The method gets picked around the problem, and it ships with the checks needed to run it safely. A model on its own is not a product.
Controls: source citation, access rights, human review of uncertain cases.
Find, summarise and extract information from business documents, while keeping the source and access rules attached to every answer.
See it in Document Extraction and Knowledge Search
Controls: baseline comparison, held-out evaluation, drift monitoring.
Predict demand, failure, churn, fraud or other outcomes where history is a reasonable guide to what comes next.
See it in Demand Forecast and Anomaly Detection
Controls: constraint validation, scenario tests, comparison with the current plan.
Investigate patterns, test hypotheses and compare better choices within real business constraints.
See it in Plan Optimisation
Controls: schema checks, logging, retries, approval steps.
Collect and model the data a capability needs and connect the result to the systems where people work.
See it in Decision Automation
We prepare only the governed data this first job needs, in your existing cloud and data environment where suitable. A migration only gets recommended when it solves a real constraint.
