A global enterprise services organization with 8,000+ employees across 25+ countries faced mounting challenges in employee training and knowledge access. Despite managing a large knowledge base, the company relied heavily on static documents, fragmented repositories, and manual support. The outdated processes made it difficult for employees to find accurate information quickly, extended onboarding cycles, and increased the burden on support teams.
The client needed a modern solution that could improve knowledge discoverability, support a multilingual workforce, and deliver contextual guidance in real time without disrupting existing systems.
Accion Labs engineered an AI-powered Knowledge Assistant to simplify access to enterprise knowledge and reduce support friction across departments:
- Conversational interface powered by OpenAI embeddings and LangChain for intent-driven answers
- Seamless integration with internal knowledge repositories through a centralized assistant
- Secure access using Azure Active Directory
- Multilingual support for a globally distributed workforce
- Scalable and cloud-native deployment on Microsoft Azure
- Embedded Power BI dashboards for real-time analytics and usage insights
- Planned expansion with LangGraph for multi-step task orchestration
Business Impact
- Nearly 60% improvement in operational efficiency
- Shorter onboarding cycles across regions
- Reduced support dependency through self-serve knowledge access
- Standardized information delivery for more consistent employee training
Download the full case study to learn how Accion Labs enabled intelligent workforce support and operational agility through an AI-driven solution.
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