Digital Transformation Program
Challenge
ATI needed to modernise job management across its Insurance Programs as part of a wider digital transformation. Existing processes lacked the structure, intelligence, and scalability required to support efficient operations and data-driven decision-making.
Our thinking
We recommended a pragmatic, AI-enabled approach — combining a hands-on software trial with the definition of a clear ERP blueprint. Alongside this, we identified opportunities where AI could enhance job classification, workflow optimisation, and decision support. This ensured ATI could evaluate systems not just on features, but on their ability to support smarter, more adaptive operations.
Execution
Matchbox provided technical and AI-focused leadership across analysis, scoping, and planning. We led a structured software trial, incorporating AI-driven insights to assess system suitability and workflow efficiency. We developed a streamlined ERP job-management blueprint, embedding opportunities for AI-powered automation such as: • Intelligent job categorisation and routing • Predictive workflow optimisation • Enhanced reporting and decision support We also defined detailed functional and non-functional requirements, ensuring the future platform could support AI integration and ongoing evolution.
Outcome
ATI gained clarity on the right job management approach, underpinned by a future-ready, AI-enabled blueprint. The result is a structured plan that not only improves efficiency and scalability, but also lays the foundation for more intelligent, data-driven operations.