Our Case Studies

Anaconda RAG Agent Deployment Package (Software)

This RAG Agent Package provides a streamlined way to deploy Retrieval-Augmented Generation agents in an Anaconda environment. It consolidates all the essential components—retrieval pipelines, machine learning frameworks, and model inference tooling—into a single, easy-to-implement solution, allowing developers to focus on creating powerful conversational agents without the overhead of manually configuring dependencies.

Impact:

  • 60% reduction in developer setup time
  • Supports seamless scaling for high-traffic or production-scale deployments

AstraZeneca – AI-Powered Financial “Talk-to-Data” Platform

Built an LLM-driven financial analytics agent for AstraZeneca that integrated directly with Power BI and internal financial datasets, enabling non-technical financial stakeholders to query, explore, and analyze data using natural-language prompts instead of manual dashboards or SQL.

The system translated user questions into context-aware queries, executed them against governed financial data sources, and returned accurate, auditable insights in plain language and structured summaries—dramatically reducing dependency on data teams for ad-hoc analysis.

Impact:

  • Enabled finance, FP&A, and leadership teams to “talk to the data” in real time
  • Eliminated manual dashboard slicing and repetitive analyst requests
  • Accelerated decision-making with instant, self-serve insights
  • Improved accessibility of complex financial data without compromising governance

DigiCred – AI-Powered Education & Career Guidance Assistant

Designed and built an AI-powered education assistant for DigiCred that integrated directly with university learning management systems (LMS) and student transcript data to provide personalized academic and career guidance.

The platform analyzed coursework, grades, skills, and academic progression to help students understand their strengths, identify career paths, and receive tailored recommendations for courses, certifications, and next educational steps aligned with their goals. Using LLMs and structured academic data, the assistant translated complex transcript information into clear, actionable insights for students.

The system was designed with privacy and institutional constraints in mind, enabling secure, role-aware access across universities.

Impact:

  • Delivered personalized career and academic recommendations to students
  • Improved student clarity around career paths and skill development
  • Reduced reliance on manual academic advising resources
  • Increased engagement with educational planning tools
  • Enabled scalable, AI-driven student support across institutions

Merck – Automated Clinical Study & Patient Safety Report Generation

Designed and implemented an LLM-powered automation system for Merck to generate clinical study reports (CSRs) and patient safety narratives that were previously authored manually by medical writers. Historically, a single medical study required up to 6 months of manual writing, review, and revision.

The solution leveraged large language models, structured clinical data pipelines, and controlled prompt orchestration to automatically synthesize compliant, publication-ready narratives while maintaining medical accuracy and regulatory standards.

Impact:

  • Reduced report generation time from ~6 months to ~30 minutes
  • Automated thousands of hours of manual medical writing effort
  • Delivered approximately $20M in annual cost savings
  • Enabled faster regulatory submissions and accelerated clinical timelines

Capital One Check Fraud Detection Model (Banking SaaS)

Our client implemented an advanced AI-driven fraud detection model to secure their mobile banking app, specifically targeting fraudulent check transactions. This sophisticated model leverages machine learning algorithms to analyze patterns, flag suspicious activity, and detect potential fraud in real time, ensuring a high level of accuracy and security.

Since deploying the fraud detection model, our client has experienced a 25% reduction in fraud-related losses, amounting to savings of over $5 million annually. Additionally, the system operates autonomously, monitoring thousands of transactions daily, leading to enhanced customer trust and streamlined risk management processes. This upgrade has proven instrumental in significantly boostng both security and operational efficiency.

Impact:

  • 25% reduction in fraud-related losses
  • $5 million annual cost savings due to fraudulent transactions
  • 40% decrease in manual fraud investigations

FIT:MATCH AI (E-Commerce/Retail SaaS)

Our team developed and deployed an advanced AI chatbot solution seamlessly integrated with our client’s ecommerce platform. Leveraging natural language processing and machine learning algorithms, the chatbot provided personalized product recommendations, assisted with order management, and resolved customer inquiries in real-time.

Client experienced a significant reduction in customer service response times, leading to improved customer satisfaction scores and higher retention rates. Cart abandonment rates decreased, and sales increased as the chatbot guided users through the purchasing process and offered timely assistance.

Impact:

  • $10 million Series A funding secured
  • Reduced average response time from 24 hours to <5 minutes, resulting in a 75% improvement in inquiry resolution speed
  • Decreased cart abandonment rate by 40%, leading to a 20% increase in completed purchases
  • Improved sales conversion rate by 15%

Seller IQ Real Time Sales Call AI Analytics (Software)

Our client required an AI system that listens in on real-time sales calls and provides immediate, context-based guidance to the sales representative. By integrating advanced speech recognition and natural language processing, the solution actively interprets customer cues—such as objections, questions, and buying signals—and instantly recommends effective responses or tactics. This helps sales reps capitalize on upsell opportunities, address concerns more confidently, and maintain control of the conversation.

Impact:

  • 30% reduction in sales rep onboarding time
  • Boosted sales rep confidence: Personalized coaching in real-time enables reps to handle challenging objections confidently

Centene Corporation – Provider–Patient Mapping for 501(c)(3) Compliance

Designed and implemented a data integration and matching system for Centene Corporation to accurately determine provider–patient relationships using a public API, supporting regulatory and 501(c)(3) compliance requirements.

The solution ingested and normalized external and internal datasets, applied deterministic and probabilistic matching logic, and produced auditable provider-to-patient mappings that could be traced back to source records. This enabled Centene to clearly demonstrate compliant care attribution, reduce manual reconciliation efforts, and respond efficiently to regulatory and audit inquiries.

Impact:

  • Established reliable, auditable provider–patient mappings for compliance reporting
  • Reduced manual data reconciliation and compliance review overhead
  • Improved confidence and transparency in 501(c)(3) regulatory submissions
  • Enabled scalable, repeatable compliance workflows via API-driven automation

Centene Corporation – DOH Questionnaire Classification & LOINC Mapping Automation

Built an LLM-powered classification and coding system for Centene Corporation to automatically determine whether incoming questionnaires were Department of Health (DOH)–related and, when applicable, assign the correct LOINC codes via an API-driven workflow.

The solution analyzed questionnaire text, structure, and clinical intent using large language models combined with rule-based validation, mapped eligible instruments to standardized LOINC concepts, and returned explainable, auditable results suitable for downstream clinical, reporting, and interoperability use cases.

Impact:

  • Automated identification of DOH-relevant questionnaires
  • Accurately mapped questionnaires to standardized LOINC codes
  • Reduced manual clinical informatics and coding effort
  • Improved data standardization, interoperability, and regulatory readiness
  • Enabled scalable, API-based integration across systems

Corewell Health – Enterprise AI Agent Platform for Internal Operations

Designed and deployed a suite of internal AI agents for Corewell Health to support IT service desk, HR, call center operations, and Epic education and enablement across the organization.

The platform leveraged LLMs, retrieval-augmented generation (RAG), and role-specific knowledge bases to provide employees with instant, accurate answers to operational, technical, and clinical system questions—significantly reducing ticket volume, call handling time, and onboarding friction.

Agents were tailored by function, access-controlled by role, and integrated into existing internal workflows to ensure accuracy, security, and enterprise adoption.

Impact:

  • Deployed AI agents across IT, HR, call center, and Epic education teams
  • Reduced service desk tickets and repetitive support inquiries
  • Accelerated employee onboarding and Epic system proficiency
  • Improved call center efficiency and first-contact resolution
  • Delivered $10M+ in operational value through productivity gains and cost reduction

Virtasant – AI-Driven Recruiting Funnel Analytics & Automated Candidate Screening

Built an AI-powered recruiting analytics and screening platform for Virtasant to automate end-to-end funnel metrics and intelligently screen candidates at scale.

The system ingested resume data, application responses, and recruiting signals to automatically evaluate candidate fit, surface high-quality applicants, and generate real-time funnel insights across each stage of the hiring process. Large language models were used to assess experience relevance, role alignment, and signal quality, dramatically reducing manual recruiter review time.

The platform provided leadership with clear visibility into conversion rates, bottlenecks, and drop-off points, enabling data-driven optimization of the recruiting pipeline.

Impact:

  • Automated candidate screening and prioritization using AI
  • Reduced manual resume review and recruiter workload
  • Delivered real-time visibility into recruiting funnel performance
  • Improved hiring speed and candidate quality
  • Enabled scalable, data-driven recruiting operations

Accelerant – Internal RAG Chatbot (“Accelerant GPT”) for IT & HR Operations

Designed and implemented Accelerant GPT, an internal retrieval-augmented generation (RAG) chatbot to automate and streamline IT support, HR inquiries, and internal operations across Accelerant Insurance.

The system integrated with internal documentation, policies, runbooks, and knowledge bases to provide employees with instant, accurate, and role-aware answers to common operational questions. By leveraging LLMs with controlled retrieval and access permissions, the platform reduced dependency on internal support teams while maintaining security and auditability.

Accelerant GPT was deployed as a centralized internal assistant, improving response times, employee experience, and operational efficiency across departments.

Impact:

  • Automated IT and HR support inquiries via a single internal AI assistant
  • Reduced internal ticket volume and repetitive support requests
  • Improved employee self-service and response times
  • Increased operational efficiency across core business functions
  • Enabled scalable, secure internal knowledge access through RAG

AI Closings – Multi-Agent AI System for End-to-End Real Estate Deal Execution

Designed and built a multi-agent AI platform for AI Closings that automated the entire real estate deal lifecycle, from discovery to negotiation and close.

The system consisted of four specialized AI agents, each optimized for a core function within real estate investing workflows:

  • A Property Discovery Agent to identify on-market and off-market properties based on investor criteria
  • A Deal Analysis Agent to evaluate financials, comps, risk, and return metrics
  • An Outbound Outreach Agent to generate and send personalized acquisition mail at scale
  • A Documentation & Negotiation Agent to draft offers, contracts, and negotiation responses

Agents operated independently but shared context through a coordinated orchestration layer, enabling seamless handoffs and consistent deal intelligence throughout the pipeline.

Impact:

  • Automated large portions of property sourcing, underwriting, and outreach
  • Reduced manual analysis and deal preparation time
  • Increased deal velocity and consistency across transactions
  • Enabled real estate operators to scale acquisition efforts with minimal overhead