Optimized AI Solutions to Drive Scalable Enterprise Efficiency and Collaboration
Successive Digital overcame the client’s AI scalability challenges by implementing a robust AWS-based generative AI solution, enabling advanced data processing, streamlined workflows, and improved user collaboration.
At a glance
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Successive Highlight
60% Faster Document Retrieval Leveraging RAG architecture, employees accessed operational documents 60% faster, boosting daily productivity and reducing manual effort.
25% Lower Operational Overheads Automated tax retrieval cut manual processes by 25%, lowering operational overhead and freeing teams for higher-value work.
Client & Business Challenges
Operating in global supply chain management and metal processing, the Fortune 500 client faced growing demands on its AI infrastructure. Existing solutions, hampered by functional constraints and model compatibility issues, struggled to keep pace with evolving enterprise needs. The limited environment prevented real-time data processing, leading to delays, higher costs, and suboptimal user experiences. Seeking a robust platform that could handle enterprise-grade security, performance, and scalability, the client partnered with Successive Digital to build a future-ready AI ecosystem. Their goal: optimize operational workflows, empower employees with faster data access, and maintain a competitive edge in a rapidly shifting market.
The Solution
Successive Digital began with an in-depth assessment of the client’s existing AI deployments, pinpointing areas where functional constraints and model incompatibilities hindered performance. The team then designed a future-ready environment using AWS’s serverless architecture, focusing on scalability, security, and optimized enterprise workflows. At the core of the solution was a retrieval-augmented generation (RAG) pipeline, leveraging vector embeddings for accurate and contextually relevant data responses. Additionally, multi-factor authentication (MFA) and SSO integration with Azure Entra ID ensured secure, unified access across diverse user groups. This holistic approach simplified AI-driven tasks, reduced manual intervention, and provided a robust infrastructure capable of handling complex queries and evolving data volumes.
- GenAI Environment
Successive Digital architected a generative AI foundation using Amazon Bedrock, integrated with Claude 3/3.5 models to enhance data processing speeds and accuracy. This setup included a serverless approach, leveraging AWS Lambda for orchestrating inference requests and multi-factor authentication to ensure secure user access, laying the groundwork for advanced enterprise workflows.
- Document Intelligence Bot
The Document Intelligence Bot accelerates manual searches in operational manuals by parsing PDFs, Excel files, and video transcriptions. Leveraging vector embeddings, it locates precise sections, offering timestamped links for video content. By automating repetitive inquiries, this solution frees personnel to focus on higher-level decision-making, significant operational improvements, and strategic growth.
- Real-Time Information Bot
The Real-Time Information Bot centralizes time-sensitive data retrieval, such as tax or compliance details, providing instant, accurate outputs. By integrating with internal systems through secure APIs, it significantly cuts manual searching and consolidates essential information. This approach helps teams make faster decisions and reduces overhead and complexity across multiple departments.
Results Accomplished
Advanced AI architecture bolstered operational efficiency, accelerated data access, and secured enterprise-grade scalability for the client.
Enhanced Scalability
Strengthened Security
Reduced Overhead
Accelerated Insights
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