Claude AI Practice
MyDataDynamo builds production systems on Anthropic's Claude. We deploy via Microsoft Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or direct Anthropic API, depending on your infrastructure requirements and data residency constraints.
What we build
Agentic analytics over Microsoft Fabric lakehouses
Claude agents query, summarize, and surface insights from Fabric lakehouses using structured tool calls. Outputs are integrated into Power BI reports or delivered via API to downstream applications.
MCP servers connecting Claude to SQL Server and enterprise data
We build Model Context Protocol servers that expose SQL Server databases, stored procedures, and enterprise APIs as structured tools for Claude. This enables natural-language querying and agent-driven data retrieval without exposing raw credentials or unstructured access.
Claude-assisted semantic models and Power BI enablement
Claude assists in generating and validating DAX measures, documenting semantic models, and drafting natural-language summaries of Power BI reports. This reduces analyst time on routine documentation and accelerates model review cycles.
Document intelligence and extraction pipelines
We build pipelines that use Claude to extract structured data from unstructured documents — contracts, invoices, regulatory filings, and internal reports. Extracted data is written to Fabric lakehouses or Azure SQL for downstream analytics.
Our methodology
Discover
We conduct a structured review of your existing data environment, identify candidate use cases, assess AI readiness, and produce a prioritized recommendation document. Deliverables include a use-case register, data source inventory, and a proposed pilot scope.
Pilot
We deploy a working system on a single, well-defined use case. The pilot includes a functioning Claude integration, basic monitoring, and a documented evaluation framework. At the end of the pilot, you have a production-ready proof of concept and a go/no-go decision framework.
Production
Full-scale implementation with complete documentation, automated testing, security review, and a structured handover. Deliverables include architecture documentation, runbooks, and a trained internal point of contact.
Enablement
Ongoing support covering model monitoring, prompt maintenance, dependency updates, and team upskilling. Structured as a monthly retainer with defined SLAs and a named point of contact.
Engagement tiers
| Tier | Duration | Deliverables | Best for |
|---|---|---|---|
| AI Readiness Assessment | 2 weeks | Use-case register, data source inventory, prioritized recommendation | Organizations evaluating AI investment |
| Pilot Deployment | 6 weeks | Working Claude integration, evaluation framework, go/no-go report | Teams ready to test a defined use case |
| Production Deployment | 8–12 weeks | Production system, documentation, runbooks, handover | Organizations committing to production AI |
| Managed Enablement | Ongoing | Monthly support, monitoring, upskilling, named contact | Teams operating Claude systems in production |
Deployment surfaces
We deploy Claude across the following surfaces, selected based on your infrastructure, data residency, and procurement requirements:
Microsoft Azure AI Foundry
Preferred for organizations already on Azure with data residency requirements.
Amazon Bedrock
Available for organizations with existing AWS infrastructure.
Google Vertex AI
Available for organizations with existing GCP infrastructure.
Anthropic API (direct)
Used for development, prototyping, and organizations without cloud commitments.
Certifications
- Anthropic Academy coursework completed.
- Claude Certified Architect – Foundations (CCAR-F) in progress.
Ready to evaluate Claude on your data stack?
Engagements begin with a structured discovery session.
Book a consultation