Use Cases

Business Challenge: Employees struggle to find accurate information scattered across multiple systems, leading to productivity loss and inconsistent customer service.

Solution Built with AI Builder:

A comprehensive knowledge management system that:

• Connects to multiple document repositories (SharePoint, Confluence, etc.)
• Indexes and processes documents with advanced RAG techniques
• Provides a conversational interface for knowledge retrieval
• Offers context-aware answers based on user roles and permissions
• Maintains usage analytics to identify knowledge gaps

Implementation Highlights:

• Uses AI Knowledge for advanced RAG configuration
• Connects to enterprise systems via secure integrations
• Implements role-based access control for sensitive information
• Features a feedback loop for continuous improvement
• Includes document submission workflow for content updates

Business Impact:

• 65% reduction in time spent searching for information
• 40% decrease in repetitive questions to subject matter experts
• 25% improvement in customer service response accuracy
• Comprehensive knowledge preservation as employees transition

Business Challenge: Technical teams struggle with complex documentation that is difficult to navigate and often outdated, slowing development and implementation.

Solution Built with AI Builder:

A specialized technical documentation assistant that:

• Processes code repositories, API documentation, and technical guides
• Understands technical relationships between components
• Answers specific questions about implementation details
• Generates code examples based on documentation
• Identifies inconsistencies between code and documentation

Implementation Highlights:

• Uses custom embeddings optimized for technical content
• Implements syntax-aware chunking for code documentation
• Integrates with version control systems for up-to-date information
• Features specialized tools for code generation and validation
• Includes context-aware repository navigation

Business Impact:

• 50% faster onboarding for new developers
• 30% reduction in technical support tickets
• Improved code quality through consistent implementation
• Better alignment between documentation and actual code

Business Challenge: Ensuring compliance with complex and frequently changing policies is difficult, leading to inconsistent application and potential regulatory issues.

Solution Built with AI Builder:

A policy compliance assistant that:

• Maintains an up-to-date repository of policies and regulations
• Answers specific questions about compliance requirements
• Provides step-by-step guidance for compliance processes
• Alerts users to recent policy changes relevant to their role
• Helps interpret policy application in specific scenarios

Implementation Highlights:

• Implements fine-grained access control for sensitive policies
• Features automated policy update workflows
• Uses temporal awareness for policy versioning
• Includes citation tracking for regulatory references
• Provides department-specific compliance guidance

Business Impact:

• 45% reduction in policy interpretation errors
• 60% faster response to compliance queries
• Reduced compliance risk through consistent application
• More efficient regulatory audits with improved documentation

Business Challenge: Manual document processing is slow, error-prone, and expensive, creating operational bottlenecks.

Solution Built with AI Builder:

An automated document processing system that:

• Extracts information from various document types (invoices, contracts, forms)
• Classifies documents and routes them appropriately
• Validates extracted data against business rules
• Automates approval workflows based on content
• Integrates with downstream business systems

Implementation Highlights:

• Uses specialized document processing tools
• Implements multi-stage processing pipeline
• Features human-in-the-loop verification for exceptions
• Includes document history and audit trail
• Provides processing dashboards and analytics

Business Impact:

• 80% reduction in manual document handling
• 60% faster processing times
• 45% cost reduction in document operations
• Improved data accuracy and compliance
• Scalable processing capacity for peak periods

Business Challenge: Business processes spanning multiple systems require manual intervention and coordination, creating inefficiencies and inconsistencies.

Solution Built with AI Builder:

A centralized process automation hub that:

• Orchestrates workflows across multiple systems
• Intelligently routes tasks based on content and context
• Handles exceptions with AI-assisted decision support
• Monitors process performance and bottlenecks
• Provides self-service process initiation and tracking

Implementation Highlights:

• Implements event-driven architecture for process coordination
• Features integration with enterprise systems (ERP, CRM, etc.)
• Includes process monitoring and analytics
• Uses adaptive workflow routing based on operational conditions
• Provides process visibility dashboards

Business Impact:

• 55% reduction in process cycle time
• 40% fewer manual interventions
• Improved process consistency and quality
• Better visibility into operational bottlenecks
• Increased operational agility for process changes

Business Challenge: Supply chain complexity makes it difficult to optimize operations and respond to disruptions effectively.

Solution Built with AI Builder:

A supply chain intelligence platform that:

• Monitors supply chain data across internal and external systems
• Predicts potential disruptions and recommends mitigation strategies
• Optimizes inventory and logistics decisions
• Provides natural language interface for supply chain queries
• Automates routine supply chain communications

Implementation Highlights:

• Integrates with ERP, logistics, and supplier systems
• Implements real-time data processing pipeline
• Features predictive analytics for demand and disruption
• Includes multi-tier supply chain visibility
• Provides role-specific dashboards and alerts

Business Impact:

• 25% reduction in supply chain disruption impact
• 18% inventory cost reduction
• Improved on-time delivery performance
• Better decision-making during supply chain exceptions
• Enhanced supplier collaboration through automated communication

Business Challenge: Healthcare providers struggle to keep up with rapidly evolving medical literature and best practices while managing time-constrained patient encounters.

Solution Built with AI Builder:

A clinical decision support system that:

• Provides evidence-based recommendations for diagnosis and treatment
• Offers real-time access to relevant medical literature and guidelines
• Alerts providers to potential drug interactions or contraindications
• Suggests appropriate diagnostic tests based on patient presentation
• Identifies patterns in patient data that may indicate specific conditions

Implementation Highlights:

• Integrates with electronic health record systems
• Implements medical knowledge graph for clinical relationships
• Features HIPAA-compliant data handling
• Includes clinical validation workflow with explanation
• Provides citation tracking for medical recommendations

Business Impact:

• 22% improvement in diagnostic accuracy
• 35% reduction in unnecessary diagnostic tests
• More consistent application of clinical guidelines
• Reduced time spent researching medical literature
• Improved patient outcomes through evidence-based care

Business Challenge: Life sciences research generates massive amounts of data that is difficult to analyze and synthesize efficiently.

Solution Built with AI Builder:

A research acceleration platform that:

• Analyzes research papers and extracts key findings
• Identifies connections between disparate research areas
• Suggests potential research hypotheses based on existing literature
• Accelerates data analysis with automated pattern recognition
• Facilitates collaboration among research teams

Implementation Highlights:

• Uses specialized scientific embeddings for research content
• Implements entity extraction for scientific concepts
• Features graph-based knowledge representation
• Includes visualization tools for research relationships
• Provides secure collaboration spaces for research teams

Business Impact:

• 40% faster literature review process
• 25% increase in novel research hypotheses
• Improved cross-disciplinary collaboration
• Faster identification of promising research directions
• Better utilization of existing research data

Business Challenge: Patient adherence to treatment plans and preventive care recommendations remains low, impacting health outcomes and increasing costs.

Solution Built with AI Builder:

A patient engagement platform that:

• Provides personalized health education based on patient condition
• Offers medication and treatment reminders
• Answers patient questions about their conditions and treatments
• Monitors patient-reported outcomes and symptoms
• Escalates concerning symptoms to healthcare providers

Implementation Highlights:

• Integrates with patient portals and health records
• Implements multi-channel communication (messaging, email, voice)
• Features plain language processing for medical information
• Includes risk stratification for symptom reporting
• Provides analytics dashboard for population health management

Business Impact:

• 30% improvement in medication adherence
• 25% reduction in missed appointments
• Higher patient satisfaction with care experience
• Earlier intervention for worsening conditions
• Reduced healthcare costs through preventive engagement