Microsoft Fabric with AIS
Unify data. Unlock AI.
Legacy Power BI environments often carry more knowledge debt than technical debt, with critical business logic trapped in undocumented DAX, opaque Power Query M transforms, and dependencies that exist only in institutional memory. In our latest whitepaper, we break down how a spec‑driven, AI‑assisted approach decomposes these legacy assets and rebuilds them as governed, testable, fully documented dbt projects in Microsoft Fabric—transforming tribal-knowledge BI into scalable analytics engineering.
Download the full whitepaper to see how your organization can reduce knowledge debt and operational risk while accelerating insight delivery.
Data Unification Delivered with Confidence
AI is transforming fast-growing enterprises across every industry, but between disconnected systems, scattered data, and limited IT resources, many organizations still aren’t ready to take full advantage.
AIS helps organizations move from fragmented reporting and manual data workflows to scalable, secure, Microsoft Fabric–powered data platforms—designed for performance today and growth tomorrow.
Proven Fabric Outcomes
Real Results from Real Implementations
A financial investment client needed to modernize their legacy reporting environment. AIS optimized operations by replacing hundreds of Excel-based workflows with a Fabric Lakehouse and Power BI semantic model.
AIS Impact:
- Continuous in-quarter visibility instead of end-cycle reporting
- Consistent, governed financial definitions across operators
- ~10 weeks of management effort saved annually
- ~1.5 frontline FTEs returned to higher-value deliverables
Why AIS for Microsoft Fabric Implementation
Fabric success is more than just deployment. AIS makes data unification operational, trusted, and sustainable. With the right architecture, governance, and operating model, AIS is helping customers innovate faster, reduce risk, and scale employee impact.
Turn data from a a manual reporting burden into an “always on,” governed decision system. Data unification with Fabric means leaders spend less time producing insight and more time acting on it. From data ingestion and transformation through to analytics and AI, our implementations deliver value via speed, trust, and scale.
Move from AI experimentation to scalable intelligence across your the business. AIS helps customers prepare data foundations for AI, Copilot, and advanced analytics to ensure data is governed, trusted, and structured. This means AI can deliver accurate, secure, and explainable insights instead of delayed, quarterly estimates.
Enabling self‑service analytics without sacrificing control allows business users to explore data and answer questions on their own, while IT maintains governance, security, and consistent definitions behind the scenes. With Microsoft Fabric, organizations scale insight and innovation without increasing risk, rework, or data inconsistency.
Data unification is more than just an IT initiative, it’s a strategic advantage that drives growth and improves operational performance. From POV to production, AIS solutions are relentlessly comprehensive to ensure customers are supported on the journey to AI-readiness. Our full-range capabilities include:
Platform Architecture & Design
- Fabric Lakehouse and Medallion patterns
- Capacity planning and workspace standards
- Multi-tenant and hybrid architectures
Data Engineering
- Fabric pipelines, SQL endpoints, and notebooks
- API-driven and incremental ingestion patterns
- Data quality and enrichment at scale
Analytics & Power BI
- Semantic model design on Fabric Gold layers
- Certified datasets and report governance
- Executive, operational, and self-service reporting
Governance & Security
- RBAC, data classification, and compliance alignment
- Monitoring, observability, and audit readiness
- Standards for promotion and certification
AI & Advanced Analytics Readiness
- Data foundations optimized for Copilot and AI workloads
- Predictive modeling and ML patterns
- GPT-enabled analytics assistants and PoVs