AI That Puts Capacity Back Into Care
How Lydonia’s AI solutions reduce prior authorization burden, accelerate claims and revenue cycle, and eliminate the administrative overhead that pulls healthcare teams away from patients and members.
Healthcare organizations are spending too much time and money on administration. The CAQH Index estimates a $20 billion savings opportunity in automating routine transactions alone. A 2025 AMA survey found clinicians completing approximately 39 prior authorizations per week and spending 13 hours on the process, with most reporting it fuels burnout. Billing and insurance-related activities consume up to 25% of hospital revenues.
The administrative burden is not an inevitable cost of delivering care. It is a structural inefficiency that grows with the complexity of payer-provider relationships, regulatory requirements, and clinical documentation standards. Organizations that manage it with manual workflows are accepting a cost structure that is both unsustainable and unnecessary.
Lydonia deploys orchestrated agentic solutions across the full healthcare administrative workflow. For providers, that runs from patient enrollment and prior authorization through claims submission, denial management, medical coding, and clinical documentation. For payers, it spans claims adjudication, utilization management, payment integrity, member service, and provider data, enabling healthcare organizations to reduce administrative cost, improve revenue capture, and return capacity to care.
Industry Impact Metrics
Industry benchmarks showing where AI creates measurable value
Of Healthcare Firms Now Deploy AI, Reporting Revenue Gains
NVIDIA Healthcare AI Survey, 2026
Savings Opportunity from Automating Routine Healthcare Transactions
CAQH Index, 2025
Reduction in Physician Documentation Time with AI
Menlo Ventures / CIO Survey, 2025
Healthcare Challenges
Providers and payers face different pressures but share the same root problems: fragmented data, manual handoffs, policy complexity, and exception-heavy workflows. AI solutions help address administrative burden, revenue cycle and claims operations, documentation, and capacity constraints.
Providers:
Prior Authorization Consuming Clinical Capacity
Teams collect documentation, determine payer requirements, submit requests, track status, and answer requests for more information. Manual coordination consumes staff time, limits clinical capacity, and delays care.
Claim Denials Creating Revenue Cycle Drag
Eligibility gaps, coding errors, and missing documentation create preventable denials. Although 70% of denied claims are eventually paid, it takes costly review cycles that consume staff time and delay revenue.
Documentation Gaps Driving Denials and Audit Risk
Incomplete registration data, inconsistent manual coding, and non-specific clinical documentation drive eligibility failures, denials, and audit risk. When records do not support the level of care billed, organizations face revenue loss and compliance exposure.
Payers:
Claims and Exception Volume Driving Up Operational Cost
Payers apply benefit rules, payment policies, edits, and exceptions across large claim and encounter volumes. Manual investigation slows adjudication and keeps operating costs high.
Manual Utilization Review Slowing Decisions
Coverage criteria, clinical documentation, determinations, and provider communication all have to move within required timelines, while high-impact decisions still need clinical review. Manual workflows make that hard to sustain at scale.
Interoperability Demands That Outgrow Manual Processes
Payers face growing pressure to exchange data through standardized APIs and give members and providers faster access to claims, encounter, and prior authorization information. Manual processes cannot keep pace.
Lydonia’s AI solutions directly address these challenges, improving turnaround times, accuracy, patient and member experience, and operational efficiency.
Case Studies
The following case studies reflect Lydonia client engagements where customer service automation was a core component of the AI program delivered.
Leading Global Golf Manufacturer Scales AI Across 300 Processes
A leading global manufacturer of golf products faced approaching retirements among core finance employees, numerous manual processes across operations, and high error rates in customer-facing workflows. Lydonia implemented AI programs across Finance, Supply Chain, HR, IT, and Customer Service that delivered measurable value within the first months, prompting the organization to expand from 8 automated processes to 300 within a single fiscal year.
$14.8M
In Cost Savings
$25.2M
Revenue Impact
$52M
In Cost Avoidance
9 Days
DSO Reduction
Leading Financial Services Company Automates 70% of Service Centers
Highly skilled employees were consumed by low-skill, time-consuming tasks including manual government plan correspondence requiring three outbound calls and paper exchanges, and daily manual management of office reservations across multiple sites. Lydonia automated 401(k) processing, eliminated manual outcalls and paper correspondence, and automated office access management. The program now operates across 70% of the total centers serviced by the company.
31,236
Hours Saved Annually
$1.2M
In Annual Savings
70%
Of Centers Automated
100%
Elimination of Manual Outcalls
Healthcare Organization Transforms Claims and Customer Interactions
This organization relied on manual claim entry taking 2 to 3 minutes per claim across 600,000 GI procedure claims annually, consuming up to 1.8 million minutes per year. Lydonia’s AI strategy revamped the charge-entry process and optimized claim submission and reimbursement workflows. The program now operates in 70% of the company’s serviced centers.
3,750
FTE Days Saved Per Year
2 to 1
Days Reduced: Charge Entry
70%
Of Centers Automated
Decreased
Overtime Payroll Expenses
Use Cases & Benefits
Twelve use cases, six for providers and six for payers, where AI solutions deliver measurable outcomes across the provider-payer relationship. Orchestrated agentic solutions reduce administrative work while keeping clinical and coverage decisions with qualified people.
Denied Claims Management
Agentic systems analyze denial reasons, determine appeal eligibility, retrieve supporting clinical documentation, and draft appeals automatically. Organizations report higher appeal success rates and faster denial resolution.
Patient Enrollment & Registration
Automated enrollment workflows verify insurance eligibility, validate patient demographics, confirm benefits coverage, and flag registration gaps before the patient arrives, reducing eligibility-related denials, among the most preventable denial categories.
Scheduling Optimization
AI agents optimize appointment scheduling against provider availability, patient acuity, and care protocols, reducing scheduling gaps, improving patient access, and matching patient needs to appropriate care settings, while no-show prediction and automated reminders reduce schedule leakage.
Medical Coding
AI-assisted coding analyzes clinical documentation and suggests appropriate ICD-10, CPT, and HCC codes with supporting documentation references, improving accuracy, lowering undercoding and overcoding risk, and raising coder productivity by handling straightforward cases and flagging complex ones for review.
Prior Authorization Processing
Agentic systems pull documentation from the EHR, match against payer-specific coverage criteria, assemble authorization packets, submit through the appropriate payer interface, track status, and manage follow-up, all without manual coordination on standard requests.
Clinical Documentation & Summarization
AI agents review clinical documentation for completeness and specificity before submission, flag gaps that could support denial or compliance risk, and generate documentation summaries for care coordination and payer communication, so clinical staff spend less time documenting and more on care delivery.
Claims Adjudication & Exception Handling
AI agents assemble claim context, apply configured rules, identify anomalies, prioritize exceptions, and prepare cases for human review, helping operations teams reduce manual touches while keeping adjudication logic governed and auditable.
Prior Authorization & Utilization Management
Agentic workflows collect clinical data, map documentation to defined plan policies, prepare determinations for review, request missing information, and track turnaround times. Adverse and complex decisions remain with qualified clinical reviewers.
Payment Integrity & Fraud, Waste, and Abuse
AI agents connect claims history, provider patterns, coding behavior, utilization signals, and payment rules to prioritize suspicious or inconsistent activity for investigation, before or after payment. Investigators make the final call.
Member Service & Benefits Navigation
Conversational AI agents answer routine questions about benefits, claim status, network, and prior authorization using governed plan information, and escalate to service teams when an issue requires judgment or sensitive handling.
Provider Data & Network Operations
AI agents identify missing or inconsistent provider data, coordinate outreach, and route credentialing and directory exceptions, keeping network information accurate across operational systems.
Interoperability & Data Exchange
Agentic workflows orchestrate the operational work around Patient Access, Provider Access, Payer-to-Payer, and Prior Authorization APIs, including data preparation, request handling, audit logging, exception routing, and member and provider communications.
Case Studies
The following case studies reflect Lydonia client engagements where AI solutions delivered measurable business outcomes in across healthcare.
Leading GI Healthcare Provider: 3,750 FTE Days Saved and Charge Entry from 2 Days to 1
A leading GI healthcare provider relied on manual charge entry for over 600,000 procedures annually, with each entry taking 2 to 3 minutes and the process consuming 1.8 million minutes of staff time per year. Delays in charge entry extended the gap between care delivery and billing, increasing denial risk and slowing reimbursement. Lydonia implemented AI-driven charge entry automation, compressing the charge entry lag from 2 days to 1 and eliminating the overtime costs that manual processing required during high-volume periods.
3,750
FTE Days Saved Per Year
Reduced
Claim Denials
2 to 1
Days Reduced: Charge Entry
Decreased
Overtime Payroll Costs
Specialty Pharmacy: 20,000 Hours Saved, $3M Annual Savings, 362% ROI in 3 Years
A specialty pharmacy faced repetitive data entry across multiple systems for prior authorization processing, with 25,000+ hours spent annually on manual tasks, human errors causing rework, and high FTE workload delaying patient care. Lydonia implemented AI-driven automation to streamline the prior authorization workflow end-to-end, reallocating 41 FTEs from manual processing to revenue-generating patient care activities and delivering a 362% ROI within 3 years.
20,000
Hours Saved Per Year
362%
ROI in 3 Years
$3M
Annual Cost Savings
41 FTEs
Reallocated to Patient Care
Why Lydonia
Healthcare organizations need AI solutions that improve efficiency while maintaining compliance, protecting sensitive data, and preserving accountability. Lydonia helps healthcare organizations turn AI into measurable business outcomes through a platform-agnostic, outcome-obsessed approach. We combine healthcare expertise, responsible AI design, and proven results to scale AI securely.
Healthcare Regulatory Expertise
We design AI solutions for HIPAA compliance, payer-specific documentation requirements, and clinical coding standards, with encrypted data handling, role-based access controls, and audit trails built to meet regulatory examination requirements.
Revenue Cycle Depth
We have automated the full revenue cycle, from eligibility and prior auth through coding, claims, denial management, and patient collections. We understand where revenue challenges exist and how to address them.
Human-in-the-Loop for Care and Coverage Decisions
Clinical and coverage decisions require human judgment at the right moments, so our deployments define which workflows AI agents run autonomously and which require clinical or qualified human review, preserving accountability where it matters.
Return Measured in Cost and Care
In healthcare, ROI shows up as both dollars saved and clinician time given back to patients, and we design every engagement to move both.
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