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See how operational teams ship faster decisions with AI.

Each engagement below is a real workflow we rebuilt: what it replaced, what we shipped, and what changed afterward. Where clients are confidential, we describe the shape of the work and the outcomes we measured.

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HealthcareFinancial Services

Driving Cloud Transformation in Health Insurance

Modernizing infrastructure and data systems to streamline claims and empower executives with real-time insights.

40% of preventive care claims auto-adjudicated

Client Type

Multi-State Health System

The Challenge

  • Fragmented claims data across multiple systems.
  • Weeks-long turnaround times and high administrative costs.
  • Outdated infrastructure with limited resilience.
  • Lack of real-time executive reporting.

Our Solution

Data Warehousing 路 Claims Automation 路 Cloud Migration 路 Executive Analytics

  • Built a centralized Microsoft SQL Server data warehouse integrating 10+ years of claims data.
  • Modernized storage, compute, and disaster recovery systems.
  • Automated claims processes with Microsoft technologies, enabling auto-adjudication.
  • Delivered real-time Power BI dashboards for leadership.
  • Strengthened governance and compliance frameworks.

Results & Impact

  • 40% of preventive care claims auto-adjudicated.
  • Claims turnaround times reduced from weeks to days.
  • Lower administrative costs and increased staff efficiency.
  • Executives gained real-time visibility for improved decision-making.
  • Scalable, cost-effective IT environment positioned for long-term growth.
Healthcare

Enterprise Data Strategy for a Specialty Medical Clinic

Transforming clinical, operational, and financial data into predictive insights that improve patient outcomes and reduce costs.

Readmissions down 12%; reporting from 3 weeks to 5 days

Client Type

Specialty Cardiovascular Clinic

The Challenge

  • Data spread across various clinical, operational, and financial systems.
  • Leadership lacked timely access to actionable information.
  • Compliance reporting cycles were lengthy, taking up to three weeks.
  • High readmission rates and unplanned transfers impacted patient safety and costs.

Our Solution

Data Lake 路 Predictive Modeling 路 Real-Time Dashboards 路 Compliance Tracking

  • Partnered with CEO, CIO, and clinical leadership to design and execute a multi-phase enterprise data strategy.
  • Leveraged off-the-shelf, cloud-based integration and analytics tools to control costs and accelerate delivery.
  • Built a unified data lake consolidating data from across the organization.
  • Deployed predictive modeling, real-time quality tracking, and interactive dashboards.

Results & Impact

  • 30-day readmission rates reduced by 12%.
  • Unplanned transfers to higher levels of care reduced by 9%.
  • Compliance reporting shortened from 3 weeks to 5 days, cutting audit risk.
  • Leadership gained real-time insights, enabling data-driven decision-making.
  • Established a scalable, cost-effective foundation for continued growth and innovation.
Healthcare

AI and Automation in Medical Imaging Operations

Transforming imaging operations with AI and automation to accelerate diagnostics, standardize processes, and elevate patient care.

Diagnostic turnaround time cut by 30%

Client Type

Distributed Diagnostic Imaging Network

The Challenge

  • Inconsistent processes across a distributed imaging network.
  • Manual workflows slowed diagnostics and increased workloads.
  • Limited real-time collaboration between radiologists and clinical teams.
  • Lack of standardized reporting and visibility for executives.

Our Solution

Process Standardization 路 AI Image Analysis 路 Workflow Automation 路 Cloud Dashboards

  • Partnered with clinical, technical, and operational teams to redesign workflows.
  • Standardized procedures across all centers for consistency and quality.
  • Integrated AI and automation with remote radiology technology to accelerate diagnostic turnaround.
  • Integrated AI and automation with remote radiology technology to automate repetitive tasks for technicians.
  • Integrated AI and automation with remote radiology technology to improve secure, real-time collaboration.
  • Implemented cloud-enabled reporting dashboards for leadership insight.

Results & Impact

  • 30% faster diagnostics through AI- and automation-enabled workflows.
  • Reduced manual workloads, freeing up staff for higher-value activities.
  • Improved accuracy and consistency in imaging service delivery.
  • Higher patient and client satisfaction, driving recurring revenue growth.
  • Created a scalable model for operational excellence and future innovation.
HealthcareSupply Chain

AI and Automation in Supply Chain Transformation

Using AI and automation to streamline logistics, strengthen vendor coordination, and improve customer outcomes.

Predictive inventory visibility with faster vendor coordination

Client Type

Global MedTech Enterprise

The Challenge

  • Manual vendor coordination slowed fulfillment and created bottlenecks.
  • Errors in logistics tracking reduced accuracy and visibility.
  • Limited insight into inventory delayed responses to demand changes.
  • Inconsistent processes led to inefficiencies across supply chain functions.

Our Solution

Predictive Analytics 路 Anomaly Detection 路 Intelligent Orchestration 路 Real-Time Dashboards

  • Partnered with operational leaders to identify core process gaps across vendor management, logistics, and order fulfillment.
  • Introduced AI and automation for predictive monitoring, anomaly detection, and intelligent workflow orchestration.
  • Standardized workflows to reduce errors and improve accuracy.
  • Implemented real-time visibility dashboards powered by AI and automation for proactive decision-making.

Results & Impact

  • Faster vendor coordination and shorter fulfillment cycles.
  • Fewer logistics errors, with AI and automation detecting issues early.
  • Predictive inventory visibility, improving responsiveness to disruptions.
  • Enhanced customer satisfaction through more reliable order fulfillment.
  • Established a scalable AI and automation framework for continuous improvement.
Healthcare

WhatsApp-Native Agentic AI for a Surgical Practice

A WhatsApp AI assistant for scheduling, care questions, and surgical estimates.

Live on WhatsApp for patient-facing automation

Client Type

Surgical Specialty Practice

The Challenge

  • Staff were buried in repetitive WhatsApp questions, scheduling requests, and estimate follow-ups.
  • The practice needed faster response times without adding headcount.
  • Patients wanted to stay on WhatsApp instead of moving to forms or portals.

Our Solution

Agentic AI 路 WhatsApp 路 RAG 路 Scheduling

  • Built a conversational AI assistant directly inside the doctor's WhatsApp workflow.
  • Handled care FAQs, scheduling across two locations, and PDF cost estimates.
  • Grounded answers in approved medical and pricing content with retrieval.
  • Escalated out-of-scope cases to staff with the conversation context preserved.

Results & Impact

  • Live in production after iterative accuracy tuning.
  • Patient communication scaled without matching staff growth.
  • Created a reusable WhatsApp-first automation pattern for healthcare workflows.
Healthcare

AI Dental Screening from Intraoral Images

Computer vision triage that turns intraoral photos into structured screening output.

MVP delivered with a production-ready triage foundation

Client Type

Dental AI Startup

The Challenge

  • The product needed to detect tooth-level conditions from smartphone photos across multiple views.
  • Visual findings then had to combine with questionnaire answers to classify urgency.
  • The system needed to be reliable enough for product use, not just a demo.

Our Solution

Computer Vision 路 Dental Triage 路 Multimodal AI 路 ML Pipeline

  • Built a perception pipeline to identify tooth numbers and detect dental conditions.
  • Added a triage model that combines image findings with structured intake responses.
  • Set up annotation, training, and deployment workflows for repeatable model improvement.
  • Exposed perception and triage through production APIs for the client's apps.

Results & Impact

  • MVP 1.0 shipped on schedule and integrated into the product.
  • Perception and triage were separated cleanly so each layer can improve independently.
  • Created a clear path from more annotated data to better screening accuracy.
Case Studies | Ansky