10th June 2025
Driving Operational Efficiency: AI in Action
At FPE, we're dedicated to identifying and leveraging technologies that deliver tangible improvements in operational efficiency for our portfolio. Our recent event ‘AI for Operational Efficiency’ provided an opportunity for in-depth discussion and practical exploration of this rapidly evolving field. The emphasis was on demystifying AI and providing actionable opportunities for leaders to take away and apply to their business.
1. Keynote & Live Demo: The Evolving AI Landscape with Joshua Wöhle (Mindstone)
Joshua Wöhle, CEO & Co-Founder of Mindstone, kicked off the event with a pragmatic perspective on the current state of AI. He moved beyond theoretical discussions to showcase real-world applications and provide practical guidance on how businesses can harness AI to optimise operations.
Joshua's live demonstration focused on how non-technical teams can effectively utilise AI tools, emphasising the power of "prompt engineering" as a key skill.
Deeper Dive & Key Takeaways:
Prompt Engineering: A Practical Toolkit
- Persona Prompting: Joshua demonstrated tailoring AI responses by adopting specific roles (e.g., "Imagine you are a personal assistant" or “Imagine you are a content marketer”). He explained that this guides the AI to a specific area of its knowledge, puts more weight on relevant information, and provides a framework for the AI to follow.
- Reasoning Requests: He emphasised asking AI to "show its working" or explain its reasoning before providing an answer. This technique, he noted, significantly improves the quality of AI outputs by making the reasoning part of the input for the final answer.
- Iterative Refinement: Joshua highlighted prompting as an ongoing process of experimentation and adjustment to achieve optimal results.
- Additional Techniques: Joshua also touched upon other valuable prompting techniques such as reverse questioning (having AI ask clarifying questions), few-shot prompting (providing examples of desired output), self-evaluation (having AI assess its own work), and cross-tool workflows (combining different AI tools for specific strengths).
AI for Workflow Enhancement: Joshua illustrated how AI can be integrated into existing workflows to automate repetitive tasks and enhance decision-making, ultimately freeing up employees to focus on higher-value activities.
- Specific AI Tools Demonstrated: Joshua provided real-life demonstrations using a variety of AI tools including ChatGPT, Perplexity and Gamma, as well as many more.
Key Insights from the Demo:
- Mindset Shift: Joshua emphasised that a significant part of successful AI adoption involves a mindset shift, viewing AI as a conversational partner rather than just a question-answering tool.
- Tool Selection & Pricing: He discussed the accessibility of many AI tools, with most costing around $20 a month, and the potential ROI justifying higher-tier subscriptions for business use.
- Understanding AI Capabilities: Joshua introduced the concept of a "utility threshold," explaining that AI models become increasingly valuable as they reach a certain level of accuracy and efficiency.
- The Future of Agents: He highlighted the growing importance of AI agents, which can autonomously execute tasks and use other tools, representing a significant advancement in AI capabilities.
2. AI Adoption Framework: Stephen Russell & Emanuel (Crosslake Technologies)
Following the keynote, Stephen Russell and Emanuel Kuce Radis from Crosslake Technologies presented a session outlining a structured framework for assessing AI adoption and identifying opportunities within businesses. They also provided an overview of risks that leadership teams need to be aware of.
Deeper Dive & Key Takeaways:
- Strategic Alignment & Prioritisation: Crosslake stressed aligning AI initiatives with overall business strategy, prioritising projects based on ROI and feasibility.
- Phased & Iterative Implementation: They recommended a gradual, iterative approach, starting with pilot projects to minimise disruption and maximise learning.
- Data Foundation: The critical role of high-quality, well-governed data and robust data infrastructure for AI success was highlighted.
- Comprehensive Risk Management: Emphasis was placed on addressing risks like integration challenges, cost, potential biases, privacy, and security vulnerabilities.
- Holistic Transformation: Crosslake underscored that AI adoption is a fundamental shift optimising entire systems and value chains, not just adding isolated tools.
- Long-Term Planning: The session highlighted the need to consider ongoing maintenance, adaptation to evolving AI, and the cost of scaling AI solutions.
3. Roundtables & Shared Experiences: Practical Insights from Our Network
The event culminated in roundtable discussions, providing a valuable opportunity for portfolio companies to share their practical use cases, challenges, and lessons learned from AI adoption. This peer-to-peer exchange fostered a collaborative environment for learning what’s working (and what isn’t) in real business contexts.
Key Takeaways:
- Real-World Applications: Portfolio companies shared concrete examples of how they are currently implementing AI to solve business problems.
- Challenges and Solutions: The discussions openly addressed the hurdles encountered during AI adoption and the strategies being used to overcome them.
- Shared Learning: The roundtables highlighted the importance of the FPE network as a platform for sharing experiences and accelerating the learning process around AI.
- Practical Insights: Attendees gained valuable, first-hand knowledge of what works and what to avoid when integrating AI into their operations.
Our AI event provided a valuable forum for exploring the practical applications of AI for operational efficiency. The key takeaway is that successful AI adoption requires a grounded, strategic approach, with a focus on clear business objectives, robust data management, continuous learning, and an awareness of both the opportunities and the risks. At FPE, we're committed to supporting our network in navigating this evolving landscape and leveraging AI to drive sustainable value creation.
PLEASE NOTE: To ensure we truly captured the essence and key takeaways from this valuable morning, we used AI to assist in creating the event recap. It felt fitting, given the focus of the event, to leverage these very tools in our own process.