GovTech STACK 2026 · Marina Bay Sands, Singapore
Agentic Patterns in Enterprise AI
- Date
- Tuesday, 3 November 2026
- Time
- 09.00 to 12.00 (GMT+8)
- Venue
- Level 4 Junior Ballroom, Marina Bay Sands, Singapore
- Session
- Workshop 04, STACK 2026
- Speaker
- Samuel Chan, Supertype
Gallery
What we covered
Supertype spoke at this year's GovTech STACK conference at Marina Bay Sands, Singapore. Samuel Chan led a hands-on workshop on the building blocks of Agentic AI systems deployed in the real world. These include production-ready concepts pioneered by OpenAI, Anthropic, and leading LLM practitioners in the industry, coupled with first-hand experience from AI engineers at Supertype.
Covering:
- Building Agentic Systems beyond Chatbots
- 6 Agentic AI Patterns for multi-agent AI systems
- Guardrails and Enterprise Considerations
Audience
Product leaders and technical business leaders who wanted a more technical, first-principles glimpse of an agentic-enabled workforce beyond chat-and-query use cases.
Missed the session, or want to take it further with your team? Get in touch.
Read the book behind the workshop
The Enterprise AI Agentic Stack
Samuel Chan ⋅ 2026-04-03
The architecture behind these patterns is written up in The Enterprise AI Agentic Stack, by Samuel Chan. A CTO's Guide to architecting Enterprise AI Backends with the LEAVES framework, written for product leaders and business stakeholders who seek a ground-up understanding of the enterprise AI tech stack.
Browse Supertype publicationsYour Instructor
I am a 3-time software entrepreneur (currently Sectors, Algoritma and Supertype, with 1 successful exit). Between 2013 and 2017, I have built and sold a company that operates in the space of chatbots, natural language AI and marketing automation whilst living between Beijing, Tokyo and my home town Singapore. I am also a prolific contributor on GitHub, with many open source tools, libraries, and open courses on Large Language Model and Computer Vision.
- Prolific software entrepreneur (Audience Kit, HyperGrowth (sold), Growth Bot (sold), Sectors Financial Data Suite, Viably) over 2 decades while living and building engineering teams in Singapore, Beijing, Tokyo and Jakarta.
- First in Southeast Asia to receive certification in Microsoft Data Science professional program (2014) and certification in MongoDB (2014). Also recipient of Graph Analytics for Big Data from UC San Diego, Machine Learning by Stanford (2016). First recipient in Asia for RStudio's certification program.
- Accredited instructor (NTUC Singapore, IBF Singapore) and guest lecturer in various institutions including University of Indonesia, Institute of Technology Bandung, Ngee Ann Polytechnic and Singapore Institute of Technology
- In-house consultant to SEGA-backed goGame, publisher of Disney Crossy Road, Big Hero 6, Adaro (IDX: ADRO) group of companies and ex-employment at DNP Group (TYO:7912), Gumi (TYO:3903), DianDian FunPlus (600634.SH), year-long consulting at Beijing, Tokyo between 2011 and 2016.
- Contributor to various publications including the Logistics Institute by NUS (National University of Singapore)
Veteran AI Educator
Taught AI Development to over 17,000 students since 2020 and an active contributor to LLM tooling and open source work.
YouTube Views on LLM Generative AI Series (youtube.com/samuelchan)
on LLM education series: GitHub (@onlyphantom/llm-python)
Open source scripts and LLM tooling resources on GitHub (@onlyphantom)
People reached on my StackOverflow (@onlyphantom) account
Recognized contributor on AI topics, Python and R on StackOverflow
Of software engineering, enterprise analytics & AI engineering experience
Hosted by GovTech as part of the official STACK 2026 programme.