Case Studies

Overview

A multinational insurance company managing over $500 million in annual legal spend across multiple jurisdictions. The company faced significant inefficiencies in bill review, including high costs associated with manual processes, inconsistencies in compliances, and prolonged invoice approval cycles.

Challenges

1. High Operational Costs
2. Inconsistent Compliance – Manual reviewers often overlooked billing guideline violations, leading to unnecessary legal expenses.
3. Slow Turnaround Time – The bill review process took an average of 14 days, delaying payments and impacting vendor relationships.
4. Scalability Issues – With increasing legal spend, the company needed a solution that could scale without exponentially increasing costs.

QuarkAI Implementation

The company adopted QuarkAI, an advanced AI/ML-driven bill review engine built on a B.E.R.T-based natural language processing framework. QuarkAI was trained on a statistically significant sample of the company’s historical billing data to refine accuracy and align with its billing guidelines.

QuarkAI began analysing invoices in real time, flagging violations and suggesting adjustments. QuarkAI was integrated with the client’s existing enterprise legal management (ELM) software, allowing for seamless invoice approvals. Over time, QuarkAI continuously improved its accuracy through feedback loops from human reviewers.

Key Results

• Invoice rejection rates dropped significantly, allowing payments to be processed faster.

• Billing disputes became rare, improving client trust and satisfaction.

• The finance team saved hours of manual review time and focused on more strategic tasks.