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AI & data
Document intelligence, classification and analytical tooling applied where the volume of manual reading is the actual bottleneck. We ship AI where it can be verified and reviewed — not where it is merely impressive in a demo.
Discipline Scope
3 Architecture Pillars
Delivered System
Oxygen
Pivot irrigation management
Core Pillars
Architecture Pillars
The best AI projects are unglamorous: turning thousands of unstructured documents into structured records.
If a model's output cannot be checked, it cannot be trusted with a financial figure.
Dashboards that nobody opens are decoration. We build the view that answers a specific recurring question.
Deliverables
Concrete artefacts handed over with the repository.
Process
We quantify the manual work first — hours, volumes, error cost. If the numbers do not justify it, we say so.
A rules-based version usually beats a model on structured input. We establish the baseline before adding intelligence.
Models are introduced on the steps where they measurably outperform rules, behind an interface that keeps them swappable.
Accuracy is measured on a held-out set, and low-confidence output is routed to humans rather than silently accepted.
Evidence
Questions