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AI offers a welcome way to automate tasks involved in knowledge management
Impact of AI based knowledge management on business operations
63%
Improved query resolution
63%
Improved average handling time (AHT)
95%
Accuracy in automatized knowledge flow
62%
Drop in call transfer
Engagely AI simplifies knowledge management ecosystem
Centralization of knowledge management: key impact across business operations
Knowledge Collection
The knowledge across all the organizational and customer data pointers is collected to establish a singular source of information.
Knowledge Classification
A well-defined knowledge outline is built by classifying knowledge on the basis of process, rules, policies, and organizational structure.
Knowledge Centralization
The centralization of knowledge ensures seamless data storage, access and retrieval. It not only improves data transparency but also enhances operational efficiency.
Knowledge Structuring
Ensures smooth access to structured data according to categories, processes and access rules to all the relevant stakeholders with real-time precision.
Knowledge Sharing
The customer knowledge and historical data is extracted and optimally analyzed. With smart interlinking, personalized knowledge can be seamlessly shared. The key aspects of knowledge sharing involves:
- Decluttering knowledge for efficient customer support
- Leveraging customer knowledge for personalization
A robust, delightful and end-to-end CX optimization with AI automation
AI Automation Suite For Cognition-Based Knowledge Management
The comprehensive suite of voice-first AI automation products- chatbot, voice bot, and email bot, unlocks the potential of knowledge processing. 24/7 engagement across multiple channels enables these products to glean crucial data that is further organized systematically. Also, AI Automation employs a sophisticated layer of intelligence to knowledge management that optimizes knowledge storing and sharing with higher precision and efficiency.
Unified Communication Cloud
This converges various communication channels into a unified window console. The data from various sources are unified at a singular source in real-time. This simplifies knowledge gathering and processing with live accuracy to deliver connected experiences.
Engagely Analytics Cloud
This simplifies knowledge management with deep analysis. The data collected from various sources can be of huge help if used effectively. By analyzing the huge pool of structured and unstructured data, you can turn it into actionable insights. AI Data analysis breathes intelligence in the knowledge management system by enabling intuitive prediction of knowledge sharing, gathering and classifying.
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The client is a leading InsurTech platform to purchase life and general insurance products. The client focuses on introducing and delivering value-based, innovative, and competitive solutions for their customers....
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The first payments bank to go live with 410 branches and more than 25,000 banking points on day one....
