Fabric · Power BI · Automation · Integration · AI · Agents

AI is the easy part. The data underneath isn't.

For mid-market companies that need cleaner data, automated reporting, and practical AI readiness.

Most companies aren't ready for AI the way they think they are. Your reports disagree. Your team is rekeying data. Your CFO doesn't trust the dashboard. The value lives one layer down. It's in automation and integration, the foundation AI actually runs on.

Built by a CPA + CEPA with 25+ years across finance, ops, and IT. 70+ acquisitions analyzed across $548M+ in capital deployment, 100M+ rows in production.
Start with a 2-week Data & AI Readiness Assessment See what we build
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Microsoft Fabric Power BI Power Automate Azure Data Services Medallion Architecture Copilot Studio Dataverse SharePoint Microsoft Fabric Power BI Power Automate Azure Data Services Medallion Architecture Copilot Studio Dataverse SharePoint
Where most engagements start

Start with a 2-week Data & AI Readiness Assessment.

Fixed scope. Clear roadmap. No long-term commitment.

See what's included
The state of play

Most companies aren't AI-ready. They're not even reporting-ready.

Before any AI initiative delivers value, the data underneath has to actually work. Most of the time, it doesn't.

87%
of AI projects never make it into production.
Gartner
$12.9M
average annual cost of poor data quality per organization.
Gartner
9/10
acquisition targets we evaluated had data infrastructure that wasn't ready to support the business.
Practitioner observation · 70+ deals
3x
more time wasted on data preparation than on actual analysis.
Forrester
Most consultants sell the wedding.
We build the house.

When I talk about AI with clients, I usually mean automation and integration. Because here's the truth: most companies aren't ready to use AI the way they think they are. But almost every company gets enormous value from connecting their systems and automating the manual work that's draining their team.

That foundation (connected systems, automated workflows, reliable reporting, a single source of truth) is the unglamorous part. It's also the part that determines whether the AI work built on top succeeds or quietly falls apart eighteen months in.

We build that foundation. Then we layer on the dashboards, AI copilots, and AI agents that take action on your behalf. All of it built on Microsoft's Fabric, Power BI, and Azure stack, because it's the most defensible platform for businesses that need to scale without locking themselves into something brittle.

You might be here because

Something in your business isn't working the way it should.

/01
Your reports disagree with each other, and nobody can say which one is right.
/02
Your team is rekeying data from one system to another, every week, forever.
/03
Your CFO doesn't trust the dashboard. Or you don't have one.
/04
Board pack night is a three-day fire drill in Excel.
/05
You acquired companies and now you have five ERPs and zero answers.
/06
Your board is asking about AI, and you don't know what to tell them yet.
/07
You're 12 months from a sale and the data room is going to be a mess.
/08
AR is creeping up, AP is manual, and nobody has time to fix it systematically.
Define by contrast

What this isn't.

Chatbot demos.
Production systems that actually run work.
Dashboard theater.
Reporting your CFO can put in front of the board.
AI strategy PDFs that sit in a folder.
Phased roadmaps with cost, timeline, and the first thing to build.
Ten-person consulting teams running up the bill.
A senior practitioner, in the work, accountable for the outcome.
Rip-and-replace transformations.
The tools you already own, finally talking to each other.
What we build

Six core services. Plus the one everyone's asking about.

01
Data Foundations
Microsoft Fabric, medallion architecture, and a single source of truth your team can rely on.
02
Executive Analytics
Power BI dashboards your leadership actually uses. Not the ones that sit in a folder unopened.
03
Process Automation
Power Automate, Logic Apps, and custom workflows that eliminate the manual work draining your team. Usually the fastest ROI of any engagement.
04
System Integration
Connect ERP, CRM, operations, and finance into one layer that talks to itself. The foundation almost every other engagement depends on.
05
AI Readiness
Data quality, governance, and the foundation any meaningful AI initiative actually requires.
06
AI Implementation
Copilot deployments and custom AI built on your operational data. Not on slideware.
How we work

No decks. No deliverable theater. Just working systems.

/01 LISTEN
Discover
A real conversation about your business, your data, and the operational gaps that matter. Thirty minutes. No pitch.
/02 MAP
Diagnose
An honest audit of your current data, systems, and reporting. Where the gaps are, what's worth fixing, and what isn't.
/03 BUILD
Deliver
We build the foundation, dashboards, automations, and AI capabilities. Phased, tested, and operational from day one.
/04 OPERATE
Sustain
Train your team, hand off, or stay on as ongoing partner. Your call. Either way, what we build keeps working after we leave.
First engagement

Two weeks. A straight answer.

Most companies want to know two things before they hire anyone: where are the gaps, and what's the first thing to build. We answer both in two weeks. Fixed scope, fixed fee, no further commitment required.

Book a 30-minute call
/ What we look at
  • Your source systems, data flows, and current reporting
  • The 3-5 places automation would return the most time
  • The realistic AI use cases, and the ones that need to wait
  • The shape of the foundation that needs to be in place first
/ What you walk away with
  • A written assessment of where your data and systems stand today
  • A prioritized roadmap: what to fix first, and what it costs
  • An honest answer on AI readiness. No consultant theater
  • A board-ready summary you can use as-is
Proof

What happens when the foundation gets fixed.

Vital Records Control · M&A
3 weeks2 hours
Acquisition due diligence
Power BI data models mapped every acquisition target's chart of accounts to the buyer's. Diligence that took two to three weeks dropped to about two hours: remap the accounts and the add-backs line up. The board then asked for the same treatment company-wide. Azure databases and APIs now pull every operating system into one automated Power BI environment the CEO, C-suite, and operations managers run the business from daily.
Foundation → visibility → daily operations
Third-Party HR Administration
2 weeks5 minutes
Provider invoice reconciliation
Benefits provider invoices had to be reconciled against client collections every month, a process so complex it consumed two weeks. Everything now lands in a Microsoft Fabric environment where the data is cleaned and matched automatically, and a reconciliation file is generated in SharePoint for every client, every month.
Live in production
Tire Retail & Service
DSO, watched & falling
One data foundation, then collections
Disparate systems are being unified into a single data foundation. First build on top of it: real-time DSO monitoring with automated collection notices, so nobody has to chase aging invoices by hand and leadership watches receivables move from the dashboard.
In progress · foundation first, then everything else
The stack

Built on the most defensible platform for Microsoft-centric companies, with a clear path for everyone else.

Microsoft Fabric
Unified data foundation
Power BI
Dashboards & board reporting
Power Automate
Workflow automation
Azure Data
Cloud data pipelines
Copilot Studio
Custom AI agents
Dataverse
Structured data layer
SharePoint
Docs & collaboration
Logic Apps
System integration
SQL Server
Relational data engine
Synapse
Analytics at scale
Dynamics 365
ERP & CRM
Azure OpenAI
LLMs on your data
Why Microsoft

Because you already pay for it.

/01
It's already in your business
Almost every mid-market company already runs Microsoft 365, Teams, SharePoint, and Outlook. Building on the same stack means lower licensing cost, smaller integration surface, and faster adoption. Your team already knows how to use it.
/02
Enterprise-grade security, mid-market price
Microsoft's identity, permissions, and data governance model is what big banks and federal agencies use. It comes built in. You don't have to bolt on a separate security platform to make your data work safe.
/03
The AI roadmap is funded
Copilot, Fabric, Azure AI Foundry, Power Platform. Microsoft is investing tens of billions a year in this stack. Building on it means you're aligned with where enterprise software is going, not where it was.
/04
No vendor lock to a startup
Modern AI tools come and go. Microsoft is going to be here in ten years. Building your operational foundation on Fabric and Azure means you're not betting your business on a vendor that might pivot, get acquired, or sunset their product line.
The practitioner

Most businesses don't need more AI hype. They need someone who'll show up, listen, and build the working systems they should've had years ago.

James Miller, CPA · CEPA
Founder, Motion AI Systems
$548M+
In acquisition capital
supported
70+
Acquisitions
analyzed
100M+
Rows in production
data model
25+
Years in finance, ops,
IT & accounting

Let's see if there's a fit.

Send a quick note about what's slowing your team down, or put thirty minutes straight on the calendar. No pitch deck, no proposal pressure. Just an honest conversation about whether Motion AI Systems is the right team to help, and what the first step would actually look like.

Based in Memphis, TN · Working with mid-market companies across the US · 901-406-5117