About project
Working time:
10 weeks
Industry:
Health Tech
The service:
Generative AI
Overview
CASSEN Testing Laboratories, our client in the chemical analysis sector, struggled with manual data processing bottlenecks that limited timely report delivery. For any testing laboratory, delayed analysis impacts regulatory compliance, legal proceedings, and client operations across multiple industries. Our AI-powered solution reduced their report generation time by 80%, tripled chemical marker analysis capacity, and enabled B2C market expansion – positioning them for sustained growth while maintaining their commitment to accuracy.
The Challenge
Our client’s reliance on manual lab data processing created significant workflow bottlenecks. Their team spent excessive time processing raw data and generating reports, while facing increasing demand from the end customers. The manual nature of their process limited their capacity to analyze higher number of chemical markers and restricted the ability to scale.
Inefficient Workflow & Time-Consuming Processes
Manual lab data processing created bottlenecks, with excessive time spent on raw data analysis and report generation.
Limited Analysis Capacity & Scalability
The manual approach restricted chemical marker analysis to 50 markers and prevented operational scaling to meet complexity demands.
Limited Expansion Ability
Expanding into the B2C channel was blocked by the limited capacity to serve a growing customer base.
Growth Constraints
Manual report generation hindered market expansion and revenue growth.
Technology & Approach
We developed an AI-driven solution using Bedrock GenAI to streamline lab data processing. Leveraging OpenSearch, we implemented a RAG (Retrieval-Augmented Generation) architecture for intelligent incident analysis and chemical marker correlation.
Implementation
To ensure a smooth transition, Dedicatted rolled out the solution in phases, minimizing disruptions to existing workflows.
- Phase 1: We started by implementing automated report generation, reducing manual effort and improving data consistency.
- Phase 2: The RAG-based analysis system was integrated, enabling deeper insights and intelligent correlation of chemical markers with potential causes.
- Phase 3: Continuous monitoring and optimization were introduced to refine accuracy and efficiency.
Customization & Client Adaptation
To ensure seamless integration into CASSEN’s existing processes, we customized the solution to match the specific workflow requirements and industry standards.
Precision in Chemical Marker Analysis
The system was fine-tuned to accurately process and analyze chemical markers, aligning with CASSEN’s forensic and environmental investigation needs.
Compliance & Regulatory Alignment
AI-generated reports are structured to comply with industry regulations, ensuring data accuracy, security, and adherence to established protocols.
Leveraging Historical Data for Better Insights
Integrating CASSEN’s historical data into the system, allowed for pattern recognition, predictive analysis, and better incident correlation over time.
Operational Efficiency & Scalability
The solution was designed to streamline workflows, reduce manual effort, and enhance efficiency while remaining scalable to support future growth and new data sources.
The Outcome
The solution accelerated report generation from days to hours (7x faster), tripled analysis capacity (50 to 150+ markers), and cut human error by 3x (10% to 3%). Automation enables continuous data processing, reducing manual effort and speeding up client deliverables.
Long-Term Value
Scalable infrastructure supports future growth, including the B2C market expansion.
Faster service delivery and broader analysis capabilities.
Continuous improvement enabled via MLOps best practices and automated feedback loop.
Easily adaptable to integrate new chemical markers and analysis parameters.
Lower operational costs with automated processing and reporting.
Business Impact: Smarter, Faster and more Scalable
- Freed up skilled lab staff to focus on complex analysis and client consulting rather than manual data processing.
- Enabled simultaneous handling of multiple client requests, eliminating bottlenecks.
- Enhanced report quality with deeper insights and more comprehensive chemical marker correlations.
- Improved customer satisfaction through faster turnaround times and detailed analytical insights.
- Expanded service capacity, allowing for new client onboarding without compromising quality.
