Project Attribute: AI
MUSA: Fingent’s AI-powered Virtual Assistant Helps Employees With HR & DevOps Queries
Challenges:
The HR team struggled with excessive routine tasks, limiting time for strategic activities, leading to frustration, inefficiency, and low morale.
Industry
IT
Solutions:
Developed a multi-utility smart assistant (MUSA), an AI-powered virtual assistant integrated with Fingent Hub
Results:
Quick responses to HR queries, automated routine tasks, reduced workloads, and enhanced support for remote employees.
Location:
US
About the Client
At Fingent, the PeopleOps (HR) team plays a pivotal role in fostering a people-centric, high-performance culture essential to the company's mission. As Fingent expands, the HR team has experienced rising demands from both new and long-serving employees.
To meet these challenges effectively, Fingent embraced innovation by leveraging AI to enhance HR service delivery, reduce workload pressures, and uphold high morale and operational efficiency.
Case Overview
Faced with the sudden shift to remote work, Fingent's HR team encountered challenges in delivering timely assistance to employees while managing increased responsibilities like monitoring health and wellness during the pandemic.
In response, Fingent developed Multi Utility Smart Assistant (MUSA), an AI-powered HR chatbot. MUSA effectively addresses common HR and IT inquiries, enhancing operational efficiency and employee support.
CHALLENGES
Roadblocks Faced in the Existing System
Time Management
Balancing urgent employee needs with routine tasks like leave inquiries.
Limited Resources
Handling a large employee base with a small HR team, reducing capacity for individual attention and support.
Strategic Focus
Difficulty prioritizing strategic initiatives like growth planning and employee engagement.
Communication Barriers
Overcoming challenges in virtual communication, affecting engagement, clarity, and morale.
Health and Wellness Monitoring
Ensuring employee well-being during a pandemic, including mental health support and emergency aid coordination.
SOLUTION
Fingent's Solution: MUSA, Fingent’s AI-powered Virtual Assistant
AI-Powered Virtual Assistant: Developed an HR chatbot named MUSA (Multi Utility Smart Assistant) using Artificial Intelligence.
Continuous Learning : MUSA undergoes rigorous training to expand its capabilities in handling various HR and IT-related inquiries.
Enhanced Employee Support: Provides instant responses to common queries regarding leaves, company policies, IT issues, reimbursements, and more.
Integration with Internal Systems: Integrated MUSA with Fingent Hub, the internal employee management system, to streamline access to HR and IT DevOps information.
Specialized Modules: Includes dedicated modules for PeopleOps and DevOps, ensuring comprehensive support for HR and IT issues respectively.
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SOLUTION BENEFITS
Making an Impact on Client Success
Fingent's AI-powered virtual assistant, MUSA, has revolutionized how the company's HR team supports its workforce, particularly amidst widespread remote work arrangements. By automating responses to common inquiries and streamlining HR processes, MUSA has significantly reduced response times and alleviated the team's workload.
MUSA enables instant responses to common HR queries, enhancing efficiency and reducing wait times for employees.
Automates routine tasks and FAQs, freeing HR team members to focus on strategic and complex issues.
Handles a large volume of inquiries efficiently without a proportional increase in HR staff.
Facilitates flawless support for employees working from home or remote locations, ensuring continuity in HR services.
Increased employee satisfaction by providing quick, reliable, and accessible HR support anytime, anywhere.
Improved Response Time
Reduction in Workload
Support for Remote Workforce
Scalability
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AI & ML Claims Management Solution for Cutting
Average Case Settlement time
Challenges:
Lengthy procedures, varying data formats, strenuous manual efforts, prone to human errors, and changing regulations.
Industry
Legal
Solutions:
Ambit, a light-touch workers' compensation solution that leverages AI and machine learning
Results:
50% decrease in average total claim costs, claim cycle time, associated personnel costs
Location:
US
About the Client
Sapra & Navarra, co-founded by Albert Navarra and Ambika Sapra, is a leading franchise legal firm in California specializing in Workers’ Compensation Law. They are dedicated to representing self-insured employers, carriers, third-party administrators, and captive employers.
In 2011, Sapra & Navarra developed a revolutionary litigation strategy called "Breaking The Habit," designed to streamline complex, expensive, and time-consuming claim processes. They envisioned augmenting their strategy with AI to optimize their process, improve services, and enhance client experience.
Case Overview
Sapra & Navarra developed a litigation strategy called "Breaking The Habit" to streamline claim processes and reduce case settlement times. Despite its potential, the strategy faced inefficiencies due to manual processes in document segregation, data retrieval, and analysis.
Recognizing these limitations, Sapra & Navarra identified an opportunity to automate repetitive legal tasks using AI technology. Fingent developed a custom-built AI machine learning software that solved litigation challenges and complexities.
CHALLENGES
Roadblocks Faced in the Existing System
Lengthy Settlement Time
Typical compensation claims took up to three years for case settlements.
High Costs
Average settlement costs were around $85,000 per case, impacting business owners and carriers.
Manual Data Processing
Manual processes in document segregation, data retrieval, and analysis reduced efficiency.
Large Volumes of Data
Workers’ compensation claims often contain hundreds of pages of unstructured content.
False Claims
Identifying false claims early could significantly reduce costs and effort but was challenging with existing methods.
SOLUTION
Fingent's Light-touch AI Solution
Ambit: A light-touch workers’ compensation solution integrated with AI, to streamline claim procedures.
Automation: Leveraging AI to automate repetitive and rote legal tasks such as e-discovery and document review.
Character Recognition and Computer Vision: Utilizing AI techniques for reading and understanding case files.
Document Identification: Automating the process of finding and identifying relevant documents.
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SOLUTION BENEFITS
Making an Impact on Client Success
Sapra & Navarra's partnership with Fingent has yielded transformative benefits for their innovative approach to workers’ compensation law. This partnership has not only optimized claim processing efficiency but also enhanced client satisfaction and operational effectiveness across the legal industry.
Reduced settlement time and costs
Decrease average total claim costs, claim cycle time, and associated personnel costs.
Minimizing errors by automating complex data analysis.
Easy and quick segregation of documents.
Settlement time
reduced to 1-2 days
Costs reduced
to $15,000
50% decrease in
average total claim costs
Reduced Human Errors
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Augmented Reality Powered Facial Recognition App
Challenges:
Ability to identify people and access their basic data with facial recognition
Industry
Education
Solutions:
A unique mixed reality application enabling quick identification of people through facial recognition
Results:
The application can enhance security checks and protocols with easy identification of people. Real-time access to databases and image comparison and recognition abilities make the app a groundbreaking innovation.
Locations:
US
About the Client
The client is a renowned university in the US, known for its innovative researches, teaching methods, and public services. As a part of their research, the organization wanted to explore on the opportunities of enhanced security and communications through facial recognition.
Fingent, being their global technology partner for years, collaborated to establish a solution with mixed reality. Fingent had previously assisted the university in developing projects involving upcoming technologies such as AR, VR, and AI.
Case Overview
The client sought a groundbreaking solution, and Fingent ensured they got it! Using Microsoft Hololens, Fingent developed a mixed reality, first-of-its-kind application that enables users to identify people using facial recognition.
The application can further link the facial recognition to the biodata of a person for more relevancy. The app will further have the capability to capture images and compute similarities between the captured images and compute similarities with images in secured database.
CHALLENGES
Roadblocks Faced in the Existing System
Lack of high recognition accuracy
Enhance security and privacy
Secure management of student/staff database
Inability to quickly scan biodata and student details
Complexities of leveraging new-age technology
SOLUTION
Fingent’s Approach - AR-powered Facial Recognition App
Fingent delivered a first‑of‑its‑kind mixed reality solution on Microsoft HoloLens, combining on‑device facial recognition with secure cloud‑based data retrieval to instantly overlay validated biodata in real-time, enabling:
3D bubble hologram to display biodata using UNITY 3D Engine
Uses Microsoft Face API to verify and identify the correct match
Capture a facial image and compare it with the existing database
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BENEFITS
Making an Impact on Client Success
The app streamlines identity checks and accelerates security workflows. The intuitive HoloLens interface and optimized edge‑cloud processing ensure rapid, reliable performance and seamless campus integration.
Instant on‑the‑spot identification
Real‑time biodata overlays
Enhanced privacy and security
Intuitive MR interface for quick adoption
Enhanced Security
Easy Scanning of Biodata
Improved Management of Databases
Quick Identification of People
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