High overall accuracy rate
Thousands of monthly queries
High project leadership
Weeks from planning to launch
The challenge
Optimizing data access and enhancing efficiency
A Big Four accounting firm struggled with scattered, unstructured data access. Employees struggled to find essential files. Traditional methods, requiring manual training, contributed to operational inefficiencies. They wanted the system to guarantee almost complete accuracy for user trust. They also wanted it to integrate with their existing tools, supporting leave applications and reimbursements.
Key challenges
Scattered, unstructured data across systems
Time-consuming manual training processes
Inefficient handling of basic transactions
Need for high accuracy requirement
Delayed access to critical information
The solution
Introduced Cogentiq CX knowledge assist framework
Intelligent knowledge hub
Automated ingestion of market trend documents
ChatGPT-powered response generation
Multi-repository connectivity
Strategic crawler integration
Source citation automation
AI-powered processing
Automated response generation
Context-aware understanding
Cross-repository search capability
Streamlined training automation
Real-time knowledge access
Implementation approach
1
Discovery and design
Comprehensive project setup and planning
Data understanding
Solution requirements
2
Development and testing
Knowledge BOT customization
UAT and feedback collection
GenAI tech implementation
3
Enterprise rollout
Systematic change incorporation
Strategic solution refinement
Final deployment
The impact
Measurable enterprise-wide results delivering transformational value
Operational excellence
High
Accuracy achievement
Consistently exceeded accuracy target
Streamlined knowledge access
Automated responses
Query management
Improved
Monthly volume
Efficient query handling and resolution
Enhanced E-SAT scores
Improved compliance
Project efficiency
Client investment
End-to-end execution and management by us
Optimized delivery with a Gantt chart
Minimal client resources
