Bring AI into the work, not just the conversation.
My recent AI work includes a manufacturing leadership workshop and a video about using Claude to manage priorities. Visits to industrial and robotics businesses add another perspective on how AI and automation fit into operations.
Turn operational pain points into pilot proposals
In May 2026, I delivered an AI-first leadership workshop with Senna Labs for Mercedes-Benz Manufacturing Thailand. The condensed programme worked through five layers, beginning with business and data and moving towards an AI-first organisation.
Participants mapped pain points, designed AI use cases and pitched 90-day pilots. The exercises gave the session a concrete output: proposals tied to work inside the business. In a June reflection after the workshop, I discussed the human mindset and practical learning involved in becoming an AI-first manufacturer.
A work mentor connected to the working day
In July 2026, I co-created a Senna Labs video about using Claude AI as a personal work mentor. It explored customisation and connections with Google Calendar and project-management tools to support priority management.
Robotics needs a place in the business
During an August 2026 visit to TropicalTech, I explored humanoid robotics and physical AI. My account focused on connections to enterprise systems, understanding tasks and the question of return on investment for Thai businesses.
Earlier that summer, I visited Dutch Mill’s dairy plant in Nakhon Sawan, hosted by E80 Group and Matteo Tacconi. Seeing automation in an industrial setting provided a different context for those discussions: the organisation of manufacturing work and the exchange of experience with professional peers.
An earlier chapter in computer vision
Senna Labs was sharing AI experiments in 2020, including a face-recognition demonstration in July and face check-in with mood-detection functionality in September. These were company demonstrations, part of the team’s exploration of computer vision.
AI, work and business value.
In its 2 July, 2026 article, Senna Labs discusses Gartner’s perspective on AI and the workforce: look at tasks and skills, assess the value and cost of changing a process, and retain human judgment where it matters. Reducing headcount is not the same as creating value.
มอง AI ให้ทะลุกระแส ผลต่อกำลังคนและคุณค่าทางธุรกิจ ↗︎
This Thai-language article carries the Senna Labs byline; it is a company reading reference, not a personal authorship credit.
A starting point for learning.
The company also lists a free, 12-lesson online AI course for beginners. It is a Senna Labs learning resource, separate from my documented workshops.
Explore the company’s AI course ↗︎