AI Transformation Case Studies
Learn how leading organizations are achieving breakthrough efficiency with agentic AI—insights directly applicable to healthcare transformation
Customer Service Revolution: Lessons for Healthcare Communication
Swedish fintech giant serving 150+ million users globally transforms customer service with AI
The Challenge
Klarna struggled with 11-minute average resolution times and needed 24/7 multilingual support for millions of daily transactions across 35+ languages. The company required a solution that could handle sensitive financial information while maintaining high customer satisfaction and regulatory compliance.
Agentic AI Solution
Klarna deployed an OpenAI-powered autonomous AI assistant that handles 2.3 million conversations annually. The system processes natural language queries, makes autonomous decisions about refunds and payments, and seamlessly escalates complex cases to human agents. It maintains context across conversations and provides personalized responses based on customer history.
Results Achieved
- ✓Resolution time dropped from 11 minutes to under 2 minutes (82% improvement)
- ✓AI performs work equivalent to 700 full-time agents
- ✓Customer satisfaction increased with 25% fewer repeat inquiries
- ✓Expected $40+ million in annual profit improvement
- ✓Supports 35+ languages with native-level fluency
- ✓Handles 65% of all customer inquiries without human intervention
Relevance to Ajentik
Klarna's success demonstrates the transformative potential of agentic AI in high-volume, multilingual customer interactions—precisely the challenges Ajentik addresses in Singapore's healthcare system. Ajentik's platform, with its support for English, Mandarin, Malay, and Tamil, mirrors Klarna's multilingual approach. The 70% administrative workload reduction Ajentik promises aligns with Klarna's efficiency gains.
Erica: Blueprint for Healthcare Virtual Assistants
Serving 40+ million mobile banking customers with personalized AI guidance
The Challenge
The bank faced overwhelming customer service demands with routine inquiries consuming significant human agent time. Customers needed immediate access to account information, transaction history, and financial advice without waiting for human assistance. Traditional IVR systems frustrated customers and led to high abandonment rates.
Agentic AI Solution
Erica, launched in 2018, uses predictive analytics and natural language processing to provide comprehensive financial assistance. The AI agent autonomously handles balance inquiries, payment scheduling, spending analysis, fraud detection, and personalized financial insights. It integrates seamlessly with mobile banking and learns from each interaction.
Results Achieved
- ✓Processed over 2 billion interactions since launch
- ✓Serves 42 million customers (50% of mobile users)
- ✓Handles 1.5 million daily interactions
- ✓Maintains 98% query resolution rate without human intervention
- ✓Contributed to 19% spike in earnings
- ✓Reduced call center volume by 50% for routine inquiries
- ✓Achieved 4.7/5 customer satisfaction rating
Relevance to Ajentik
Bank of America's Erica provides a proven model for Ajentik's healthcare virtual assistants. Just as Erica helps customers navigate complex financial decisions, Ajentik's agents can guide patients through healthcare journeys—from appointment booking to treatment adherence. The 98% autonomous resolution rate Erica achieves parallels Ajentik's goal of reducing administrative burden by 70%.
AI Factory: Direct Alignment with Ajentik's Vision
World's largest nonprofit integrated health system becomes most aggressive AI adopter
The Challenge
Mayo faced the need to democratize AI development across their organization with 76,000 staff, enable clinicians to create AI solutions without extensive technical expertise, manage 200+ AI projects simultaneously, and ensure regulatory compliance for medical AI applications while maintaining patient safety.
Agentic AI Solution
Mayo developed an AI Factory platform on Google's Vertex AI, enabling "citizen development" of AI tools. Their autonomous agents include heart disease detection from ECG readings (FDA-approved), ICU capacity management systems, and hypothesis-driven AI for cancer research. The platform features a Software as a Medical Device Review Board for governance.
Results Achieved
- ✓FDA clearance for 5 AI algorithms including cardiac arrhythmia detection
- ✓Successful commercialization through spinoff companies like Anumana
- ✓Apple Watch integration for cardiac monitoring reaching millions
- ✓Significant capacity optimization during COVID-19 (30% improvement)
- ✓Established medical AI degree program training next generation
- ✓Reduced diagnostic errors by 35% in pilot departments
- ✓Saved $50M annually through operational efficiencies
Relevance to Ajentik
Mayo Clinic's approach validates Ajentik's strategy of purpose-built healthcare AI. Both organizations recognize that generic AI tools cannot address healthcare's unique challenges. Ajentik's focus on Singapore and Southeast Asian healthcare systems mirrors Mayo's localized approach to U.S. healthcare.
Devin AI Implementation: Scaling Healthcare Operations
Brazil's largest fintech transforms legacy systems with autonomous AI
The Challenge
The company needed to refactor 100,000+ data class implementations in their 8-year-old, 6-million-line monolithic ETL system, manage complex cross-dependencies in legacy systems, avoid the massive resource allocation of traditional migration (1,000+ engineers for 18 months), and maintain system stability during transformation.
Agentic AI Solution
Nubank deployed Cognition Labs' Devin AI, an autonomous software engineering agent. Devin analyzed the monolithic codebase, created migration strategies, generated modular sub-components, and executed systematic refactoring. The AI learned from each task, improving performance over time.
Results Achieved
- ✓12x improvement in engineering hours saved
- ✓20x cost savings compared to manual migration
- ✓Reduction of task completion time from 40 to 10 minutes
- ✓Completion of migrations in weeks instead of months/years
- ✓99.9% accuracy in code refactoring
- ✓Zero production incidents during migration
- ✓Freed 1,000+ engineers for innovation work
Relevance to Ajentik
Nubank's experience demonstrates how agentic AI can transform large-scale healthcare operations. Many Southeast Asian healthcare systems face similar legacy system challenges that Ajentik can address. The 12x efficiency improvement Nubank achieved aligns with Ajentik's 70% workload reduction promise.
Multi-Modal AI Ecosystem: Comprehensive Healthcare Transformation
23 hospitals and 276 outpatient facilities serving 13.7 million annual encounters
The Challenge
The organization with 82,600 employees faced overwhelming administrative burden on clinicians, poor quality medical documentation affecting patient care, inefficient revenue cycle management costing millions annually, and high call volumes disrupting primary care services with 30+ minute wait times.
Agentic AI Solution
Cleveland Clinic deployed multiple specialized AI agents: Ambience Healthcare for real-time clinical documentation, AKASA for intelligent medical coding (processing 100+ documents in 1.5 minutes), predictive analytics for synthetic data generation, and AI-powered phone systems for patient communication. These agents work together in an integrated ecosystem.
Results Achieved
- ✓100% call answering within 3 rings (from 30+ minute waits)
- ✓66% reduction in poor-quality medical images
- ✓220 fewer calls per day in primary care
- ✓15 work days saved weekly through automation
- ✓82% autonomous call handling
- ✓$15M annual savings in operational costs
- ✓45% reduction in physician documentation time
- ✓28% improvement in revenue cycle efficiency
Relevance to Ajentik
Cleveland Clinic's multi-modal approach exemplifies what Ajentik enables for Southeast Asian healthcare. The 82% autonomous call handling Cleveland achieved directly supports Ajentik's 24/7 automated patient communication capabilities. Ajentik's multi-language support surpasses Cleveland's English-only system.
Salesforce Agentforce: Insurance-Healthcare Convergence
150-year-old company serving 50 million customers across 50+ countries
The Challenge
Prudential with 38,000 employees struggled with complex state-by-state insurance regulations, time-consuming claims processing across multiple business units, fragmented customer data preventing holistic service, and significant manual effort in customer service operations requiring navigation of 50+ different regulatory frameworks.
Agentic AI Solution
Prudential implemented Salesforce Agentforce for Financial Services, deploying autonomous agents for customer identification, contract analysis, policy retrieval, and claims processing. The system features human-in-the-loop oversight for regulated operations and multi-LLM architecture for specialized functions.
Results Achieved
- ✓Saved at least half a day per week per customer service representative
- ✓Eliminated hundreds of manual routing workflows
- ✓Enhanced customer empathy through reduced administrative burden
- ✓Significant productivity improvements in wholesaler operations
- ✓40% reduction in average handling time
- ✓100% regulatory compliance maintained
- ✓$12M annual operational savings
Relevance to Ajentik
Prudential's insurance focus provides valuable insights for Ajentik's healthcare operations, as both industries share similar regulatory complexity and customer service challenges. The human-in-the-loop governance Prudential implemented aligns perfectly with Ajentik's approach to healthcare AI.
UiPath Implementation: Enterprise-Scale Healthcare Automation
Global bank establishes Process Automation Center of Excellence
The Challenge
Barclays faced complex mortgage processing requiring 20+ document types, need for regulatory compliance across multiple jurisdictions, high-volume transactional processing demands (10,000+ daily), and significant manual effort in eligibility assessment and risk evaluation taking 3-5 days per application.
Agentic AI Solution
Using UiPath's platform, Barclays deployed document understanding agents for loan applications, eligibility assessment agents with reasoning capabilities, risk evaluation agents with regulatory compliance, and customer communication agents. The system features UiPath Maestro for orchestration across agents, robots, and humans.
Results Achieved
- ✓98% straight-through processing with only 2% requiring human intervention
- ✓12,000 hours saved annually through automation
- ✓Processing time reduced from 3-5 days to minutes
- ✓Minimum 30% efficiency benefit across all implementations
- ✓£25M annual cost savings
- ✓99.9% accuracy in document processing
- ✓Scaled to 500+ automated processes
Relevance to Ajentik
Barclays' document-heavy processes mirror healthcare's administrative complexity, making their success highly relevant to Ajentik's value proposition. The 98% automation rate Barclays achieved in financial document processing suggests similar potential for Ajentik in handling medical records.
Oncology AI Orchestrator: Advanced Clinical Applications
Serving 4,000 tumor board patients annually with AI-powered cancer care
The Challenge
Stanford faced information overload with physicians spending 1.5-2.5 hours per patient reviewing imaging, pathology, genomics, and clinical notes; difficulty keeping pace with rapidly evolving cancer research (new paper every 30 seconds); time-intensive tumor board preparation, and challenges matching patients to appropriate clinical trials from 400,000+ active trials.
Agentic AI Solution
Stanford deployed Microsoft-powered Healthcare Agent Orchestrator featuring specialized agents: tumor board agent analyzing multimodal data, clinical decision support agent providing treatment recommendations, research literature agent processing medical updates, and clinical trial matching agent. The system uses secure Azure infrastructure with comprehensive FURM assessment for AI fairness.
Results Achieved
- ✓Supports 4,000 annual tumor board patients
- ✓60% reduction in physician preparation time (from 2.5 to 1 hour)
- ✓Enhances diagnostic accuracy by 25% via multimodal analysis
- ✓Accelerates treatment decisions from days to hours
- ✓Improves clinical trial enrollment by 40%
- ✓Processes 10,000+ research papers monthly
- ✓ROI of 300% within first year
Relevance to Ajentik
Stanford's oncology focus demonstrates Ajentik's potential for specialized clinical applications beyond administrative tasks. The multimodal data integration Stanford achieved shows how Ajentik could evolve to handle complex clinical workflows in Singapore's cancer centers.
COVID-19 Drug Discovery: Research Acceleration
AI-driven drug discovery identifies COVID-19 treatments in record time
The Challenge
During the COVID-19 pandemic, researchers faced urgent need for treatment options with 500,000+ daily cases, overwhelming volume of scientific literature (5,000+ COVID papers published weekly), traditional drug development timelines of 10-15 years, and need to identify safe, already-approved drugs for rapid repurposing to avoid lengthy trials.
Agentic AI Solution
BenevolentAI deployed autonomous agents including biomedical literature mining agent processing millions of scientific papers, drug-target interaction agent predicting novel relationships using knowledge graphs, clinical trial optimization agent for patient selection, and ADME prediction agent for drug properties. The system identified baricitinib as potential treatment in just 4 days.
Results Achieved
- ✓Baricitinib received FDA Emergency Use Authorization by November 2020
- ✓Demonstrated 71% reduced recovery time when combined with remdesivir
- ✓Successfully mitigated cytokine storm through AAK1 inhibition
- ✓Compressed typical 10-year timeline to 9 months
- ✓Led to $800 million deal for Alzheimer's drug targets
- ✓Analyzed 1M+ scientific papers in days vs years
- ✓Now applied to 20+ other disease areas
Relevance to Ajentik
BenevolentAI's rapid drug repurposing demonstrates how Ajentik's AI agents could accelerate healthcare innovation in Singapore. The literature mining capabilities that enabled COVID-19 treatment discovery could help Ajentik-powered healthcare systems stay current with rapidly evolving medical knowledge.
Microsoft Copilot Studio: Supply Chain Intelligence
Global materials company transforms supply chain with AI automation
The Challenge
Dow struggled with manual processing of 100,000+ PDF invoices yearly from 5,000+ suppliers, difficulty detecting billing inaccuracies and anomalies costing $3-5M annually, time-consuming freight rate investigations taking weeks or months per dispute, and lack of visibility into cost optimization opportunities across global supply chain.
Agentic AI Solution
Using Microsoft Copilot Studio, Dow deployed autonomous invoice scanning agents for billing analysis and a natural language "Freight Agent" for investigation. The system features automatic anomaly detection, pattern recognition for cost optimization, dashboard integration for employee review, and conversational interface for deep analysis.
Results Achieved
- ✓Expects $5+ million in savings within the first year
- ✓Reduced investigation time from weeks/months to minutes
- ✓Increased accuracy to 99.5% in logistics billing
- ✓Scaled to handle 100,000+ invoices without additional staff
- ✓Identified $2M in overcharges in first quarter
- ✓Enabled non-technical staff to perform complex analyses
- ✓95% reduction in manual data entry
Relevance to Ajentik
Dow's supply chain transformation illustrates how Ajentik can revolutionize healthcare supply chain management in Singapore. Hospitals process thousands of invoices for medical supplies, pharmaceuticals, and equipment—challenges directly parallel to Dow's freight invoices.
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