Thomas Winter
Field AI Architect | Board 2 Bot
Based in Switzerland (Zurich/Winterthur), operating internationally
I turn executive intent into deployed AI workflows, decision systems, and operating cadence.
Not demos. Systems that run.
Contact
What I Do
Field AI Deployment
Design and deploy AI-enabled workflows and systems into real operating environments.
Decision Systems
Build decision layers, inspection cadence, and feedback loops that executives actually use.
Workflow Orchestration
Connect data, automation, and human-in-the-loop boundaries so work moves from intent to execution.
How I Work
Clarity over comfort
Leverage over effort
Execution over narrative
No AI theatre
Inspection cadence over opinions
Systems I've Built
1
Blizzard Ventures (Field AI Systems)
Problem: Teams need usable execution systems, not more meetings or slides.
System built: Built a radar tracking key trending topics in my field, plus multiple deployed automation systems.
What changed: Improved signal quality and execution readiness through running workflows.
Stack: n8n, LLMs, automation, Postgres/SQL (via n8n)
Examples:
  • Built three automated stock trading agents.
  • Rebuilt and expanded an LLM Council workflow with Claude Code to compare options, critique outputs, and produce a final decision memo.
  • Built clubhouse access management, including member registration workflows.
2
Story-Boards.ai (Business Intelligence Reporting)
Problem: Subscription businesses need decision-grade visibility into activation, retention, and churn.
System built: Built business intelligence reporting and automated decision cadences from product and revenue signals.
What changed: Enabled faster, more consistent weekly decisions based on observable behavior.
Stack: n8n, Postgres/SQL (via n8n), dashboards, LLM-assisted interpretation
3
Sovereign AI Scale Up (GTM Operating System)
Problem: A growing GTM team needed repeatable pipeline execution and clear inspection routines.
System built: Implemented a new CRM setup in Pipedrive and built automation for events, invitations, registration, and pipeline interpretation.
What changed: Improved pipeline discipline via seller-level pipeline reviews and leadership-ready pipeline reporting.
Stack: Pipedrive, n8n, automation, dashboards
4
HWZ (Executive AI Programs + Personalised Summaries)
Problem: Executives need practical AI workflows they can understand, trust, and apply.
System built: Demonstrated an n8n AI workflow that uses Perplexity research + lecture transcripts + participant interests to generate individual participant summaries (5i).
What changed: Participants received personalised outputs linked to their background and stated interests.
Stack: n8n, Perplexity, transcripts, LLMs, workflow automation
Tools
Workflow & Data
n8n, airtable
Dev
Cursor; VSCode; Claude Code
LLMs
ChatGPT; Claude; Perplexity (research); Gemini (images/video)
Docs/Collab
Google Workspace (recent switch from Microsoft 365)
Visuals
Gamma
About
Earlier work around adoption dynamics and organisational behaviour made it clear that technology alone does not change outcomes. Later, while working with a sovereign AI infrastructure provider, it became obvious that building secure compute and models solves only the bottom layer. What determines impact is what runs on top of that infrastructure. That gap is what led me to focus deeply on agentic workflows, decision systems, and operating cadence — the layer where AI actually becomes usable inside organisations.
I have 25 years across Cisco and Microsoft in senior roles spanning sales, ecosystems, and digital systems. Today I build and deploy AI systems in startups and scale-ups, focused on workflows, decision layers, and operating cadence. I work best in ambiguous, high-stakes environments where systems must run beyond the demo.
Field AI Architecture
Executive intent to deployed systems. Decision layers that run. Workflows that execute.
Ready to Deploy Real Systems?
If you need AI workflows that move beyond demos into production execution, let's talk.
I work with executives and teams who need clarity, leverage, and systems that actually run.
© 2025 🧑‍🎄 / 🍾2026 Thomas Winter · #Board2Bot

Based in Switzerland (Zurich/Winterthur) · Operating internationally