Artificial intelligence (AI) is everywhere, from our everyday wearable gadgets to assistive software like ChatGPT. When conducting an AI readiness and enablement assessment, it’s crucial to implement AI in the right context and for the right reasons to make our digital lives easier.
Harnessed and implemented correctly, AI can bring significant efficiency gains to organisations, meaning AI adoption is a high priority on most strategic agendas. But ensuring AI readiness securely isn’t quite as simple as allowing generative AI access to all your valuable data. There are several factors that must be carefully managed to guarantee security, efficiency, and trustworthy results.
The first thing to check is whether your organisation is actually AI ready.
AI Readiness Assessment: How AI ready are you?
- Do you have the adoption of AI including, ChatGPT, Copilot, Power BI adoption, and other software on your strategic agenda?
- Do you understand how AI needs to be applied to bring the most efficiency gains?
- Do you have a plan for which AI use cases to adopt first?
If your answer isn’t ‘yes’ to all of the above, then your organisation may not be able to comprehensively and effectively AI adoption. To change that, here are some themes for consideration.
AI adoption readiness: key considerations and associated risks
Security: do you understand the location and content of the data that AI will have access to, and do you have confidence in your data and AI consultancy?
Risk: we have seen several cases where sensitive information has been made available to AI through a lack of AI readiness assessment due diligence. You must account for all available data to avoid this.
Use case selection: have you carefully selected AI use cases against the business benefits versus AI adoption challenges criteria to ensure a safe and cost-effective implementation?
Risk: with so many options for using AI, we often see organisations looking to adopt use cases that aren’t appropriate for them, making them ineffective.
Quality of data: do you fully understand the quality and aspects of the data AI will access, such as bias? If you’re using it to inform business decisions, it’s crucial for understanding and interpreting the outcomes.
Risk: if you lack this understanding, your results could be skewed, which means the results will be incorrect, untrustworthy, and cannot be relied upon.
Implementation: have you got a mechanism to prove the concepts and benefits of AI advancements adoption to senior leaders who want to see rapid delivery of return on investments?
Risk: whilst AI is high on the agenda, business leaders want to see the business case around it. Take too long to articulate this and the funding will likely go elsewhere.
Let’s explore the benefits AI adoption can bring to your organisation.
Can you afford to lose out on the benefits?
Businesses that have adopted AI advancements are already benefiting from the following:
Efficiency gains
Automated operational processes: AI helps to generate substantial cost savings by revolutionising tedious administrative and operational tasks such as document processing, data entry, employee onboarding, and workflow automation.
Optimised external operations: By identifying the modules which are redundant or can be improved, AI helps to increase efficiencies in external operations.
Customer and colleague satisfaction
Enhanced products & services: AI enhances products and services, leading to improved customer satisfaction which in turn increases market share.
Facilitate creativity: The automation of routine tasks frees up employee time to focus on more creative and strategic tasks, leading to increased productivity and innovation.
Ensure successful AI adoption by engaging with us through our Dufrain AI Readiness Assessment
We will work with you to provide the following:
Data security assessment
We’ll help you fully understand the AI data security and management needs by scanning your data landscape and:
- Informing you where sensitive information resides
- Highlighting potential security issues
- Providing high-level data management recommendations.
AI use case evaluation
Our AI evaluation framework helps by assessing each potential AI use case for appropriateness, risk, complexity, and more, in turn:
- Enabling you to assess each AI use case against four key implementation themes
- Providing 50+ business-related criteria, allowing each AI use case to be risk-assessed
- Providing the confidence to proceed on your AI adoption journey knowing you’ve selected the most suitable use cases.
AI use case development
Join our Data Labs to help secure ongoing support and sponsorship for new data initiatives by:
- Utilising our existing tools and techniques for rapid data development
- Testing, validating, and refining initial concepts
- Delivering an end-to-end AI use case in a secure environment to prove business benefits.
Ready to accelerate your AI adoption?
Speak to one of our data experts to assess your AI readiness and take advantage of our free toolkit offering and discover how we can support your organisation’s journey towards AI empowerment and navigate AI adoption challenges..