.
Why did that payer’s payments decline?
The affected claims show increased denial activity and slower resolution.
Which claims account for the difference?
What do those claims have in common?
Who owns the unresolved items?
What should we do next?
Turn these recommendations into actions.
A complex analysis can become a conversation rather than a sequence of manually created reports.
TURN AN ANSWER INTO WORK.
Intelligence should not stop at the conversation.
FINDING
High-value payer denials increased significantly.
AI recommendationReview the affected authorisation-related denial group.
ActionReview denial group
OwnerRCM Operations
PriorityHigh
Due dateConfigured workflow
Create actionAttach evidenceRequest approvalEscalateTrack follow-upVerify closure
AI helps identify and organise the work. The governed CRIS workflow controls what actually happens next.
MANAGEMENT BRIEFING ON DEMAND.
Ask CRIS AI to prepare the information before the meeting.
Organise available information into an understandable briefing rather than requiring teams to manually compile the same information repeatedly.
Monday Revenue-Cycle Briefing08:00
01
Denial recurrenceAuthorisation remains the largest recurring driver.
High02
Older A/RTwo facilities require management attention.
High03
Payer timingCommercial Plan A payment timing weakened.
ReviewManagement decisions requiredAssign process review · confirm payer escalation · clear high-value backlog
ASK CRIS AI TO EXPLAIN THE NUMBER.
Do not just accept a KPI.
Imagine the dashboard shows:
91.4%Collection rateWhy is it 91.4%?What caused it to change from last month?Which facility had the biggest effect?Which payer had the biggest effect?What are the underlying accounts?What should management do about them?
AI CAN FIND CONNECTIONS THAT ARE EASY TO MISS MANUALLY.
When information is spread across thousands of records, patterns can be difficult to see.
The aim is not simply to find more abnormalities. It is to help explain which ones matter.
Denial reason suddenly increased for one payer
Facility payment timing changed
Provider linked to an unusual claim pattern
Growing A/R segment linked to workflow delay
Recurring payment differences affecting similar services
Repeated operational failures preceding revenue exposure
Corrective actions that did not reduce recurrence
Similar problems appearing across multiple facilities
What is happening?
Why does it matter?
What should be considered next?
A useful AI answer should help connect all three.
EXAMPLE CRIS AI RESPONSE
“Why are denials increasing?”
This is the experience CRIS AI should aim to provide: a usable answer rather than another chart.
AI
Evidence linkedCRIS AI AnalysisDenial investigation
SUMMARY
Denial value increased 21% compared with the previous period.
Most of the increase is concentrated in two denial groups and one payer.
PRIMARY DRIVER 01
Authorisation-related denials
Approximately 46% of the increaseMost affected facility: Facility A.
Most affected service line: Imaging.
PRIMARY DRIVER 02
Eligibility-related denials
Approximately 31% of the increaseThe increase began during the second week of the month.
FINANCIAL IMPACT
$[value] currently affected.
$[value] remains within the configured appeal or correction window.
LIKELY ROOT CAUSE
Available evidence suggests the authorisation issue begins before claim submission rather than during payer processing.
IMMEDIATE CORRECTION
Review affected open claims and correct eligible submissions.
CORRECTIVE ACTION
Review the authorisation capture process for the affected service line.
PREVENTIVE ACTION
Consider a pre-submission validation control for required authorisation information.
MANAGEMENT RECOMMENDATION
Prioritise the authorisation issue because it represents the largest financial effect and appears to be recurring.
View affected claimsView denial trendView payer analysisView workflow history
CRIS AI SHOULD KNOW WHEN THE EVIDENCE IS NOT ENOUGH.
A confident answer is not always the correct answer.
“The payment difference is visible, but the available reimbursement information is insufficient to determine whether this represents a validated underpayment.”
That is more useful than inventing certainty.
Known factsCalculated resultsDetected patternsLikely explanationsRecommendationsUnresolved questionsMissing evidence
AI SHOULD NOT TURN SUSPICION INTO FACT.
CRIS preserves the stage of the finding.
01Payment varianceA difference exists.
02Potential underpaymentThe difference may require investigation.
03Validated underpaymentThe evidence supports the conclusion.
04Recovery opportunityThe amount may be pursued.
05Verified outcomeThe final financial result is supported by evidence.
CRIS AI can help investigate the issue. It should not skip the evidence required between those stages.
YOUR DATA. YOUR ACCESS. YOUR PERMISSIONS.
CRIS AI should not become a way around CRIS security.
The AI experience should operate within the user’s existing authorised scope. If a user cannot access a facility, patient identity, financial record or restricted area through normal CRIS controls, asking CRIS AI about it should not provide a shortcut.
Review Security & Trust →Tenant separationFacility accessRolesPermissionsPatient identitySensitive informationPrivate filesControlled revealAuditability
PATIENT IDENTITY SHOULD REMAIN EXCEPTIONAL.
Analysis does not automatically require every patient name.
A management user may ask which accounts are driving old A/R without exposing identity unnecessarily. Governed identifiers and masked information can be used where direct identity is not required. Where legitimate operational work requires identity, normal CRIS permissions and controlled reveal mechanisms should apply.
AI ACTIONS SHOULD BE TRACEABLE.
Material AI assistance should leave appropriate context.
Where CRIS AI produces analysis, creates a recommendation, helps generate a work item, suggests a classification, supports an investigation or summarises evidence, the system should preserve appropriate context so the organisation can understand how AI contributed.
The objective is accountable AI use, not invisible automation.
YOU REMAIN IN CONTROL.
CRIS AI does the hard analytical work. People retain accountable judgement.
CRIS AI can analyse, compare, summarise, explain, identify patterns, investigate likely causes, recommend actions, organise priorities, draft management summaries and surface supporting evidence.
It should not quietly replace accountable human decisions where professional, contractual, financial, security or regulatory judgement is required.
LESS TIME BUILDING REPORTS. MORE TIME ACTING ON WHAT THEY MEAN.
The question becomes less “How do I build the analysis?” and more “What do I need to understand?”
Revenue-cycle teams can spend enormous time exporting data, cleaning spreadsheets, reconciling reports, applying filters, creating pivot tables, preparing management summaries, finding the source of a variance, comparing periods and explaining numbers repeatedly.
THE EXPERIENCE SHOULD FEEL LIKE HAVING AN ANALYST INSIDE CRIS.
One that can work across the governed CRIS environment.
Ask a question.Ask a follow-up.Change the period.Change the facility.Ask for more detail.Ask for less detail.Ask for the root cause.Ask for recommended action.Ask for the executive version.Ask for the operational version.Ask for the evidence.Ask what remains unknown.
The conversation follows the investigation.
Revenue
“Why are we collecting less revenue this month?”
“Which revenue issues require management attention?”
“Where is revenue becoming delayed?”
A/R
“Which old accounts should we work first?”
“Why is our 120+ day A/R increasing?”
“Which payer accounts for the largest old balance?”
Denials
“What are our biggest denial problems?”
“Which denial is costing us the most?”
“Which denial causes are preventable?”
Underpayments
“Where may we have been underpaid?”
“Which payment differences are not yet validated?”
“Show me validated underpayments with no recovery action.”
Operations
“What should my team work on today?”
“Which queues are falling behind?”
“What has been touched repeatedly without progressing?”
Management
“What are the five things I should know today?”
“What changed since last month?”
“Which issue creates the greatest financial risk?”
Controls
“What failed reconciliation?”
“Which controls have repeated failures?”
“Which corrective actions have not worked?”
Strategy
“What should we focus on over the next 90 days?”
“Which problems are creating the greatest recurring revenue impact?”
“What process changes could produce the greatest improvement?”
ASK FOR RECOMMENDATIONS.
Move from analysis to improvement.
What should we fix first?Which problem is worth addressing at process level?Which payer deserves a management discussion?Where should resources be increased?Which workflow should be redesigned?Which control should be introduced?Which team needs additional attention?Which corrective action appears ineffective?What should we monitor next month?What should we stop doing?What should become automated?What requires further investigation?
The recommendations should remain connected to the evidence available in CRIS.
ASK FOR STRATEGY.
Turn repeated operational problems into management priorities.
“Based on the last six months, what should our revenue-cycle priorities be for the next quarter?”
CRIS AI could analyse denial patterns, A/R movement, payer behaviour, payment timing, workflow delays, underpayment findings, repeated control failures, recovery outcomes, facility performance and operational workload.
It can then organise the findings into potential strategic priorities, supporting evidence and recommended measures.
Management still decides. CRIS AI helps prepare the decision.
ASK IT TO KEEP GOING UNTIL YOU UNDERSTAND.
The point of CRIS AI is not to provide one impressive answer. It is to support a complete investigation.
Why?Why again?Show me the evidence.What should we do?How do we prevent recurrence?Who should own it?How will we know the action worked?
FINAL CTA
Stop doing the analysis before you can ask the question.
Ask CRIS what you need to know.
Let the platform investigate the governed information, connect the evidence, explain what appears to be happening and help you determine what should happen next.
Ask about the number.Ask why it changed.Ask what caused it.Ask what needs to be corrected.Ask what corrective action should be considered.Ask how to prevent recurrence.Ask what management should do next.
CRIS AI does the analytical heavy lifting so your team can spend more time making decisions and acting on the result.