Insights from BSI’s Future Learning Podcast
This article summarises the key points from BSI CEO Simon Dewar’s discussion with Section CEO Greg Shove and tech entrepreneur Tony Surtees, about the practical steps organisations can take to embark on their AI journey. From optimising internal operations to fostering an experimental mindset, this podcast provides actionable advice for businesses looking to effectively integrate AI.
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Embracing AI to Optimise Operations
Greg emphasised that the initial focus for organisations should be on using AI to optimise internal operations. AI has the potential to streamline processes, improve efficiency, and enhance productivity. He suggested that businesses start by selecting a few departments where AI can have a significant impact. Marketing, sales, and customer service are prime candidates, as these areas generate a lot of content and interact heavily with customers.
Conducting a Workflow Audit
Greg recommended conducting a workflow audit as a first step. Gather a small team from each department and map out current workflows. Identify areas where AI could provide improvements, such as automating repetitive tasks or generating insights from data. This collaborative approach helps teams understand how AI can enhance their specific functions and sets the stage for successful implementation.
Choosing the Right AI Tools
When selecting AI tools, Greg advised choosing based on your existing technology infrastructure. For instance, if your organisation uses Microsoft products, Microsoft Co-Pilot might be a suitable choice. Alternatively, OpenAI’s GPT tools can be considered for more general applications. The key is to start integrating AI into the identified workflows and build proficiency within the teams.
Building AI Proficiency
Greg highlighted the importance of developing AI proficiency within the organisation. He suggested that businesses aim to have at least 10% of their workforce proficient in AI within a year. For larger organisations, this could mean training hundreds of employees. This AI proficiency helps ensure that the organisation can fully leverage AI’s capabilities and fosters a culture of innovation.
Sharing Wins and Losses
As teams experiment with AI, it’s crucial to share both successes and failures. Greg encouraged open communication about what worked and what didn’t, allowing other teams to learn from these experiences and avoid repeating mistakes. This iterative approach helps refine AI applications and maximises their benefits across the organisation.
Creating Focused AI Projects
Tony added that creating specific AI projects can help focus efforts and measure outcomes effectively. By targeting particular goals, such as improving customer satisfaction or increasing operational efficiency, organisations can better assess the impact of AI. Running experiments and applying AI to achieve better outcomes can demonstrate its value and build momentum for further integration.
Hands-On Engagement with your AI journey
Simon reiterated the importance of hands-on engagement with AI. Rolling up your sleeves and getting involved with AI tools and projects is the best way to understand their potential. This practical experience helps individuals and teams see firsthand how AI can transform their work and encourages a proactive approach to adopting new technologies.
Conclusion
Starting your AI journey requires a strategic and practical approach. As Simon discussed, focusing on optimising internal operations, conducting workflow audits, choosing the right tools, building proficiency, sharing experiences, and creating focused projects are essential steps. Hands-on engagement and a willingness to experiment will drive successful AI integration and help organisations stay at the forefront of technological advancements.
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