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We’re proud to share their success stories below.
THE CLIENT A leading global automotive manufacturer. BACKGROUND Thousands of times a day, dealerships are contacting manufacturers to diagnose and get authorization on performing warranty repairs. The current solution to this is very manual and labor intensive with dealerships initiating calls, providing diagnostic trouble codes, manufacturers reading through Technical Service Bulletins and Service Manuals and […]
This client’s new Pega solution now fully supports the application process to determine eligibility and financial aid, and automates the claim submission and payment process through the call center, fax and web portals.
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The client, a provider of diagnostic testing services, now has a streamlined process for handling test requests and test change requests, resulting in increased accuracy; shorter entry time and cost to market; shorter time and cost to market; and greater ease of use for team members.
Rulesware was able to deliver the solutions within the restraints of the aggressive schedule, including the integration with the customer’s authentication system, legacy customer data sources and quote and bind application. The solution included implementing internal processes to manage the changing and maintenance of business rules, and distributing these roles to the customer’s internal staff.
The purpose of this engagement is to develop a solution platform to automate various back office business processes for US and Canadian servicing organizations.
This engagement focused on building an insurance application that provides quotes for commercial policies. The customer’s network of independent brokers required a system that would be easy to use yet provide the functionality to incorporate large sets of data needed to produce accurate quotes for business policies.
Rulesware set out to create a system that efficiently functioned as the single source of intake for all lines of the client’s business, and the client acknowledged that we fully accomplished that objective.
Rulesware was tasked with implementing a sophisticated check imaging solution for the detection of fraudulent checks. By utilizing Optical Character Recognition together with a Business Rules Engine built with Pega, potential fraud items are now identified and delivered to investigators for follow up.
Rulesware created a single end-to-end process, reducing manual data entry and introducing SLAs and increased visibility to applications throughout the process.
Rulesware resources were responsible for providing technical thought leadership during construction and subsequent phases of this project, aiding in design strategies and building Pega knowledge within the client team.
How Rulesware’s Commitment to Communication and Enablement Renewed a Client’s Trust in Pega
Our client was manually completing much of their claims analysis and reporting, preventing them from being able to collaborate with dealers at the time of service, or to fully assess the nature of a claim before the service was complete. They needed a way to allow intervention in the Service Repair process in near real time during the course of a customer visit for repair. Their goal was to examine and evaluate repairs, looking for conditions that require the advice and/or oversight of their corporate resources to improve customer satisfaction and dealer collaboration.
Rulesware’s challenge was to create a simplified, streamlined process for implementing and documenting an insurance company’s new marketing and media campaigns that leverage their agency, customer service, and measurement systems.
A web based, Pega application was built to manage proposals and policies for multiple lines of business. Our client’s web-based application replaced the functionality of multiple legacy systems (both mainframe and J2EE) and manual processes used for Quoting, Underwriting, Workflow, Issuing and Binding of Insurance Policies with a single comprehensive solution.
Rulesware was tasked with consolidating various disparate systems that gathered, managed and reported on information specific to the investigation of suspicious activity. The new system was to allow for sharing, reporting and standardizing information at an enterprise level that would ultimately provide knowledge and visibility across all suspicious activities.