Top 10 Challenges for Scaled AI
Vision & Strategy
Having an AI Vision & Strategy is a key element for successful AI adoption
Defining how you wish to leverage the capabilities of Artificial Intelligence across your organisation is important to determine before you get too immersed in the details of building various proof-of-concepts. Ensuring the use of AI aligns with both your business and technology strategy will greatly improve delivery success.
We have supported clients with AI strategies, highlighting areas of innovation for differentiation, as well as defining technology roadmaps for AI adoption.
Process & Control
The workflow processes for AI projects are very different from standard IT projects.
Not only is the process workflow different for AI projects but the organisation structure will also need to be changed to improve the ways in which these new decision making tools are monitored and governed to ensure risk, audit and compliancy rules and regulations are adhered to.
We understand that success is not secured just by understanding the technology. We focus on all aspects that impact project delivery performance and we have developed our own 4 P’s implementation framework that helps us manage and mitigate any delivery risks.
Moving from Innovation use-cases to scaled delivery required a number of factors to be considered
Deploying AI at scale, in a consistent and reliable way, requires not only correctly setting up the technology landscape but also ensuring the processes, controls, skills, and governance are optimally configured.
We support clients with all phases of their adoption of AI technologies, from early discovery and innovation through to enterprise-wide scaled AI deployments.
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Adoption of AI Capabilities