Three pillars. One senior team.
Data Strategy and BI, Data Engineering and Analytics, and Applied AI and GenAI. From strategy through production deployment across healthcare and manufacturing.
AI Strategy and Roadmap
From a backlog of forty use cases to a scored twelve-month sequence.
Most AI plans fail at sequencing, not modelling. Our seven-phase engagement ends with a scored use case portfolio and a twelve-month sequence, tightly enough scoped that the first build starts the week the roadmap lands. Applied in healthcare (physician admin reduction, HCC, VBC performance) and enterprise programs where the backlog is longer than the build capacity.
- Scored use case portfolio across value, feasibility, data readiness, and governance load
- Twelve-month sequence with a first build ready to start within the quarter
- $4M in identified savings across engagements
- 70%+ reduction in physician administrative effort where applied
- Governance positions agreed up front, not month five
Data Engineering and Analytics
Reliable pipelines and warehouses so the right people see the right numbers.
AI and analytics are only as good as the data feeding them. For healthcare we build FHIR-native pipelines that connect EHRs, claims feeds, and operational systems into a unified analytics layer. For manufacturing we consolidate ERP, supplier, and regional inputs on Microsoft Fabric so cadence goes from quarterly to weekly. Engineered for HIPAA-aware PHI handling and designed to move with your contracts.
- Epic, Cerner, and Meditech EHR integration on FHIR
- ERP, supplier, and regional data consolidation on Microsoft Fabric
- Payer claims ingestion for ACO and MSSP analytics
- Data quality and governance for PHI and PII
- Twenty hours per week returned to planners in one manufacturing engagement
Applied AI and GenAI
Azure OpenAI assistants, agents, and NLP shipped into daily operations.
Generative AI only delivers when it is grounded in your data, integrated into real workflows, and deployed with proper guardrails. We build Azure OpenAI assistants that sit on top of the EMR (not replacing it), HCC risk adjustment NLP pipelines, private Azure GPT-4 deployments for legal document intelligence, and GenAI natural-language layers over forecast and dimension tables so planners self-serve. Every solution ships with evaluation and monitoring.
- 70%+ reduction in EMR navigation time (US HealthTech Startup)
- 60%+ faster legal document review (US Accident Law Firm)
- GenAI natural-language layer over forecast tables (Global Outdoor Manufacturer)
- HCC risk adjustment NLP on Azure and Microsoft Fabric
- Production deployment with evaluation frameworks and monitoring
Workflow Automation
End-to-end automation of clinical, operational, and back-office work.
Manual admin work drains capacity and introduces errors. We design end-to-end automation using Azure AI, Azure OpenAI, Claude API, and n8n. Identify the highest-impact opportunities, connect the systems, apply business rules, and add AI agents where they earn their keep. The result: faster delivery, fewer errors, and teams focused on work that matters.
- 30% staff time recovered in one healthtech engagement
- 80+ hours per month redirected through automation
- Prior authorization and intake automation
- AI-enhanced decision automation with human in the loop
- Integration across EHR, payer, ERP, and operational systems
Microsoft Fabric and Azure Platforms
Modern Microsoft-based data platforms, implemented, migrated, and supported.
We specialize in the Microsoft and Azure ecosystem. Microsoft Fabric for consolidated planning and analytics platforms, Azure OpenAI for production AI, Synapse and Databricks where they earn their spot. We implement, migrate, and optimize, and stay on for managed support so your team can operate with confidence.
- Microsoft Fabric consolidation across ERP, supplier, and regional data
- Migration from on-prem and legacy warehouses
- Cost optimization and performance tuning
- Security and compliance configuration for PHI and PII workloads
- Managed support and platform training
Data Architecture
Platform design that scales with contracts and product roadmaps.
A well-designed data architecture is the difference between a platform that scales with your contracts and one that becomes technical debt. We design architectures using proven patterns (medallion, lakehouse, event-driven), sized to your FHIR, claims, ERP, or operational data volumes, with governance and access control built in from day one.
- Lakehouse and medallion architectures sized to real data volumes
- Clinical data modelling (FHIR-native) and manufacturing consolidation models
- PHI and PII governance and access control architecture
- Real-time and batch processing patterns
- Architecture documentation and executive-ready review
Fractional CTO and AI Advisory
Senior technical leadership without the full-time hire.
Not every organization needs a full-time CTO, but every organization making significant data and AI investments needs senior technical leadership. We provide hands-on fractional advisory to healthtech startups, health systems, manufacturing leadership teams, and boutique consultancies. Engagements span strategy, architecture, team development, vendor evaluation, and execution oversight.
- Ongoing strategic technical guidance
- Team mentoring and capability building
- Vendor and technology evaluation
- Architecture review and decision support
- Board and investor-ready technical narratives
Frequently asked, answered plainly.
The questions that come up most often before a first call.
Three pillars: Data Strategy and BI (assessment, roadmap, executive advisory), Data Engineering and Analytics (pipelines, warehouses, cloud platforms), and Applied AI and GenAI (Azure OpenAI, agents, NLP, computer vision, production deployment). Underneath sit fractional CTO advisory, EHR and FHIR integration, HCC risk adjustment, workflow automation, healthcare data architecture, and Microsoft Fabric implementation.
A fixed-scope engagement of four two-hour sessions across seven phases (introduction, landscape review, gap analysis, risk and best practice, tools and reporting, timeline and dependencies, staffing and change). The output is one written assessment and roadmap document, not a slide review, so it can be handed straight to whoever builds the thing. Sessions are scheduled immediately after contract signing.
Yes. We build clinical documentation AI, HCC risk adjustment NLP, EMR navigation assistants on Azure OpenAI, and agentic workflow automation for care coordination, prior authorization, and revenue cycle. Every solution ships with evaluation frameworks and production monitoring.
Let’s talk about the second pilot.
Working on a healthcare AI, manufacturing analytics, EHR integration, inventory placement, or demand forecasting project? Book a 20-minute discovery call. We will tell you honestly if we are the right fit.