Real AI, CX and automation use cases — filter by service, industry and platform.

Problem. High call volume for routine scheduling ties up patient-access agents and drives long queues.

Approach. Natural-language voice bot on Amazon Connect + Lex, integrated with EHR scheduling APIs and healthcare-grade auth.

Outcome. Self-service containment on scheduling calls with warm transfer to a human agent when clinical questions arise.

Problem. Billing, coverage and payment-plan questions require agents to navigate 4–6 systems.

Approach. Grounded copilot surfaces balance, plan eligibility and script-safe payment options in real time.

Outcome. Faster resolution and consistent, compliance-safe messaging.

Problem. Prior auth is a multi-step, payer-specific workflow that consumes clinical and admin time.

Approach. Multi-agent system: intake agent, payer-rules agent, submission agent, follow-up agent — human-in-the-loop on approvals.

Outcome. Autonomous submission and status tracking; humans review exceptions only.

Problem. Clinical, policy and coding content is spread across intranets, PDFs and legacy KBs.

Approach. Unified semantic search with PHI-aware access controls and evaluation guardrails.

Outcome. One search surface for clinical and operational teams.

Problem. Fax, PDF and portal-based records require manual classification and indexing into the EHR.

Approach. IDP pipeline classifies, extracts and indexes documents; exceptions routed to human review.

Outcome. Straight-through indexing on the common document types.

Problem. Denial rework is manual, repetitive and revenue-critical.

Approach. Denial classification, root-cause tagging and drafting of appeal packets with reviewer approval.

Outcome. Faster, higher-yield denial rework with clear reason coding.

Problem. RCM teams chase missing charges, coding gaps and denial risks across disconnected EHR, billing and payer systems.

Approach. IDP + rules + LLM triage prioritizes workqueues, drafts coding clarifications and flags denial risk before claim submission.

Outcome. Cleaner claims, faster cash conversion and fewer manual workqueue touches.

Problem. Self-pay and balance-after-insurance accounts are expensive to reach while staying compliant with patient-billing regulations.

Approach. Voice and SMS bot with healthcare-grade authentication, payment-plan offers and warm transfer on hardship signals.

Outcome. More payments and plans without adding FTEs, with full audit trail.

Problem. Patients navigate scheduling, billing, portal help and referrals through disconnected phone lines and portals.

Approach. One conversational front door grounded on EHR, RCM and knowledge content with seamless agent handoff.

Outcome. Single-contact resolution for common patient requests and fewer repeat calls.

Problem. Block utilization, cancellations and add-ons create idle capacity, delays and manual rebooking work.

Approach. Agentic scheduler proposes block releases, fill lists and predictive bump lists based on EHR and historical patterns for human approval.

Outcome. Higher utilization, fewer same-day cancellations and less manual scheduling overhead.

Problem. Patients call for appointments, referrals, prep instructions and portal help, overwhelming patient-access centers.

Approach. Kore.ai bot integrated with EHR scheduling and referral workflows handles booking, reminders and FAQs with HIPAA-aware guardrails.

Outcome. More appointments self-scheduled or modified in-channel with fewer live-agent touches.

Problem. Prior auth requires payer-specific forms, clinical documentation and status follow-up that slows care and reimbursement.

Approach. Kore.ai Agent Platform assembles submissions, checks payer rules, attaches required documentation and tracks status with human review on exceptions.

Outcome. Faster prior-auth submission and fewer denied or delayed authorizations due to missing information.