Core Capabilities
The transformation capabilities behind our engagements
Start with the capability your organization needs, then explore the featured engagements below to see how these services are applied in complex enterprise environments.
Analytics Modernization
Reporting modernization
Assess legacy reporting estates, rationalize inventories, and define migration waves for governed, modern reporting adoption.
Unified Data Platform
Microsoft Fabric implementation
Define platform architecture, workspace strategy, governance patterns, and delivery sequencing for enterprise analytics modernization.
Data Platform Transformation
Data modernization programs
Modernize fragmented data systems into more governable, scalable foundations that support analytics and operational decision-making.
Enterprise AI
AI roadmap and governance
Prioritize use cases, establish governance controls, and build clear delivery pathways that connect AI to business outcomes.
Featured Engagements
See the capabilities in action
Explore representative case studies showing how AI Edge applies these capabilities to migration, reporting, data platform, and enterprise AI challenges.
Featured Case Study | Sales Intelligence
Building a governed AI foundation for next-best-action recommendations
For a heavy equipment dealer, AI Edge supported the design of a Microsoft Fabric Data Agent approach that connected business questions, semantic models, governance, and future orchestration planning.
Read the case studyFeatured Case Study | Migration Factory
Building a Microsoft Fabric migration factory for a global mining company
A phased Azure Data Factory migration established a reusable Fabric architecture baseline, implementation playbook, and validation model for future modernization waves.
Read the case studyFeatured Case Study | ERP Reporting
Modernizing legacy ERP reporting with Fabric Mirroring and Warehouse layers
For an enterprise software and commerce operator, AI Edge helped validate a near-real-time, report-first migration pattern that reduced dependency on production SQL infrastructure without rewriting hundreds of reports.
Read the case studyFeatured Case Study | Databricks Migration
Establishing a scalable AWS Databricks to Azure Databricks migration pattern
For a global information services company, AI Edge helped define and implement a repeatable migration blueprint that preserved downstream analytics while reducing risk for future Azure modernization waves.
Read the case studyFeatured Case Study | SAP and SQL Modernization
Accelerating SAP and SQL modernization with Microsoft Fabric
For a national retail pharmacy and healthcare organization, AI Edge helped establish a repeatable Fabric ingestion and medallion architecture pattern for curated enterprise analytics.
Read the case studyFeatured Case Study | Analytics Modernization
Preparing a large-scale reporting estate for governed Power BI migration
AI Edge helped an enterprise reporting team establish repeatable discovery, migration, subscription inventory, and reversible archive procedures for a complex legacy reporting estate.
Read the case study