Healthcare Provider - NowAssist & GenAI Deployment

Client Overview

A major healthcare network serving 2.5 million patients across 40 hospitals and 200+ clinics, with 15,000 employees requiring comprehensive IT and HR support services. The organization operates critical patient care systems requiring 24/7 availability and rapid issue resolution.

The Challenge

The healthcare provider faced critical service delivery challenges impacting both clinical and administrative operations:

• Manual Case Handling: Service desk agents spent 40% of time on repetitive documentation and case summarization
• Knowledge Gaps: Inconsistent case resolutions due to fragmented knowledge across teams
• Agent Burnout: High workload and complexity leading to 35% annual turnover
• Slow Resolution Times: Average case handling time of 45 minutes impacting employee productivity
• Limited Self-Service: Only 20% self-service success rate, overwhelming service desk
• Compliance Risks: Manual processes created documentation gaps for regulatory audits

Our Approach

Phase 1: Discovery & Design (3 weeks)

• Conducted comprehensive service desk workflow analysis
• Identified high-volume, repetitive use cases for AI automation
• Assessed existing knowledge base quality and coverage
• Designed NowAssist implementation roadmap with prioritized use cases
• Established governance framework for AI-generated content

Phase 2: NowAssist Foundation (6 weeks)

• Deployed NowAssist for IT Service Management and HR Service Delivery
• Configured case summarization for all service desk queues
• Implemented AI-powered knowledge article generation
• Set up intelligent case categorization and routing
• Integrated with existing ITSM and HRSD workflows

Phase 3: Virtual Agent Enhancement (8 weeks)

• Enhanced virtual agent with generative AI capabilities
• Trained conversational AI on healthcare-specific terminology
• Implemented intelligent escalation workflows
• Created specialty virtual agents for IT, HR, and Facilities
• Deployed proactive chat for high-priority issues

Phase 4: Knowledge AI & Optimization (4 weeks)

• Deployed AI-powered knowledge search and recommendations
• Implemented automated knowledge article updates from case resolutions
• Created continuous learning feedback loops
• Optimized AI models based on performance data
• Conducted comprehensive agent training program

Solution Delivered

We implemented a comprehensive NowAssist and GenAI solution including:

NowAssist Capabilities Deployed

• Case Summarization: Automatic generation of concise case summaries for faster handoffs
• Knowledge Generation: AI-powered creation of knowledge articles from successful resolutions
• Intelligent Search: Natural language knowledge search with context-aware results
• Text Suggestions: AI-assisted response drafting for common scenarios
• Code Generation: Automated script creation for routine IT tasks

Virtual Agent Features

• Conversational AI: Natural dialogue understanding with healthcare context
• Multi-Channel Support: Consistent experience across web, mobile, and Teams
• Proactive Engagement: Predictive issue detection and outreach
• Smart Escalation: Intelligent routing to appropriate specialists
• Personalization: Role-based responses for clinical vs. administrative users

Knowledge AI

• Auto-Tagging: Intelligent article categorization and metadata
• Content Recommendations: Contextual knowledge suggestions during case work
• Gap Analysis: Identification of knowledge gaps from search patterns
• Quality Scoring: AI assessment of article usefulness and accuracy

Results Achieved

Agent Productivity & Efficiency

• 70% increase in agent productivity through automated documentation
• 50% reduction in average case handling time (from 45 to 22 minutes)
• 80% faster case summarization with AI-generated summaries
• 65% reduction in time spent searching for knowledge
• 40% decrease in case escalations through better first-contact resolution

User Experience & Satisfaction

• 4.9/5 average user satisfaction score (up from 3.2/5)
• 85% virtual agent resolution rate for common requests
• 60% of issues resolved via self-service (up from 20%)
• 90% reduction in hold times during peak hours
• 24/7 support availability without increased staffing

Knowledge Management

• 300+ new knowledge articles auto-generated in first 6 months
• 95% knowledge article accuracy rating
• 75% increase in knowledge base usage
• 50% reduction in duplicate article creation
• Continuous knowledge improvement from AI learning

Business Impact

• $1.8M annual cost savings from efficiency gains
• 55% reduction in agent turnover (from 35% to 15%)
• Enabled reallocation of 12 FTEs to strategic initiatives
• Improved clinical operations support with faster IT issue resolution
• Enhanced compliance through consistent, documented processes
• 99.5% SLA achievement across all service categories

Implementation Highlights

Change Management Success

We achieved exceptional user adoption through comprehensive change management:

• Hands-on training for 120 service desk agents
• Created role-specific quick reference guides
• Established AI champions program across departments
• Regular feedback sessions with agents and end users
• Continuous optimization based on usage analytics

Governance & Quality Control

• Implemented AI content review workflows
• Established quality metrics and monitoring dashboards
• Created feedback loops for continuous model improvement
• Developed ethical AI guidelines for healthcare context
• Regular audits of AI-generated content for accuracy

Technologies Implemented

Client Testimonial

Key Success Factors

• Healthcare Context: AI trained on medical terminology and healthcare workflows
• User-Centric Design: Focus on agent experience led to high adoption
• Phased Approach: Incremental rollout built confidence and allowed optimization
• Strong Governance: Clear guidelines ensured quality and compliance
• Continuous Learning: Feedback loops enabled ongoing improvement