Insight
Read → Draft → Stage → Write
Before connecting AI to SharePoint or a CRM, decide which of four actions it may take. That boundary sets the controls, ownership and acceptance checks.
Where AI and data actually help
Independent, senior advice for Microsoft-based organisations in South East Queensland, so you know which AI and data work is worth doing, and what to do first.
What we do
You may have artificial intelligence (AI) experiments scattered across the business, reports that people do not quite trust, and a list of possible projects with no clear priority.
MDE helps Microsoft-based organisations decide where AI and data will genuinely add value, with human accountability and a clear, sustainable next step.
Rory McCluskey does that work himself, so you deal directly with the person doing it, including when the answer is to do nothing yet.
Ways to work with MDE
Start with a Discovery Review to clarify what is happening, which choice matters and who owns the next step before further spend. When that next step is clear, MDE can help you design, deliver, help your team adopt and sustain an agreed approach, or provide ongoing assurance.
- See what’s involved
Discovery Review Start here
A first step to clarify what is happening, which choice matters and who owns the next step before further spend.
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Design Sprint
The decision is made. This turns it into a plan with options, owners and a first step.
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Delivery Sprint
For when a recommendation has to become a working outcome, with scope, ownership and handover agreed up front.
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Workshop, Training & IP
Help your team adopt an agreed approach, use it well and sustain the intended benefit without relying on MDE to keep it working.
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Embedded Advisory & AI Assurance
A regular senior view on architecture and AI decisions, for organisations that do not need a full-time hire.
Our approach
How we partner
Each step is transparent, evidence-first and limited to what you actually need.
- Step 1
Review goals and systems
Review the goals, current systems, constraints and owners so the work targets the real problem.
- Step 2
Design the path
Set out the options, the evidence behind them and the acceptance checks, then agree the next practical step.
- Step 3
Deliver & evolve
Where delivery follows, move in small, agreed increments, keep the evidence visible, and hand over so your team can sustain it.
Insights
Evidence before advice.
Notes from Rory McCluskey, MDE’s Principal Consultant / Enterprise Architect, on the evidence behind Microsoft, data and AI decisions.
Fact
A Clean Dashboard Can Still Be Built on Broken Joins
Reporting trust depends on grain, coverage, and reconciliation, not visual polish.
Recommendation
How to Prove a Data Platform Without Touching Client Data
A credible data-platform demonstration can start with openly licensed data, provided the evidence is real and the limits are explicit.
Technology ecosystem
Capability areas
Background detail on the platforms and practices MDE works across. The offers above are the simplest way to start.
Not sure whether the platform is really the problem?
Bring the decision you are facing, the systems involved and the risk you want to reduce. If the platform is not the problem, you will hear that too.