Latest Advisory

Navigating the 2025 Microsoft Enterprise Agreement Reset
Microsoft is ending volume discounts on Enterprise Agreements to fund AI investment, forcing executives to shift from price negotiation to value management and governance.

Navigating the 2025 Microsoft Enterprise Agreement Reset
Microsoft is ending volume discounts on Enterprise Agreements to fund AI investment, forcing executives to shift from price negotiation to value management and governance.

Architectural Considerations for Generative AI Systems
Strategic architectural planning can optimise generative artificial intelligence (genAI) solutions for scalability and efficiency.

Enterprises Need AI Systems, Not Chatbots
To truly harness the transformative power of artificial intelligence (AI), enterprises must shift their focus from standalone AI applications to comprehensive AI systems that are deeply integrated into their existing workflows and processes.

Best Practices for Deciding On & Implementing Microsoft Fabric
Organisations can streamline data operations and enable advanced analytics with this unified platform.

Large Language Models as an Integration Layer in Enterprise Applications
Embracing large language models as an integration layer can enable enterprise application development by providing a natural language interface between diverse systems, APIs, and human users. This approach allows seamless data flow, intuitive user experiences, and rapid prototyping of complex applications, dramatically reducing development time and costs while opening new avenues for innovation and process optimisation across the organisation.

Achieving ICT Project Prioritisation
Unlock the secrets to successful ICT project prioritisation with a proven framework.

Mitigating AI Bias for Equitable AI in the Enterprise
Artificial intelligence (AI) bias threatens to undermine the fairness and effectiveness of enterprise AI solutions. We examine key types of AI bias, their real-world impacts, and practical mitigation strategies – focusing on examples from Australia, New Zealand, and India. Learn key approaches to develop more equitable AI systems that serve diverse populations and unlock the full potential of AI for your business.