Skudot

Case studies

Case Studies

Representative enterprise engagements across knowledge platforms, automation, and commerce operations.

Industrial / Manufacturing

Disconnected Manuals, SOPs, and Ticketing Systems

Engineering and field teams lost significant time searching across disconnected manuals, SOPs, and ticketing systems to resolve operational issues.

Approach

  • Built a RAG-based enterprise search platform across manuals, SOPs, and historical tickets
  • Implemented hybrid retrieval with re-ranking for high-accuracy answers
  • Integrated with existing enterprise systems via API

Outcome

  • Significant reduction in time spent searching for operational knowledge
  • Faster issue resolution for field engineering teams
RAGVector DatabaseEnterprise IntegrationCloud-native deployment
Financial Services

Manual Reconciliation and Document Review Bottlenecks

Manual reconciliation and document review processes created bottlenecks and compliance risk in financial operations.

Approach

  • Designed a multi-agent workflow for document intelligence and reconciliation
  • Built human-in-the-loop checkpoints for compliance-sensitive steps
  • Deployed on a secure, governed cloud-native AI architecture

Outcome

  • Reduced manual processing time
  • Improved auditability and traceability of automated decisions
LangGraphAmazon BedrockAzure OpenAIAgentic workflow orchestration
Knowledge Platform / Enterprise AI

Enterprise Knowledge Graph & GraphRAG Platform

Critical enterprise knowledge was spread across documents, systems, and teams, making it difficult to trace relationships, validate context, and answer complex questions with confidence.

Approach

  • Built a knowledge graph layer to model entities, relationships, and source provenance across enterprise content
  • Combined graph traversal with vector retrieval and re-ranking for grounded, context-aware answers
  • Enriched the platform with metadata pipelines, governance controls, and enterprise search integration

Outcome

  • Improved traceability for complex knowledge queries across distributed sources
  • Reduced manual effort required to connect related documents, systems, and business entities
  • Created a scalable foundation for more accurate GraphRAG-powered experiences
GraphRAGKnowledge GraphEnterprise SearchRetrieval Augmented Generation
Retail / Commerce

Skudot AI Operating System for Retail Commerce

Retail teams were operating across disconnected commerce, inventory, and support workflows, which slowed decisions and made it difficult to maintain a consistent customer and operational context.

Approach

  • Designed an AI operating layer that unified product, inventory, order, and support context across retail systems
  • Implemented workflow agents for merchandising, operational follow-up, and customer-facing assistance
  • Connected ERP and commerce data into a single orchestration layer for faster decision-making

Outcome

  • Created a unified operational view for retail teams across store, support, and commerce workflows
  • Reduced context switching and manual coordination across core retail systems
  • Established a scalable AI operating model for retail commerce execution
Unified CommerceAgentic AIERP IntegrationRetail Automation
Contact Center

High Ticket Volume and Inconsistent Response Quality

High ticket volumes and inconsistent response quality were increasing average handling time and customer dissatisfaction.

Approach

  • Implemented an AI contact center agent grounded on internal knowledge via RAG
  • Built CRM-integrated automation for ticket triage and routing
  • Added agent memory for context continuity across interactions

Outcome

  • Reduced average handling time
  • Improved consistency of customer responses
Multi-agent orchestrationCRM integrationEnterprise knowledge base

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