Calab.ai partnered with one of Australia’s largest energy providers to overhaul its complaints management system using the NeuralOps platform. By automating complaint classification, prioritisation, and trend analysis, the solution reduced resolution times, lowered operational costs, and enhanced customer satisfaction. This transformation shifted the complaints process from a reactive cost centre to a proactive, strategic asset, enabling the provider to address issues more effectively and build a foundation for future AI-driven innovations across the enterprise.

Calab.ai partnered with Singlife to enhance their operational efficiency through AI and automation solutions, while enabling a future-ready cloud infrastructure. Our team delivered ongoing support across a suite of live automation processes—ensuring performance stability, incident responsiveness, and continuous optimisation aligned with evolving business needs. In parallel, we led the seamless migration of Singlife’s automation environment to the cloud, using infrastructure-as-code to boost scalability, resilience, and maintainability. These initiatives empowered Singlife to reduce operational friction, increase solution reliability, and establish a robust platform for future AI-driven innovation.

Calab.ai partnered with UniSC to digitise and streamline their mandatory requirements processes for student compliance - unlocking significant operational and engagement benefits. By replacing manual reporting with intelligent automation, the university now saves over 500 hours annually. Compliance report generation has been accelerated by 95%, enabling faster resolution and response times. These efficiencies have driven down operational costs while also enhancing the student experience - resulting in improved engagement, satisfaction, and support throughout the compliance journey.

Calab.ai partnered with PlusES to demonstrate how Generative AI could improve operational efficiency and quality assurance in service report auditing. By automating the review of field service implementation documentation and image data, our Proof of Value enabled faster identification of compliance issues, enhanced feedback loops, and reduced the need for costly revisits. The solution introduced AI-driven analysis that allows for the ability to perform real-time compliance, proactive technician feedback, and a scalable architecture for future automation use cases. This engagement helped embed foundational GenAI capabilities across the business, accelerating PlusES’s transformation toward intelligent field operations.

Calab.ai partnered with AACo to demonstrate how artificial intelligence could elevate operational decision-making. Through a focused Proof of Value, we applied predictive modelling to enhance the cattle drafting process using MEQ (Meat Eating Quality) data. By integrating early-stage marbling scans with AI-generated recommendations, AACo now benefits from faster decision-making, improved analytical modelling, and a more consistent approach to aligning cattle with premium market channels. This engagement set the stage for scalable AI adoption through Calab.ai’s NeuralOps framework.

Calab.ai transformed operations at Australian Catholic University by digitising manual workflows, integrating AI, and deploying intelligent automation—unlocking over 12,000 hours in annual efficiency gains. By connecting siloed systems and embedding real-time monitoring, Calab.ai helped ACU reduce costs, optimise resources, and future-proof its enterprise operations.