AI Strategy

2023 was dubbed the “Generative AI Breakout Year” due to its demonstration of AI’s potential as a general-purpose technology, automating critical information processing and decision-making tasks for businesses.
The journey towards adopting AI in business environments has evolved from implementing classic statistical models and reinforced machine learning, to now utilising transformer-powered Large Language Models, which lower the barrier to access for many organisations that may not be data-ready or technology-ready in the traditional sense.

Common Challenges

Leadership teams globally often view the AI wave with both excitement and anxiousness.
Despite the clear potential offered by the latest generation of AI technology, five common concerns persist:

Readiness

Do organisations possess the necessary resources to start AI transformation? Identifying gaps and strategies to bridge them is essential.

Business Case

Assessing the total cost versus the benefits of AI transformation can be complex, especially with rapid technological advancements and fluctuating compute costs.

Goals & Priorities

Should the priority be using AI to enhance products or to streamline business operations?

Governance and Risk

Managing potential mishaps is vital. Understanding the risks and their impact on the business’s overall risk profile is crucial.

How we can help

Strategic Alignment:

We collaborate with you to clearly articulate or refine AI goals, ensuring alignment with your overarching business strategies.

Readiness Assessment:

We perform a thorough assessment of your organisation’s data availability, processes, tooling, and personnel capabilities to pinpoint any discrepancies between current capabilities and AI objectives.

Business Case & Roadmap:

Together, we develop a comprehensive business case for your AI ambitions, establish clear priorities, success measures, and formulate a roadmap with stakeholder support.