SOFTWARE DELIVERED SOLUTIONS
AI Adoption
"AI is more than just a buzzword - it covers a myriad of new tools that you can apply to your data and empower your people to gain a competitive edge."
AI adoption requires more than just the adoption of new technology - it is about using innovative tools and techniques to identify problems previously too challenging to overcome or opportunities previously too hard to grasp.
We specialise in helping businesses unlock this potential, through the application of software delivered solutions. With our expert knowledge of the latest AI tools and trends, we can help you to navigate the complexities of adoption to deliver measurable value for your organisation.
Identifying High-Impact Use Cases
We help you to pinpoint the areas where AI can deliver the most value to your business. By evaluating your existing processes, data, and challenges, we identify practical use cases for AI that align with your strategic goals and deliver quick wins to drive adoption momentum.
Local LLM Deployment
For organisations seeking the flexibility, privacy and cost benefits of local AI solutions, we specialise in installing and customising local Large Language Models (LLMs). This ensures that your sensitive data remains secure, while still benefiting from the efficiencies and insights that AI provides, tailored specifically to your organisational context.
Tool Selection and Strategic Application
The AI landscape is evolving rapidly, and choosing the right tools is critical. We guide you in selecting cost-effective, high-performing tools from the array of options on the market. Our expertise lies in keeping up-to-date with the latest advancements in generative AI, ensuring that your AI toolkit is both cutting-edge and strategically aligned with your business needs.
Organisational Readiness and Capability Building
Successful AI adoption requires not only the right technology but also an organisational culture that is ready to embrace it. We work with you to build your AI-readiness by aligning teams around data-driven decision-making, fostering a culture of experimentation, and developing the skills required to use AI tools effectively.
