AI Operational Intelligence

Root cause
in seconds,
not days.

Your operations teams aren't short of intelligent people. They're short of time. I build AI tools that investigate why KPIs move — so your experts spend time deciding, not digging.

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10
KPIs live in production
<10s
Root cause, any question
1
Live NHS client, expanding
Live investigation — warehouse stock KPI
The builder

A decade of
operational data
experience.

I build AI-powered operational intelligence tools for industries where data is abundant, but applying the insights is resource intensive. My background in mechanical engineering and railway operations consulting is what makes the AI trustworthy — the decision logic comes from domain knowledge, not statistics.

Eleanor Hospital Logistics — 2 years
Built and delivered the AI KPI Intelligence Platform currently live in production — automating 10 supply chain KPIs across NHS Trusts in London and providing real-time root cause investigation for the operations team.
SYSTRA Norge — Engineering Consultant, 6 years
Procurement of 200 new passenger trains for Norway. Spare parts logistics systems. Railroad maintenance machine procurement for Oslo Metro and Oslo Trams.
Taylor Airey & SGS — Rail Franchise Consulting
Maintenance and stabling strategy. Class 700 train procurement. Railway franchise mobilisation. ERA European Interoperability Analysis.
MEng Mechanical Engineering
The engineering mindset — make things work, then make them work better — is the foundation of every product I build.
"Maxie Earle has done an outstanding job in developing a cutting-edge platform that has exceeded our customers' expectations. His expertise in creating a visually stunning platform, combined with powerful data analysis tools, has truly impressed. His work has significantly enhanced our ability to present and interpret data, making it both accessible and impactful. Maxie's innovation and dedication are evident in every detail of the project."
Graham Walsh — Managing Director, Eleanor Care
10
KPIs automated
<10s
Avg. investigation
100%
Reasoning visible
Industries

Built where I have
worked.

The platform is live in healthcare supply chain. The same framework — connect data, encode operational logic, investigate in seconds — applies to any industry where KPI reporting exists but root cause doesn't. Railway operations is the natural next step.

🏥
Healthcare Supply Chain
Live in production · NHS Trusts · Hospital Logistics
Supplier warehouse replenishment fulfilment
Warehouse stock levels and expiry risk
Hospital department fulfilment rates
First choice product availability
Emergency delivery frequency and response time
PAR level alignment across departments
🚆
Railway Operations
Framework ready · Examples of applicable KPIs
On-time performance and delay attribution
Asset reliability and maintenance compliance
Incident frequency and root cause classification
Contractor performance against SLAs
Possession planning and delivery accuracy
Safety observation and near-miss trends
How it works

Three steps from
data to insight.

No rebuilding your data stack. No retraining your team. The platform sits on top of what you already have.

01
Analyse your data
We connect to your existing data — BigQuery, your current reporting stack. We map your KPIs, understand your data structure, and identify where the investigation gaps are. No migration, no disruption.
02
Build the decision matrix
We encode your operational logic — the cause-and-effect rules your best analysts already know — into a structured decision matrix. This is the intelligence layer that makes the AI trustworthy, not just plausible.
03
Watch the AI save you time
Ask any question in plain language. The AI queries your live data, tests each cause against the decision matrix, and delivers a transparent root cause conclusion — in seconds. Your team spends time deciding, not digging.
Now expanding

Proven with one client.
Now building the next.

The platform is live. The framework is proven. I'm now looking for the right second client — in healthcare supply chain or railway operations — to build with.

Thank you — I'll be in touch shortly.

No spam. Just a conversation about whether this is relevant to your operation.