· Data & AI · Business Applications · Cloud Migration · Dynamics 365 · AI Capabilities & Automation

AI Business Solutions

Enterprise workloads infused with AI, Copilot, and automation across sales, service, and operations.

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Cloud & AI Platforms

Enterprise data platforms, modern app innovation, Azure infrastructure, and automated quality engineering.

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Cloud & AI Platforms

Get off aging SQL Server without breaking month-end.

We move your data to Microsoft Fabric and Power BI in planned waves, keep the reports your team relies on running, and get AI working on data you trust.

Where you are

You know where you want to go. Your data isn't there yet.

Most data teams we meet are dealing with at least one of these.

01

SQL Server 2016 support ended in July 2026, and 2017 follows in October 2027. Extended Security Updates only buy time.

02

Reports are stitched together by hand from systems that don't talk, or still run on Tableau, Qlik or Synapse.

03

Leadership is asking about AI, and you're not sure your data is ready for it.

04

Month-end close can't slip. Whatever changes, the reports your analysts depend on have to keep working.

Microsoft workload

Data Platform

Microsoft Fabric · Power BI

One platform for data engineering, warehousing and reporting, with Power BI on top and a single copy of your data underneath.

How Baadalsoft does it

01

Map it first

We inventory your sources, pipelines and reports before anything moves, so nothing important gets lost on the way.

02

Move in waves

SQL Server, Synapse, Tableau and Qlik workloads come over in planned waves, scheduled around your close calendar.

03

Leave it with your team

Your analysts and engineers build with us, so they own the platform once it's live.

AI in this workload

AI on your data

Copilot in Power BI · Fabric data agents

AI answers are only as good as the data behind them. Copilot and data agents need a clean model, shared definitions and the right permissions.

How Baadalsoft does it

01

Get the model right

A semantic model and business definitions your teams agree on, so the same question gets the same answer.

02

Set the guardrails

Security and access are in place before anyone turns Copilot on.

03

Start with one question

Pick one real business question, answer it with AI on your data, then widen from there.

Building a custom AI app or agent on Microsoft Foundry or Azure OpenAI? That work lives on Digital & App Innovation.

How we engage

Design, Build, Run

One route from plan to production. Each stage tells you what happens next.

01

Design

We learn how your business runs today, then agree on where to go and how to get there.

Engagements · Assessment

02

Build

We prove it works on your data, then build it with your team and take it live.

Engagements · Proof of Value · Implementation

03

Run

We keep it healthy in production, measure what changed, and plan the next climb.

Engagements · Managed Services

Capability examples

What changed for our clients

The kind of work this looks like. No client names until a story is approved.

Capability 01

Five data sources, one platform

Donor, payment, finance and program data brought into Microsoft Fabric, with board reporting from one source.

Capability 02

Tableau dashboards rebuilt in Power BI

Reporting moved to Power BI on a Fabric lakehouse, including live dashboards used during events.

Capability 03

Pipelines in place of exports

Scheduled pipelines replaced spreadsheet exports, so reports refresh without anyone stitching them together.

Let's talk

Tell us where your data lives today.

Pick a time that works for you. We'll ask a few questions about your goals, then suggest a sensible first step.

Microsoft Solutions Partner · Data & AI (Azure) · Digital & App Innovation (Azure)