Practical AI and workflow transformation.

AI-Assisted Claims Coding for Healthcare Reimbursement

We helped a healthcare client reduce reimbursement leakage by deploying an AI-assisted billing-code workflow for frontline caregivers.

Frontline caregivers often have only a few minutes between patient visits to complete administrative tasks that directly affect reimbursement. In many healthcare environments, those tasks include identifying and submitting treatment or billing codes from large databases or digital catalogs. Even when the broader process has been digitized, manual code selection can remain time-consuming, error-prone, and difficult to complete accurately under operational pressure.

Coding errors are a major contributor to claim denials across the healthcare industry. Our client saw meaningful working-capital impact from denied or delayed reimbursements and engaged Fei Business Advisory to help identify a practical path forward.

In under six months, our team designed and deployed an AI-assisted workflow that pre-selected billing codes based on treatment context, insurer requirements, and relevant patient information. The solution was designed around caregiver realities: fast interactions, mobile devices, and minimal administrative burden.

The result was a voice-forward workflow that helped caregivers select from a more relevant set of codes, reduce manual search time, and improve coding accuracy before claims were submitted.

LLM-Powered Contract Risk Review for Procurement

We helped procurement teams reduce legal review burden, accelerate vendor onboarding, and identify high-risk contract terms earlier in the process.

Third-party management programs require organizations to assess risk throughout the contract lifecycle. But for many procurement teams, contract review remains slow, expensive, and dependent on scarce legal resources. Standard agreements, amendments, and vendor-specific terms often require manual triage before teams can determine which contracts truly need attorney review.

Fei Business Advisory worked with a client to identify bottlenecks in the legal and procurement review process. By collaborating with procurement teams, legal stakeholders, category managers, suppliers, and product leaders, we identified opportunities to distinguish routine contract language from terms requiring escalation.

The resulting solution used a large language model workflow to review contract language, flag risky clauses, compare terms against approved templates and boilerplate, and help procurement teams route only higher-risk contracts to legal review.

This approach reduced manual review burden, improved consistency, and helped the organization accelerate vendor onboarding while maintaining appropriate oversight.

Clinical Workforce Optimization

We supported a large West Coast hospital system in reimagining workforce capacity to improve patient experience and help caregivers focus on higher-level responsibilities.

Staffing coordinators are responsible for caregiver and practitioner work schedules at hospitals. The accuracy of their work is crucial for smooth operations. However, many hospitals have several systems for creating schedules, adding complexity and friction to the staffing process. Lack of integration among these systems can require staffing coordinators to update multiple interfaces with pieces of the same information and manually check for cohesion and accuracy.

Fei Business Advisory supported a large West Coast hospital system in addressing these challenges. In partnership with staffing coordinators, frontline caregivers, and human resources professionals, we outlined a product and data strategy to reduce the complexity of staffing workflows by integrating data sources and using AI to help optimize timetables.