Payer work happens outside the system
Teams still leave the EHR or billing system to call payers, check portals, chase missing evidence, and copy updates back by hand.
AI agent software for healthcare revenue teams
AI agents for hospital revenue cycle operations
QuickIntell automates payer calls, prior authorizations, eligibility checks, claim status, denials, appeals, payment posting exceptions, AR follow-up, and patient communication with human approvals, audit trails, and EHR/PM writebacks.
- Payer calls
- Prior auth
- Claim status
- Denials
- Payment posting
- Patient outreach
- EHR/PM writebacks
Trusted AI agent platform
Independent trust signals for revenue-cycle teams evaluating AI agents
QuickIntell gives hospitals, providers, and RCM operators a software layer for high-volume workflows where automation needs auditability, approvals, and measurable outcomes.
Customers and operators
Used across provider, RCM, and healthcare operations teams
Selected organizations using QuickIntell across provider, RCM, and healthcare operations workflows.
Partner ecosystem
Infrastructure partners behind production AI workflows
Compliance posture
Compliance signals for PHI, payer workflows, and patient communication
The revenue-cycle problem
Revenue teams do not need another service vendor. They need software that does the work.
Hospitals and RCM operators already have teams, systems, and vendors. The missing layer is AI agents that can complete repetitive payer and patient work with the controls enterprise healthcare requires.
High-volume follow-up burns capacity
Prior authorizations, claim status, denial follow-up, payment exceptions, and patient outreach create repetitive work that scales linearly with volume.
Automation fails without controls
Hospitals need approvals, audit trails, writeback rules, and exception queues before AI can touch PHI, payer evidence, claims, or patient communication.
Partners need leverage, not replacement
RCM companies and MSOs need software that makes their operators more productive without threatening client relationships or service ownership.
Want to know which queue should move first?
Bring one payer workflow, denial problem, or patient-call queue. We will map where AI agents can work and where your team should keep approvals.
Software-first architecture
Platform, agents, orchestration, and optional service support
QuickIntell gives revenue-cycle teams an AI agent layer for payer, patient, documentation, and billing work. Human review is built in as governance, and managed RCM support stays optional for practices that want operators involved.
QuickIntell AI Agents
Deploy agents into payer calls, eligibility, prior authorization, claim status, denials, appeals, payment posting exceptions, patient outreach, document intake, and coding support.
RCM Orchestration Platform
Coordinate agents, staff queues, payer workflows, rules, approvals, audit logs, SLA tracking, dashboards, integrations, and writebacks in one operating layer.
Optional Managed RCM services
For practices that want operational support, QuickIntell can pair software with trained RCM specialists for exception-heavy workflows.
QuickIntell AI Agents
Deploy agents into the payer and patient work your team already owns
Start with one high-volume workflow, then expand across the revenue cycle. Each agent works inside your existing EHR, billing, clearinghouse, payer portal, voice, and document paths.
Prior authorization agent
Automates
Determines requirements, assembles evidence packets, submits requests, checks status, and routes exceptions.
Controls
Your team approves clinical evidence, appeal paths, and payer-specific edge cases.
Payer call agent
Automates
Calls payers for status, authorization, benefits, claim follow-up, and account-specific answers.
Controls
Call scripts, escalation rules, recordings, transcripts, and outcomes stay auditable.
Eligibility and benefits agent
Automates
Checks coverage, benefits, plan details, insurance discovery signals, and downstream claim-readiness gaps.
Controls
Coverage conflicts, estimate issues, and self-pay risk route to staff queues before the visit.
Coding support agent
Automates
Reviews documentation, CPT/HCPCS logic, ICD-10 support, MUE checks, modifiers, and charge capture gaps.
Controls
Coders validate specialty-specific, clinical-risk, and audit-sensitive recommendations.
Claim status agent
Automates
Checks claim state, payer responses, pending reasons, missing information, and next actions.
Controls
Billing teams approve corrected claims, escalations, and account-level exceptions.
Denial prevention agent
Automates
Applies payer rules, MUE checks, authorization signals, documentation gaps, and repeat-denial patterns before claims go out.
Controls
Revenue integrity teams tune prevention rules, override edits, and review high-risk accounts before submission.
Denial and appeal agent
Automates
Classifies CARC/RARC codes, builds appeal packets, drafts payer-specific appeal language, and tracks follow-up deadlines.
Controls
Appeals specialists review clinical denials, payer disputes, and write-off decisions.
AI scribe agent
Automates
Turns visits, calls, and clinical conversations into structured notes, summaries, tasks, and documentation handoffs.
Controls
Clinicians review, edit, and sign documentation before it becomes part of the record or downstream billing workflow.
Payment posting exception agent
Automates
Reads ERA/EOB data, identifies variances, flags underpayments, and prepares posting exception queues.
Controls
Finance teams decide underpayment appeals, refunds, write-offs, and account-specific exceptions.
Patient outreach agent
Automates
Handles reminders, balance calls, missing information outreach, scheduling support, and soft collections.
Controls
Sensitive, clinical, disputed, or high-risk conversations route back to your staff.
Document classification agent
Automates
Sorts payer letters, clinical documents, EOBs, faxes, appeal evidence, and inbound operational paperwork.
Controls
Unclear documents, PHI-sensitive issues, and low-confidence extraction results go to review.
See these agents against your actual workflow
Walk through prior auth, payer calls, denial prevention, scribe, or payment exceptions and see what can be automated first.
Low-friction deployment
0 customization fee. 0 implementation fee. Pay only when you start using the product.
QuickIntell is designed to remove the setup drag that slows down healthcare automation projects. Start with a standard AI agent module, configure controls around your workflow, and pay when the product is live for your team.
0
customization fee
Standard module launches do not start with a custom-build invoice before your team can see value.
0
implementation fee
QuickIntell maps the first workflow, configures approved controls, and connects the launch path without a setup fee.
Pay on use
when the product is live
Pay only when you start using the product, with scope tied to active modules and real workflow adoption.
Start with a module, not a services project
We will scope a first workflow, confirm required systems and controls, and show when your usage-based billing would begin.
Who it is for
Built for hospitals, RCM operators, and clinics that want software leverage
QuickIntell can sell directly to hospital revenue-cycle teams, support RCM companies as a partner platform, and give smaller clinics a practical path to automate without enterprise overhead.
Hospitals and health systems
Payer complexity, authorization volume, AR pressure, and patient communication create operational drag across departments.
Deploy agents inside existing EHR, PM, clearinghouse, and payer workflows without replacing your revenue-cycle team.
RCM companies and MSOs
Growth usually means more seats, more queues, more QA work, and thinner margins.
Scale client volume, automate repetitive payer work, standardize quality, and protect operator ownership.
Clinics and specialty groups
Small teams still need enterprise-grade automation for eligibility, auth, coding cleanup, status checks, and patient calls.
Bring your current EHR or launch with a QuickIntell-managed OpenEMR deployment when you need a lower-cost starting point.
Find the right deployment model
Use QuickIntell as hospital software, as an RCM partner platform, or as a clinic automation layer with optional managed support.
Operational proof
What changes when the work is connected
The promise is not more dashboards or a new outsourcing relationship. It is fewer avoidable touches, cleaner claims, faster follow-up, and more time for your team to work the cases that need judgment.
35%
denial reduction target
For teams that automate payer follow-up, claim quality, prior authorization, and denial prevention workflows.
12 days
A/R days reduction
Measured where eligibility, status, denials, posting, and AR queues are connected.
40%
productivity lift
Routine queue work shifts to AI agents while staff focus on exceptions and high-value account work.
2-3 weeks
typical module deployment
Core modules can start quickly, with larger health-system rollouts phased by workflow.
Approved anonymized case study
Orthopedic Practice Reduces No-Shows and Improves Surgical Case Capture
A 6-surgeon orthopedic practice reduced no-show rates from 17% to 9% and increased revenue by $420K annually through better scheduling and documentation.
Approved metrics are anonymized and remain baseline-dependent; final impact depends on scheduling workflow, payer mix, and implementation scope.
- No-show rate reduced
- 17% → 9%
- Imaging and surgical cases pre-cleared for insurance
- 90% before the visit
- Increase in documented comorbidities
- 25% leading to more accurate coding and revenue per case
Implementation
Deploy agents without replacing your EHR, billing system, or RCM team
QuickIntell is deployed around your current systems and review rules. The goal is controlled automation: approved writebacks, clear queues, clear owners, and clear audit trails.
01
Map the work
Identify payer workflows, EHR/PM systems, clearinghouse paths, denial categories, authorization rules, queues, owners, and SLAs.
02
Connect the systems
Connect existing EHR, practice management, clearinghouse, payer portals, document sources, voice channels, and reporting feeds.
03
Set approval rules
Define which work agents can complete, which updates require approval, and which exceptions route back to your team.
04
Write back and improve
Push approved updates into source systems while payer behavior, denial patterns, and AR outcomes feed dashboards and tuning.
Plan a deployment around your existing systems
Share your EHR, billing system, clearinghouse, payer portals, and review rules. We will outline the agent path that avoids rip-and-replace work.
Trust and governance
Healthcare-grade controls for AI operating on PHI
Revenue-cycle automation touches PHI, payer evidence, claims, payment, and patient outreach. QuickIntell is built for teams that need security review, auditability, approval rules, exception queues, and controlled writebacks.
- HIPAA-aligned operations with BAA available
- SOC 2 Type II audited controls
- In-tenant LLM inference; PHI is not used to train foundation models
- Role-based access controls and detailed audit logs
- Encryption in transit and at rest
- OIG LEIE and SAM.gov exclusion screening support
Playbooks
Revenue-cycle playbooks and benchmarks
Give your team practical references for the workflows most likely to create avoidable denials, delayed authorizations, and manual follow-up.
AI revenue cycle management
How AI agents reduce manual payer work across eligibility, auth, claim status, denials, posting, and AR.
Prior authorization automation
A practical guide to payer rules, document packets, status follow-up, and exception handling.
Denial management playbook
Use CARC/RARC intelligence, root-cause prevention, and appeal workflows to stop repeat denials.
See it on your workflows
See which revenue-cycle workflows AI agents can take off your team
Bring a payer mix, workflow, denial problem, or call-volume target. We will show which tasks can be automated, which updates can write back, and which exceptions should stay with your team.
Built for hospitals, RCM companies, MSOs, and clinics.