The Challenge
Asylum and border caseworkers operate in a high-pressure environment, required to assess lengthy interview transcripts and complex policy documentation to make accurate, defensible decisions. Manual review processes were time consuming, cognitively demanding, and risked inconsistency across cases.
The organisation needed secure, scalable AI solutions that could improve productivity and decision quality while meeting stringent security, architectural, and governance standards.
OB Collective's Role
OB Collective assisted in the solution architecture, technical design, and assurance for a suite of AI-enabled decision support capabilities. Working directly with senior architecture, security, delivery, and policy stakeholders, we translated operational needs into build-ready, compliant architectures aligned to a digital first strategy.
Solutions Delivered
Asylum Case Summarisation (ACS)
An AI-powered application that summarises lengthy asylum interview transcripts using Azure OpenAI GPT-4.
Reduced caseworker reading time and cognitive load
Improved contextual understanding and decision quality
Designed for rapid delivery with a clear transition to strategic platforms
Asylum Policy Search (APS)
A secure, natural-language policy assistant enabling caseworkers to query large volumes of policy documentation.
Faster access to relevant policy guidance
Improved consistency and defensibility of decisions
Full auditability via document identifiers and embeddings
Digital Custody & Case Management (DCCM)
Architecture and delivery support for Power Platform–based case management solutions using Dataverse, Power Apps, and Power Automate.
Advanced Analytics & Anomaly Detection
Designed AI and data science solutions using Isolation Forest, DBSCAN clustering, and Gower Matrix analysis to identify trends and anomalies across sensitive datasets.