01: Practice

AI & Data

EveryWarePro's AI & Data practice helps organizations prepare for AI deployment and build the data foundations underneath. The practice spans advisory, implementation, and platform work.

AI & Data Practice

AI and data consulting for organizations preparing to deploy AI capabilities and build the data foundations to support them.

The practice combines AI strategy, governance, and engineering with data strategy, engineering, and analytics, delivered by senior advisors with hands-on experience in regulated environments. EveryWarePro builds AI capabilities in-house where data residency matters, and integrates external models where appropriate.

What it delivers

Five outcomes the practice consistently produces.

  • Executive clarity on where AI delivers value
  • Production-ready AI capabilities with measurable outcomes
  • Governance and risk frameworks for AI deployment
  • Data foundations that make AI viable
  • Healthcare data quality at national-scale program level
The AI stack across five layers: Applications, Agentic Layer, RAG and Vector Stores, Foundation Models, Data Pipelines and MLOps.
Practice capabilities

Eight capabilities, advisory through delivery.

AI Opportunity Assessment

Where AI delivers value across the operating model.

AI Strategy & Roadmap

Multi-year AI program shape and sequencing.

AI Governance & Risk

Policy, controls, and oversight frameworks.

Agentic AI Solutions

Autonomous agents for operational workflows.

In-house AI Models

Self-hosted models for data residency requirements.

Data Strategy & Roadmap

Enterprise data foundation and sequencing.

DataOps Platforms

Automated discovery, ingestion, and quality.

Master Patient Index

Identity resolution at national-scale healthcare.

Practice foundations

Senior AI scientists with PhD-level depth · enterprise data engineering · regulated-environment delivery · healthcare interoperability standards · self-hosted and cloud deployment models.