From Document-Heavy Workflows to Enterprise-Scale AI Platform
How a global engineering firm reduces Document-Handling Time by 40% with an Enterprise-Scale AI Platform?
Client Overview
A global engineering and infrastructure organization with more than 90,000 employees operating across geographically distributed teams and business units. As these repositories grew across business units and geographies, employees spent significant time locating, reviewing, validating, and summarizing the information required for project-critical activities.
Beyond document search, they wanted to implement a secure and enterprise-scale AI foundation that could make technical knowledge easier to access, automate document-intensive workflows, and support the consistent rollout of new AI use cases while meeting stringent security, governance, privacy, and regulatory requirements.
The Core Challenges
Document-intensive workflows
Teams manually searched and reviewed large technical repositories to extract relevant project information.
Time-consuming compliance validation
Employees had to identify applicable requirements and compare them against project documentation.
Fragmented proposal and reporting processes
RFP responses and project reports required information to be assembled from multiple sources.
Limited access to institutional knowledge
Relevant information from previous projects and approved enterprise content was difficult to discover.
Inconsistent AI adoption
Different business units had varying operational needs, data environments, and levels of AI readiness.
Strict security requirements
Any AI solution had to meet client’s identity, access-control, privacy, governance, and compliance standards.
The Enterprise AI Solution
A Secure and Reusable AI Foundation
iLink Digital designed and implemented an enterprise AI-enabled platform that combined intelligent document processing, retrieval-augmented generation, workflow automation, Microsoft 365 integration, centralized governance, and Azure-native security. Rather than creating individual AI applications for separate teams, the solution established shared enterprise capabilities that could support multiple use cases and business units.
Intelligent Document Processing
The platform automated the extraction, review, classification, and summarization of technical information, reducing the effort required to navigate lengthy and complex documents.
Enterprise Knowledge Retrieval
We leveraged a retrieval-augmented generation (RAG) architecture powered by Azure AI Search to retrieve relevant enterprise knowledge before generating context-aware responses. Employees could interact with the system using natural-language queries to quickly access technical standards, project documentation, historical records, approved proposal content, and compliance requirements. It also enabled users to summarize lengthy technical reports and uncover insights from previous engagements, significantly reducing the time spent searching for critical business information.
AI-Assisted Compliance Validation
The solution helped teams locate applicable requirements, compare them against project documentation, identify missing information, and surface supporting evidence for specialist review.
Human oversight remained part of the process, ensuring that AI supported rather than replaced engineering and compliance judgment.
Proposal and Project-Reporting Automation
The platform helped proposal and project teams retrieve reusable information, summarize source material, prepare initial content, and structure reports more efficiently.
Microsoft 365 Integration
AI capabilities were connected with SharePoint and Microsoft Teams, allowing employees to access enterprise knowledge within the collaboration environments they already used.
Azure AI Foundry
Azure AI Search
Azure Container Apps
Business Impact
40% Reduction in document-handling time
Intelligent processing, contextual retrieval, and automated summarization enabled employees to move more quickly from information discovery to project execution.
35% Improvement in compliance and reporting efficiency
AI-assisted workflows reduced repetitive review, validation, information consolidation, and reporting effort.
15+ Business units enabled through a common AI foundation
A centralized architecture and governance model supported different operational requirements while maintaining consistent enterprise standards.
90,000+ Employees supported by a scalable adoption model
The platform created a foundation for expanding governed AI capabilities across client’ globally distributed workforce.
document-handling time
and reporting efficiency
a common AI foundation
scalable adoption model
Additional Business Impact
- Faster access to enterprise and project knowledge
- Improved employee productivity and experience
- More consistent compliance and reporting processes
- Stronger security and data-governance controls
- Improved decision-making through AI-surfaced insights
- Faster deployment of additional enterprise AI use cases
- Seamless access through established Microsoft 365 workflows
Why iLink Digital
iLink Digital brought together enterprise AI architecture, intelligent document processing, Azure engineering, security, governance, application development, and organizational adoption expertise. The engagement established more than an individual AI assistant. It created the shared knowledge, runtime, security, and governance foundation required to scale AI responsibly across a complex global enterprise.
Turn Enterprise Knowledge into Actionable Intelligence
Build a secure and governed AI platform that accelerates document-intensive workflows, improves access to organizational knowledge, and scales across business units.
