Generative AI has moved from being a curiosity to becoming a practical force shaping how we work, how our clients operate, and how society adapts to new possibilities. At Integral, we’ve spent the year not just observing this shift but actively driving adoption across our organisation and with our clients.
Internally, we’ve built capability with structured training programs, clear usage guidelines, and access to the right tools. The goal has been simple: use AI responsibly to accelerate delivery and enhance quality, while ensuring human expertise remains at the centre of client outcomes. This balance of speed without sacrificing judgement, has defined our approach.
Helping Clients Navigate AI Readiness
Across industries, we’ve seen a surge in interest as organisations begin their AI readiness journey.
For Camp Australia, that meant piloting Microsoft 365 Copilot with a targeted assistant designed to simplify staff access to large policies, and corporate documents. The real challenge wasn’t the retrieval solution itself but integrating with the authentication and authorisation systems that govern access across multiple Camp Australia sites. It’s a reminder that successful AI projects demand strong integration skills as much as clever algorithms.
At Dahlsens, the focus was on enabling staff with an assistant that could surface corporate documents, business and IT policies, marketing material, product information, and even handle simple IT ticketing. These practical use cases show how AI can remove friction from everyday tasks while improving organisational efficiency.
Data: The Foundation for AI Success
As adoption grows, clients are recognising that AI readiness starts with data. Governance, quality, and engineering are no longer back-office concerns, they’re strategic priorities. This year, we supported deployments of platforms designed for AI workloads, including our first OpenShift AI implementation and the adoption of Azure’s AI stack at another client. These moves signal a shift from experimentation to enterprise-scale capability.
Building Skills for the AI Era
Technology alone isn’t enough. People need to know how to use it effectively. That’s why we ran a masterclass on prompting at Something Digital, helping teams unlock the potential of generative AI tools. We also explored the changing landscape of digital visibility: as traditional SEO loses relevance, new techniques like AEO and GEO are emerging. Our webinar on these trends helped clients stay ahead of the curve in an environment where search and discovery are being reshaped by AI.
This year has been about laying foundations, technical, organisational, and cultural, for an AI-enabled future. The work isn’t finished, but the trajectory is clear: generative AI is no longer a side project. It’s becoming integral to how businesses operate and compete.
