A leading enterprise in railway construction sought to leverage AI to enhance productivity in handling large volumes of documents. The goal was to streamline the process of analyzing tenders, preparing content, and estimating costs for billable work. By integrating multimodal AI capabilities—text, voice, and vision—we developed a smart document assistant that reduces manual effort, accelerates decision-making, and optimizes the tender response workflow.
The client operates in a high-documentation environment, where employees regularly deal with complex tenders, requirement documents, and project proposals. Manually analyzing and preparing responses was time-consuming, leading to inefficiencies and increased operational costs.
The traditional approach to document processing involved significant human effort in reading, extracting key details, and preparing structured responses. The client wanted an AI-powered platform to automate these tasks, reducing turnaround time and improving accuracy in tender submissions and document handling.
Employees spent excessive time manually reviewing lengthy tender documents, contracts, and requirements, leading to bottlenecks in project bidding and response preparation.
Identifying key details from unstructured text required extensive manual effort, increasing the risk of errors and missed opportunities.
Generating billables from tender documentation was a slow and error-prone process, requiring extensive calculations and manual cross-referencing.
The enterprise relied on multiple systems for document processing, collaboration, and cost estimation. The new solution needed to seamlessly integrate with these tools.
We designed a multimodal AI-powered platform that assists employees with document analysis, content preparation, and data integration into existing enterprise tools. The AI assistant leverages text, voice, and vision capabilities to automate tedious tasks and improve efficiency.
Implemented NLP and OCR to extract relevant information from tenders, contracts, and requirement documents. Designed an AI model to summarize key points and generate structured reports. Enabled voice and text-based interaction for intuitive AI-driven content generation. Automated response drafting for tender submissions, ensuring consistency and accuracy. Developed an AI-powered estimation engine to extract cost-related data from tender documents. Reduced the manual effort required in calculating project costs and preparing quotations. Ensured smooth data sharing with document management systems, project planning tools, and financial applications. Enabled one-click export of AI-generated reports to the required platforms. Identified key pain points in the document processing workflow. Defined core functionalities for AI-based automation. Trained NLP models to extract key information from unstructured text. Developed OCR-based vision capabilities to process scanned documents. Built an intuitive interface supporting text, voice, and vision-based interactions. Integrated the AI system with existing enterprise software for seamless workflow adoption. Conducted training sessions for employees to maximize AI adoption. Fine-tuned AI models based on user feedback to enhance accuracy. Developed and fine-tuned AI models for text, vision, and voice-based interactions. Established document analysis workflows for tenders and requirement documents. Created an interactive platform for AI-powered document analysis. Conducted user testing to refine AI recommendations and responses. Ensured smooth integration with document management and finance tools. Optimized workflows for seamless data transfer and reporting. Launched the platform for enterprise-wide adoption. Monitored AI performance and incorporated user feedback for ongoing enhancements. 40% Reduction in Document Processing Time: AI automation significantly cut down the time spent on analyzing tenders and preparing responses. Enhanced Accuracy in Billables Generation: AI-driven cost estimation improved precision and minimized calculation errors. Seamless Workflow Adoption: Employees quickly adapted to the AI platform, improving productivity across departments. Reduced Workload: Employees were freed from repetitive document analysis tasks, allowing them to focus on high-value work. Improved Decision-Making: AI-driven insights helped enterprises respond faster and more strategically to tenders. Scalability for Future Needs: The modular AI architecture allows for additional functionalities, such as compliance verification and contract risk analysis.
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