# Séafra

> Séafra, Inc. designs, builds and governs AI systems for regulated organizations — healthcare, financial services and insurance. We work inside the client's own cloud tenant (Azure, AWS or Google Cloud), map every build to the compliance frameworks the client answers to, and hand over the code, infrastructure and playbooks so the client can run it without us. Séafra began as a Microsoft Azure partner and also integrates Google Workspace.

Contact: info@seafra.com · Website: https://seafra.com · Book a scoping call: email info@seafra.com

## Who we work with

- Healthcare: prior-authorization drafting, clinical documentation summaries, patient-message triage. Frameworks: HIPAA, HITRUST; PHI stays in the client's tenant.
- Financial services: KYC and onboarding review, policy and procedure Q&A, analyst research assistants. Frameworks: SOC 2, PCI DSS 4.0, model risk management (SR 11-7).
- Insurance: claims intake and summarization, enrollment and benefits support, underwriting document extraction. Frameworks: NAIC model bulletin on AI, state regulations.
- Every build is mapped to the relevant frameworks, which may include HIPAA, HITRUST, SOC 2, PCI DSS 4.0, NIST AI RMF, ISO/IEC 42001 and the EU AI Act.

## Flagship offer: AI Kick-Start Program (5 weeks, fixed scope)

A fast, low-risk on-ramp to practical AI that shows real value in the client's own environment before a long-term budget is committed.

1. Week 1 — Discovery & prioritization. Executive workshop on today's AI landscape; rapid value-mapping of core processes against AI use cases. Output: prioritized use-case catalog (ROI, data fit, feasibility, risk).
2. Week 2 — Data & infrastructure readiness. Lightweight audit of data sources, security and governance; cloud or on-prem deployment options (Azure OpenAI, AWS Bedrock, etc.). Output: readiness scorecard and remediation checklist.
3. Weeks 3–4 — Prototype sprint. A narrow, high-impact proof of concept (e.g. chatbot, demand-forecast model, document summarizer), built with the client's engineers. Output: working POC in the client's environment, code and infrastructure-as-code.
4. Week 5 — Roadmap & capability transfer. Budget-anchored 12-month AI roadmap; skills-transfer workshops and developer playbooks. Output: executive roadmap and "first 100 days" action plan.

Why it works: momentum in 30 days, up-skills your people, vendor-neutral architecture, governance-first, a working POC in your environment, a 12-month roadmap.

## Services

- AI Readiness & Governance Audit: baseline maturity assessment, data and infrastructure scan, policy and risk playbook, executive read-out.
- AI Agent Development: conversational AI, intelligent assistants, workflow automation, custom integrations.
- AI Automation: process automation, predictive analytics, machine learning models, cognitive services.
- Custom GenAI Content Pipeline: domain fine-tuning and retrieval-augmented generation (RAG), tooling and guardrails, multichannel delivery, compliance and cost optimization.
- MLOps & Integration Accelerator: pipeline hardening, CI/CD for models, observability stack, cross-system integration.
- Azure Cloud Solutions: cloud migration, infrastructure as code, DevOps integration, cost optimization.
- Google Workspace Integration: data migration, custom apps, workflow integration, security configuration.

## Project experience

- Manufacturing quality automation (global manufacturer): replaced manual quality control with an AI computer-vision system integrated with Azure IoT for real-time quality assessment. Reported results: 40% fewer defects, 60% faster quality control, about $2M annual savings. Stack: Azure Computer Vision, IoT Hub, Machine Learning, Power BI.
- Financial services AI assistant (regional bank): natural-language assistant automating customer-support inquiries. Reported results: 70% fewer support tickets, 24/7 availability, 95% satisfaction. Stack: Azure Bot Service, Cognitive Services, LUIS, Power Virtual Agents.
- Healthcare data intelligence (healthcare network): AI-driven integration of fragmented patient data with predictive analytics for outcomes. Reported results: 30% better care coordination, reduced readmissions. Stack: Azure Synapse, Machine Learning, FHIR, Power BI.
- Aware insurance product line (c. 2015–2016): software for insurance enrollment — Initiate, Integrate and Orchestrate (LinkAware, ExchangeAware, GroupAware).
- Microsoft 365 and Exchange work for regulated clients, including secure exchange of HIPAA, PII and PCI data in Azure, Exchange Online protection, and Project Server delivery.

## Company

- Over 10 years as a Microsoft Azure partner; Google Workspace and AI/ML practice added more recently.
- How we work: governance first; vendor-neutral (Azure OpenAI, Bedrock, Vertex or open models); work in the client's tenant with their identity and logging; capability transfer through pairing, playbooks and workshops.
- Policies: [HIPAA](https://seafra.com/policies/hipaa), [PCI](https://seafra.com/policies/pci), [Privacy](https://seafra.com/policies/privacy), [Terms](https://seafra.com/policies/terms)

## Optional

- [Insights](https://seafra.com/blog): articles on AI governance, Azure and Microsoft 365
- [Careers](https://seafra.com/careers)