Case studies

Efficiencies through machine learning

An international insurer required a review of their product disclosure statements (PDSs) portfolio for the Unfair Contracts Terms regime in less than 18 months. A machine learning (ML) solution, analysed, pattern mapped, processed and spotted anomalies in over 315,000 clauses in minutes. The solution eliminated over 850 hours of data processing, reduced costs and errors.

Speed, accuracy and reputation

A large multi-national property, infrastructure and construction firm's remediation project involved reviewing over 1,000 lots in six months to determine whether residents were eligible for compensation (i.e. payout of buyback). Speed, accuracy, multiple stakeholder management were paramount. We assisted with the operationalisation of the scheme by designing and supporting the delivery of the program, including working with the legal team to complete Settlement Deeds. This freed up the client's staff to spend time more time with clients and stakeholders.