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AI has become ubiquitous across many technologies and organisations. However the rapid development of AI technologies has rendered it essential for organisations to understand the strategies needed to achieve excellence in AI implementation. Identifying the areas with the biggest potential to enhance AI utilisation, and the policies and principals needed to establish AI capabilities are major challenges for many organisations. Operationalising AI requires more than determining what pain points can be eliminated using AI. It requires focus and investment across multiple domains – data, strategy, product and service development, ethics and governance, technology, and organisation and culture. Each domain should be designed help organisations understand and prioritise the actions that will have the greatest impact in their unique context.
Our proprietary AI Maturity Assessment tools help organisations:
Cross domain AI Maturity Assessment using our proprietary AI Assessment Tools.
Identifying strengths and weaknesses and exploitable vulnerabilities.
Assessing AI business risk with mitigation strategies and their implications.
Guidance on the implementation of policies and procedures to advance AI maturity.
Identifying governance implications of any current or planned A/IS work.
Identifying likely future A/IS initiatives and trends, and the changes to be considered or made as they appear.
Evaluate – volume, quality, accessibility, and representativeness of data; criteria for data modelling and algorithmic development; data cleansing and consolidation; data management and security; data operations; data continuity planning; and data auditing.
Assessment of reliability, safety, trustworthiness, and accountability challenges; principles for AI governance; AI ethics and governance practices; risk management of model bias and model drift; metrics for tracking governance; and compliance to legal and regulatory aspects of data processing.
Evaluate AI product management practices; strategies for mitigating unwanted bias; methodology, standards and other technical and data related documentation that support the development of new AI products; and strategies for iteration and measuring the success of AI products.
Evaluation of prevalence of AI across the organisation; horizontal and vertical alignment; AI business’s strategy and ambitions; and leadership’s desired velocity for AI progress.
Assess tools, infrastructure, and workflows needed for driving AI across the solution lifecycle.
Evaluate AI literacy; talent strategy; operating models; job skills and resources; and organisational AI leadership.
During a Client engagement our Consultants pass through six key phases that form the anatomy of how we manage a typical consulting project. We appreciate every assignment is different, so we have flexible processes in place to bring our experts onboard quickly and effectively without disrupting existing work programmes. We are happy to provide our services at any stage of the lifecycle.
AI can be used by organisations to provide new goods and services, boost productivity, enhance competitiveness, ultimately leading to economic growth and better quality of life.
Learn more about how we can help you achieve your critical priorities: