Five easy-to-follow steps to begin your Generative AI journey

Over the last few months, we have been building our knowledge and working with clients on what is being termed the third wave of the digital evolution, Generative AI. If the 2000s were about the internet, the 2010s about mobile, then the current decade might well be the decade of Generative AI. 

The impact of generative artificial intelligence (GAI) on work is multifaceted and evolving. Typically built on foundation models, GAI offers new capabilities and has vastly improved existing ones across a broad range of modalities, including images, video, audio, and computer code. AI trained on these models can perform several functions; it can classify, edit, summarise, answer questions, and draft new content, among other tasks. 

At a Google AI conference last week they shared research they conducted that found that 80% of Boards stated that Generative AI was a top priority, and yet only 10% were satisfied with their AI business outcomes and value so far. Perhaps no surprises here, but what is critical for all organisations is that they navigate a pathway to stay competitive in what is an incredibly fast moving industry. In a very short space of time Generative AI has advanced to the point where it could be valuable to huge swaths of the work people do every day, saving them time and helping them create content, code and better customer experiences faster than ever before. Whilst we are all at the beginning of the journey to understand GAI’s impact, McKinsey, BCG and others believe it will transform the way we work and has the potential to unlock trillions of dollars in value. But along with the opportunity, come risks, a lot of change and ambiguity. 

Generative AI is a threat and an opportunity. Organisations must seize the advantages and manage the risks or face getting left behind. So, how to start well on your journey? At Mindyasa, we are helping our clients do this through a mix of technology strategy development and quick win workshops for specific departments including Marketing and Customer Service. 

Based on our experiences to date and listening to best practice from other thought leaders at the likes of Google, Microsoft and McKinsey here are five good and sensible steps to build clarity and flow around GAI in your organisation.

  1. Create a set of principles for how you will take advantage of AI and what you won’t do. Organisations should establish guidelines and frameworks that prioritise transparency, fairness, and respect for user privacy and ensure the responsible and ethical deployment of generative AI within the company. For examples see Google’s Responsible AI principles, or try writing a prompt into a GenAI tool to see what you get back. 

  1. Design a governance structure for how and who will make decisions on all matters related to GAI. Ensure your decision makers represent a diverse set of voices from across your team. 

  1. Map a process so that all team members are clear on how GAI product use cases will be reviewed and assessed for value and risk prior to sign off for development. Identify, assess and mitigate potential impacts before they are generally live to customers based on AI principles.

  1. Assess your capabilities and capacity today and what you think you might need in the future. Businesses should embrace a culture of continuous learning and upskilling. Equipping the workforce with the necessary knowledge and skills will enable teams to effectively leverage GAI technologies, driving innovation and realising their full potential. Partnerships and collaborations with third parties may also be part of your thinking here. Once you know your starting point and goals, develop a plan to close any gaps. 

  1. Create a GenAI strategy and roadmap that demonstrates how you will deploy GAI to operate, compete and win and the value you will create. Document a set of prioritised value-based initiatives and a corresponding roadmap.

These five are our starting points with our clients, what are yours? As we continue on our journey and those of our clients, we’d be interested in hearing about your experiences to date and lean into conversations about building GAI strategies that take advantage of the inherent opportunities in a responsible way.

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Mindyasa Limited
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England HA4 9UU