Microsoft Partner

From legacy estate to trusted Power BI, in weeks.

Most enterprises already own this stack. What they are missing is the layer underneath it: a governed platform in Fabric, a semantic model the business actually trusts, and the engineering discipline to keep both honest as they grow. Our AI agents carry decades of data engineering practice into that work, so it lands in weeks instead of the six to twelve month program it used to be.

Explore the three pillars
In tenant
Your Azure, your data
25 yrs
SQL Server to Fabric
PETL
Accelerator on Fabric
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Microsoft Service Offerings

Everything you need on the Microsoft stack, end to end.

Three pillars take you from a legacy data estate to governed, intelligent applications running on Azure and Microsoft Fabric, all delivered inside your tenant, under your control.

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PILLAR 01

Data Platform Build & Migrate

We architect and deploy a production-ready Microsoft Fabric environment in your Azure tenant, then move you onto it. Our Data Migration, Data Modeling & Planning, and Data Engineering Agents read your legacy ETL and rebuild it in Fabric. Which Fabric services carry which load is a call we make with your team, not a template we arrive with. The output is production code that stays maintainable and refactorable, not opaque one-shot LLM output.

  • Fabric capacity, workspace, domain & OneLake architecture design
  • Ingestion via Data Factory pipelines, Copy job, mirroring & OneLake shortcuts
  • Medallion build in lakehouse or warehouse, in Spark or T-SQL
  • Legacy SQL Server, SSIS & Azure Data Factory estates assessed and migrated
  • Governance from day one: OneLake security, Microsoft Purview, Entra ID
  • Runs in your Azure tenant: data never leaves your perimeter
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PILLAR 02

AI-Driven Business Intelligence

Power BI is where your business already looks. We build the Gold layer it sits on and the semantic model over it, then enrich that model with the business definitions that make AI answer like an analyst instead of guessing. That model is what Copilot in Fabric, Fabric data agents, and our Chatalytics app all answer from, so the business gets one governed version of itself. It is also the foundation Fabric IQ ontologies build on as that layer matures.

  • Power BI semantic models on a governed Gold layer, tuned to how your business asks questions
  • Semantic enrichment so Copilot in Fabric answers correctly, not confidently wrong
  • Business definitions and KPIs defined once, reused across reports and agents
  • Fabric data agents for natural-language Q&A across your domains
  • Chatalytics conversational analytics on the same governed model
  • Report and dashboard build, row-level security, workspace rollout
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PILLAR 03

AI Automation & Custom Agents

Once the platform is governed and the semantic layer is trustworthy, agents have something solid to stand on. We build custom agents on Microsoft Foundry, formerly Azure AI Foundry, and on Copilot Studio, that read from Fabric, act in your line-of-business systems, and meet people where they already work. Every agent is scoped, evaluated, and governed rather than dropped in and hoped for.

  • Custom agents built and hosted on Foundry Agent Service
  • Copilot Studio agents and Microsoft 365 Copilot extensibility
  • Operations agents that watch live data and trigger governed action
  • Grounded in your governed semantic model so agents reason in your business language
  • Foundry observability, evaluations and content filters before rollout
  • Delivered in Teams, Power BI, and the apps your people already use
The PETL System, inside Microsoft Fabric

Three AI Harnesses. Native Fabric features. Bronze to Gold.

PETL runs end-to-end on Fabric primitives. Data Factory for ingest, Spark or T-SQL for the physical build, OneLake and Microsoft Purview for governance, with a human in the loop at every step.

Where you are Microsoft Excel · CSV SAP · ERP SQL Server Procs · SSIS Legacy mart New DAIS AI Microsoft Fabric
PETL Prep

Fabric Data Factory, mirroring, OneLake

Connects to your sources with Data Factory pipelines, Copy job, mirroring, or OneLake shortcuts, then lands the Bronze layer in OneLake with lineage from day one.

PETL Modeler

Fabric-native modeling, synthetic design

Designs star and snowflake schemas a Power BI semantic model can sit on directly. Iterates on a synthetic copy of your data with expert feedback, then generates the PySpark or T-SQL that stitches Silver to Gold.

PETL Pipeline

Fabric orchestration, governed promotion

Builds the physical Silver and Gold layers in Fabric, applies validation at every hop, and promotes from QA to Prod through Fabric deployment pipelines under OneLake security and Microsoft Purview governance.

Copilot Deployment Reality

Turned on Copilot and got answers you cannot trust?

You are not alone. Copilot in Fabric, Fabric data agents, and every natural-language interface on the Microsoft stack only work when the foundation underneath them is right: well-modeled Gold tables, a clean semantic model with real business definitions, and the kind of metadata enrichment that lets an LLM answer like an analyst rather than guess. New DAIS specializes in standing these up and tuning them until business users actually trust the answers.

Why New DAIS for Microsoft

A 25-year engineering legacy, applied to the modern stack.

Our team has spent decades designing and building data warehouses and analytics platforms for enterprises from mid-market through Fortune 100, across every era of the stack: on-prem classic warehouses, dedicated appliances like Netezza and SAP HANA, SQL Server and SSIS estates, and now distributed cloud architectures like Microsoft Fabric. The same rigor goes into every Microsoft engagement.

speed

Speed by design

Initial Fabric platform and Power BI reporting delivered in weeks, not 6-12 month programs.

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Governed & secure

Deployed in your Azure tenant with OneLake security, Microsoft Purview, Entra ID access control, and full auditability.

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Engineered for value

Each agent encodes decades of data engineering expertise, at a fraction of legacy consulting cost.

The Engagement

How a Microsoft engagement runs.

An iterative, collaborative approach. We work directly alongside your team at every stage.

STEP 01

Architect & Deploy

Design the platform and stand up Fabric capacities, workspaces, and OneLake in your Azure tenant with governance and security in place.

STEP 02

Scope & Profile

Identify the initial scope; run requirements workshops and data profiling.

STEP 03

Migrate & Model

Agents build governed Fabric pipelines and the Fact / Dimension data model, then the semantic model with the business enrichment Copilot needs.

STEP 04

Report & Activate

Ship Power BI reports and conversational analytics, deploy the first Foundry and Copilot Studio agents, train users, and hand over.

The Bridge is Built

Ready to put Azure and Fabric to work?

Talk directly with our founding partners about migrating your data to Microsoft Fabric and deploying autonomous AI agents on top of it.

See our agents