Techniques

A technique is the generic method. It is deliberately thin. The real guidance lives in the targeted solutions, because the same technique applied to a different business problem is a different solution.

• Anomaly Detection AIUnsupervised methods that surface cases which deviate from an established norm without needing labelled examples.Applied in 6 solutions
• Graph Analysis AIModelling the network of shared entities between records to expose coordinated activity that looks unremarkable case by case.Applied in 2 solutions
• Language Model Text Classification AIA language model pretrained on large amounts of text and fine-tuned on labelled examples so it can assign a category or a probability to a new free-text document.Applied in 2 solutions
• Predictive Modelling on Sensor Data AIA model trained on historical sensor or telemetry streams that estimates how likely a monitored asset is to fail within a defined horizon.Applied in 1 solution
• Random Sampling and Review No AIDrawing a random sample of cases, examining each one in depth, and using the findings to estimate how often a problem occurs, why, and how much it costs across the whole population.Applied in 1 solution
• Retrieval-Augmented Generation AIA large language model that answers or drafts text grounded in documents retrieved from an organisation's own knowledge base at the moment of the request.Applied in 3 solutions
• Rules Engine No AIDeterministic if-then logic that flags cases matching a pattern someone has already described.Applied in 12 solutions
• Statistical Time Series Forecasting No AIClassical methods such as exponential smoothing and Croston's method that project a single series forward from its own level, trend, and seasonality.Applied in 1 solution
• Supervised Learning AIA model trained on historically confirmed outcomes that scores new cases by their similarity to past examples.Applied in 8 solutions