Voice and Conversational AI
Providers and Members Are Calling
About Different Things
The Challenge
Most provider calls are a database query with a person attached
A large share of payer call volume is providers asking questions the plan can answer definitively: has the claim been received, what is its status, why did it deny, is this member eligible, what is the authorization status. Those calls are repetitive, factual and expensive, and they exist because self-service either does not answer them or is not trusted to.
Two populations, one assistant
Provider volume that self-service already could handle
Explaining a benefit is close to stating coverage
Grievances that were never logged
Authentication placed in front of the conversation
Deflection into a portal that cannot answer
Service quality has a direct financial consequence
Start with providers. The economics and the risk both favour it.
How It Works
Screen for obligation before you establish intent
Step 1
Connect and disclose
Conversation opens on voice, chat, portal or messaging with clear disclosure that this is an automated assistant.
Step 2
Screen for obligation
Grievance, appeal, urgent clinical and distress language detected before intent, and routed or logged as the obligation requires.
Step 3
Identify the caller type
Provider or member established early, since the two follow different paths with different authority and verification.
Step 4
Verify proportionately
Identity confirmed to the standard the requested action requires, not to the standard the highest-risk action would require.
Step 5
Retrieve and answer
Step 6
Complete or route
The thing they called about is done, or the person already knows why they called.
Step 7
Log and close
Interaction, disposition and any obligation recorded in the systems of record, with follow-up initiated where required.
Grievance recognition is the payer equivalent of emergency detection.
On the provider side, an assistant must recognize a clinical emergency before anything else. Here, it must recognize when a member has expressed dissatisfaction that meets the definition of a grievance, or has said something that starts an appeal clock. Both obligations attach to what the caller said, not to what the assistant concluded the topic was. This screening runs first, on every conversation, and it is regression tested before any release.
Capabilities
Two products sharing a platform, not one assistant with two modes
Provider Conversations
Claim Status and Denial Explanation
Eligibility and Benefit Verification
Authorization Status and Requirements
Provider Data and Roster Enquiries
Member Conversations
Coverage Information Within Stated Limits
Claim and Explanation of Benefits Support
Grievance and Appeal Recognition
Enrollment, ID Cards and Account Servicing
Across Both
Proportionate Authentication
Context-Preserving Escalation
Agent Assist and Disposition
Knowledge Grounding and Completion Validation
Conversation Analytics
What CaliberFocus does, and does not do?
Where It Applies
Sequence by volume and consequence, in that order
| Conversation | Caller | Where to Start |
|---|---|---|
| Claim Status and Adjudication Detail | Provider | First. Highest volume, definitive answers, low consequence if corrected. |
| Eligibility and Benefit Verification | Provider | First. Same profile, and it prevents downstream claim problems. |
| Denial Reason and Next Action | Provider | Early. High value, since the alternative is a call plus an appeal. |
| Authorization Status and Requirements | Provider | Early. Removes a large share of utilization management enquiry volume. |
| Claim and Benefit Explanation | Member | Second wave. Information only, with anything requiring a determination routed. |
| ID Cards, Enrollment and Account Servicing | Member | Good early member candidate. Fully resolvable and low consequence. |
| Grievances, Appeals and Complaints | Member | Never automated. Recognized, captured correctly and routed immediately. |
| Clinical Questions and Urgent Need | Either | Never. Detect and route, consistent with our provider Voice page. |
A Large Share of Provider Calls Are a Symptom
Control
Some sentences change what the conversation Is
PHASE 0
Inform
PHASE 1
Retrieve
Handles exceptions and disputes
PHASE 2
Prepare
Reviews and completes
PHASE 3
Act within policy
Handles exceptions and failed actions
PHASE 4
Complete routine conversation
Information can be automated. Determination cannot.
Everything that determines whether a portal reduces effort happens in the integration layer. If scheduling rules are not exposed, booking cannot complete. If forms cannot write structured data, intake becomes digital data entry followed by manual data entry.
| Boundary | What the Assistant May Do | What It Must Never Do |
|---|---|---|
| Coverage | Convey plan documents, benefit summaries and published cost share as information. | State whether a specific service will be covered, which functions as a determination. |
| Clinical | Recognize clinical content and route immediately. | Assess symptoms, interpret results or advise on treatment. |
| Grievance | Recognize dissatisfaction, capture it correctly and start the process. | Attempt to resolve it, talk the member out of it, or fail to log it. |
| Appeal | Recognize the request, capture it and start the applicable clock. | Evaluate the merits or indicate a likely outcome. |
| Payment and Financial | Explain a processed claim and take permitted payments. | Commit the plan to a payment or a reprocessing outcome. |
| Provider Contract | Confirm published participation and directory information. | Interpret contract terms or rate methodology. |
Obligation language
Clinical, urgent or distressed
Explicit request
Boundary approach
Authentication failure is not conversation failure
A Transfer Answers Eight Questions, or It Is Just Routing
Integration
An assistant that cannot answer definitively is a slower menu
Core administration platform
Utilization management platform
CRM and service platform
Grievance and appeals system
Contact centre platform
Provider data
Real time or do not answer
Where the assistant cannot see current state, it should say so and route rather than answer from stale data.
Obligation capture is a write, not a note
A recognized grievance or appeal is created in the system of record during the conversation, with confirmation.
Read before write, workflow by workflow
Graceful degradation
Trust
Every conversation is a record and several are regulated events
Compliance obligations
- Grievance and appeal recognition accuracy measured on a test set built from real calls, and treated as a release gate
- Obligation captured in the system of record during the conversation, with the applicable clock started at the point of expression
- Required disclosures, appeal rights information and language access obligations built into the conversation design per line of business
- Retention aligned to the obligations of the interaction, and for any account-specific conversation the ability to reconstruct who interacted, how they were authenticated, what they asked, what was retrieved, what they were told, what action was taken, which source supported the answer, what permissions applied, whether it escalated and what happened next.
Authentication and access
- Verification proportionate to the requested action, decided as policy with security rather than inherited from a default configuration
- Provider, member, authorized representative and internal user authentication treated distinctly, each with its own entitlement scope, including what changes at an age threshold
- Minimum necessary in the conversation. The assistant confirms rather than recites sensitive detail
Disclosure and consent
- Clear disclosure that the caller is speaking to an automated assistant, meeting the jurisdictions requiring it
- Recording notice and consent designed against applicable state law, including two-party consent jurisdictions
- Outbound calling and texting governed by prior express consent requirements, with revocation honored immediately
- Language access designed to meet nondiscrimination obligations across the whole interaction, not only the greeting
Operational control
- A stop mechanism per intent: pause, step authority down through complete, act, prepare, retrieve and inform, or route everything to a person without disabling the rest of the deployment
- Monitoring of resolution and obligation detection rather than containment, since containment counts a caller who gave up
- A named owner for conversation design, distinct from the platform owner, accountable for boundary accuracy
- Approved knowledge sources with version control, so the plan can establish which benefit or policy content supported an answer at the time it was given
- Response testing against whether an answer is supported, current, appropriate for the authenticated user and within authority, not whether it sounds reasonable
- Conversation and system logs controlled, so they do not become uncontrolled repositories of sensitive information
Containment is the wrong metric here and the consequences are worse than on the provider side.
Outcomes
Resolution, obligation accuracy and the calls that should not exist
| Category | What We Measure | Why It Matters |
|---|---|---|
| Resolution | First contact resolution by intent and caller type, and repeat contact within seven days | The measure deflection is usually hiding. |
| Obligation Accuracy | Grievance and appeal detection accuracy, false negatives specifically, and time to system capture | The compliance measure, and the one with the worst failure mode. |
| Provider Service | Provider call volume by reason, questions answered definitively, and enquiry volume attributable to upstream causes | The largest addressable volume and the clearest cost case. |
| Root Cause Removal | Calls eliminated by fixing the upstream condition generating them | The only outcome that removes work permanently. |
| Member Experience | Satisfaction by intent, escalation rate, and experience measures feeding regulated scoring | Service quality here carries a financial consequence beyond cost. |
| Equity of Access | Resolution and abandonment by language and channel | Whether the improvement is distributed or concentrated. |
Two things are worth agreeing in advance.
Automate one high-volume conversation first
Start with the clinical workflow, not the ambient AI platform.
Bring us a specialty or clinical setting where clinicians are spending too much time creating notes. We will assess where ambient documentation fits, what must remain clinician controlled, how it should integrate with your EHR, and how to measure whether it is actually reducing burden.
- AI Agents and Workflow Automation
- Voice and Conversational AI
- Document AI and Intelligent Processing
- Generative AI and Enterprise Copilots
- AI Strategy and Governance
- HCC and Risk Adjustment Analytics
Security & Compliance
