May's AI Revolution: Transforming Business, One Innovation at a Time 🚀
May Edition
Welcome to the May edition of The Token 🌸 Last month was marked by groundbreaking AI releases, with major updates from OpenAI, Meta, and Google each pushing the boundaries of what's possible.
In this issue, we're diving into our new AI Business Transformation Program, and exploring how AI is making practical impacts in traditional industries like manufacturing 🚀
📰 Bites
🎯 OpenAI unveils o3 and o4-mini models - their most capable models yet with full tool access, pushing the boundaries of AI capabilities https://openai.com/index/introducing-o3-and-o4-mini/
🦙 Meta releases Llama 4 with two variants: Scout and Maverick, featuring multi-modal capabilities and state of the art performance for their size https://ai.meta.com/blog/llama-4-multimodal-intelligence/
🧮 AI was tested against 2025 USA Math Olympiad problems and was only able to solve 5% of problems which is in stark contrast to the performance in other math benchmarks indicating that there might be some limitations with current technologyhttps://arxiv.org/abs/2503.21934v1
🖼️ OpenAI launches a much more controllable and powerful image generation model inside ChatGPT https://openai.com/index/introducing-4o-image-generation/
🔥 Google releases their latest Gemini model which seems to outperform all other models with a comfortable margin https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#gemini-2-5-pro
🎓 Introducing Our AI Business Transformation Program!
We're excited to announce our new AI Business Transformation Program! This comprehensive service helps businesses explore and implement AI effectively through three key phases:
Education: We start by empowering your team with practical knowledge about AI tools already in your tech stack (like Microsoft 365 Copilot, Google Workspace AI features, and AI capabilities in common CRM/ERP systems), ensuring everyone understands and can maximize the capabilities at their fingertips.
Discovery: Through targeted workshops, we demonstrate AI capabilities and help identify opportunities specific to your business needs and objectives.
Strategy: Finally, we develop a comprehensive AI adoption plan that includes cost-benefit analysis, implementation timelines, and strategic milestones aligned with your business objectives.
Reach out to us to learn more about the program and schedule a time that works best for your business at https://mantisnlp.com/contact/#cta
💡 AI in Manufacturing: A Real-World Story
Co‑founder Matt Upson recently posted on LinkedIn about a conversation he had while hiking Germany’s Palatinate hills over Easter with an exec from a precision‑manufacturing firm.
His three takeaways for bringing AI into legacy-heavy industries:
Fix knowledge management first: document the expert know‑how that currently lives only in engineers’ heads so AI models have something to work with, but more importantly to reduce the bus factor - AI can help here.
Draw a map: think strategically about where to invest your resources. Techniques such as Wardley Mapping can be useful to see where AI is racing from novelty to commodity.
Target the painful, time‑sucking tasks: work to automate repetitive work (tendering drafts, marketing copy, etc.) augmenting staff, not replacing them. Don’t get lazy and rely 100% on AI. It’s obvious, and it doesn’t go down well.
Bottom line: AI transformation in large organisations comes from lots of small, practical wins that deliver business value, not headline‑grabbing moon‑shots.
Interested to see how your organisation can optimize its processes by integrating AI? Get in touch with us for a free consultancy call with one of our AI experts https://mantisnlp.com/contact/#cta