Coresystems' InsightLoop helps organizations mine information and gain knowledge faster using generative artificial intelligence.For Rolls-Royce Power Systems, technicians had struggled to access data across multiple systems, wasting valuable time.Using Amazon Bedrock, Coresystems can keep data secure while delivering the power of the latest large language models.
Use case type
Knowledge management
Organizes, searches, and retrieves internal information and expertise for reuse. It helps employees find relevant answers faster and reduces duplication of work.
Use cases
20
Examples
20
Industries
11
Timeline
14 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
19 cases documented across 37 months (Jul 23 – Jul 26), peaking at 4 in May 2026.
1 earlier case before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
10 shown from 20 use cases
Lumeris built a generative AI chatbot called Ask P&C to answer employee HR questions about benefits, time off, paid holidays, insurance plans, and other HR policies.The chatbot uses a RAG architecture with Amazon Kendra indexing P&C documents for retrieval and Amazon Bedrock with Claude 3.5 Sonnet for response generation.Lumeris began a proof of concept in January 2024, tested it with the P&C team, and rolled it out to employees in March 2024.
KONE, a global elevator and escalator company, built a generative AI assistant on AWS to help field technicians troubleshoot issues faster using confidential documentation, maintenance reports, and IoT data.Technicians access the assistant through a mobile app called Technician Assistant as a first step before escalating to technical help desks.The solution emphasizes security, privacy, least-privilege access, data minimization, and encryption with AWS Key Management Service.
GCPMay 23, 2026
180 Seguros – Conversational generative AI knowledge base for insurance product professionals (Vertex AI Search)
180 Seguros is a São Paulo-based insurtech company that provides an end-to-end infrastructure for businesses to sell insurance policies across Brazil.The company migrated its analytics environment to Google BigQuery to improve data organization, make operational metrics more frequently updated, and reduce manual effort for data environment maintenance.It also developed an experimental conversational knowledge base for product professionals and developer teams in partner companies, integrating the solution into its own APIs and using Google Cloud generative AI resources including Vertex AI Search.
May 13, 2026
Fractal Analytics reduces call handling time by up to 15% with Amazon Bedrock knowledge assist
Fractal Analytics built Knowledge Assist as a unified knowledge base for enterprise knowledge workers and contact center agents.The solution is designed to speed up retrieval across large, unstructured internal document sets while improving accuracy and reducing compliance risk from outdated information.
Apr 29, 2026
Agroseguro uses Amazon Bedrock to accelerate understanding of insurance and legal documents
Agroseguro, the Spanish agricultural insurance association, is improving its operations by applying AWS generative AI and cloud modernization to insurance workflows.The company is using Amazon Bedrock to explore how natural language processing can help employees understand technical and legal documents such as terms and conditions and assessment rules more quickly.
Tapestry, a global luxury fashion retailer behind brands like Coach and Kate Spade, faced challenges with siloed organizational knowledge making it difficult for employees to access critical information.The company built an enterprise-wide generative AI-powered knowledge management chatbot on AWS using Amazon Bedrock and Amazon Titan foundation models (Claude 3 Haiku LLM) to allow employees to query company data through a single interface.The chatbot reduces search times, lowers the workload on subject matter experts, and is currently used by multiple teams with plans to enhance voice interaction capabilities.
Apr 29, 2026
Vivix Vidros Planos Transforms Glass Manufacturing with Mendix Low-code and Amazon Bedrock
Vivix Vidros Planos, a Brazilian glass manufacturer, was challenged by slow, manual production tracking and complaint resolution processes and the need to accelerate technician training.In collaboration with AWS partner Mendix, Vivix built Virtual Engineer, a generative AI chatbot powered by Amazon Bedrock foundation models including Claude-2, integrated with Mendix Glass DNA application.The Virtual Engineer supports production data insights, defect analysis, real-time complaint support, and knowledge sharing using RAG with IT/OT data integration.The solution led to an 80% reduction in complaint resolution time, 85% faster response to production issues, accelerated technician training from years to months, and improved operational efficiency.
New Relic built New Relic NOVA, an enterprise AI assistant, to help engineers and employees find answers across fragmented internal documentation and systems.The solution uses Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Kendra, Amazon Q Index, Amazon S3, Amazon Nova Lite, Amazon Nova Pro, Strands Agents SDK, and MCP to support knowledge retrieval and transactional workflows.It integrates with Confluence, GitHub, Salesforce, Jira, Slack, and internal systems, and includes PII detection, masking, and an LLM-as-a-judge evaluation framework.
MicrosoftSep 25, 2025
Kraft Heinz pilots AI agent to streamline ketchup production
Kraft Heinz is piloting an AI agent called The Cookbook to help workers access the company's ketchup production expertise.The tool provides access to 150 years of knowledge and helps employees ask questions about production details and process efficiency.The company plans to expand the approach to other brands, products, and businesses.
Common questions
Knowledge management at a glance
- How many knowledge management use cases are documented?
- The AI Use Case Hub documents 20 real knowledge management deployments across 11 industries, with 20 detailed company examples you can browse.
- Which industries adopt knowledge management the most?
- Knowledge management is most common in Manufacturing (20%), Professional Services (15%) and Insurance (15%).
- Which countries lead in knowledge management?
- United States leads documented knowledge management deployments, followed by United Kingdom and Brazil.
- What technologies are used for knowledge management?
- Teams most often build knowledge management with Amazon Bedrock, Amazon S3 and Amazon ECS.
- What AI capabilities power knowledge management?
- Across the documented deployments, the most common capability patterns are RAG (45%), Agent (30%) and Copilot (10%).
- What results do companies report from knowledge management?
- Across the 20 deployments reporting outcomes, companies most often cite speed & agility (75%), new product / capability (45%) and scale & capacity (45%). Where impact is quantified, the strongest evidence is in time & speed: a median −55% across 4 reported metrics.